[Home](https://www.selecthub.com/) \> [Big Data](https://www.selecthub.com/category/big-data-analytics/) \> [Big Data Analytics Tools](https://www.selecthub.com/c/big-data-analytics-tools/) \> [Starburst](https://www.selecthub.com/p/big-data-analytics-tools/starburst-data/) \> Starburst Alternatives 

# Top Starburst Alternatives & Competitors For 2026 

Last Updated: September 8th, 2026 

Looking for alternatives to [Starburst](https://www.selecthub.com/p/big-data-analytics-tools/starburst-data/)? Many users crave user-friendly and feature-rich solutions for tasks like Computer Vision and Internet of Things (IoT), Dashboarding and Data Visualization, and Data Management. Leveraging crowdsourced data from over 1,000 real [Big Data Analytics Tools](https://www.selecthub.com/c/big-data-analytics-tools/) selection projects based on 400+ capabilities, we present a comparison of Starburst to leading industry alternatives like Alteryx, Apache Pig, Azure Synapse Analytics, and Gigasheet. 

Remove Add to Compare 

Select Product Alteryx Apache Pig Azure Data Lake Azure Databricks Azure Synapse Analytics dbt Labs Exasol Gigasheet Hadoop KNIME Looker Studio Oracle Analytics Cloud Qlik Sense RapidMiner SAP Analytics Cloud SAS Viya Spark Spotfire Starburst Tableau 

[![Starburst Software Tool](https://cdn.selecthub.com/products/e6dc5789517d0ecd1b071903c4810eaa-13a1fae9b82409212cde87b7ba8e5fe9/resources/original/logo.svg?1747072733)](https://www.selecthub.com/p/big-data-analytics-tools/starburst-data/) 

Remove Add to Compare 

Select Product Alteryx Apache Pig Azure Data Lake Azure Databricks Azure Synapse Analytics dbt Labs Exasol Gigasheet Hadoop KNIME Looker Studio Oracle Analytics Cloud Qlik Sense RapidMiner SAP Analytics Cloud SAS Viya Spark Spotfire Starburst Tableau 

[![Alteryx Software Tool](https://cdn.selecthub.com/products/b887d8d5e65ac4dec3934028fe23ad72-cdb8aeb555e57add783cdd391e2c58cd/resources/normal/logo.png?1693317020)](https://www.selecthub.com/p/big-data-analytics-tools/alteryx/) 

[ ![Product Awards](https://www.selecthub.com/display/images/awards_badge.svg) ](#awards-section) 

Remove Add to Compare 

Select Product Alteryx Apache Pig Azure Data Lake Azure Databricks Azure Synapse Analytics dbt Labs Exasol Gigasheet Hadoop KNIME Looker Studio Oracle Analytics Cloud Qlik Sense RapidMiner SAP Analytics Cloud SAS Viya Spark Spotfire Starburst Tableau 

[![Apache Pig Software Tool](https://cdn.selecthub.com/products/c900fe92840c527a0c54f28640c2f254-4be455a586ffbeaf103927f9b8dcd076/resources/normal/logo.png?1693318193)](https://www.selecthub.com/p/big-data-analytics-tools/apache-pig/) 

Remove Add to Compare 

Select Product Alteryx Apache Pig Azure Data Lake Azure Databricks Azure Synapse Analytics dbt Labs Exasol Gigasheet Hadoop KNIME Looker Studio Oracle Analytics Cloud Qlik Sense RapidMiner SAP Analytics Cloud SAS Viya Spark Spotfire Starburst Tableau 

[![Azure Synapse Analytics Software Tool](https://cdn.selecthub.com/products/a81bd8c135d4b8f4a58b6c1890f3ca86-ac8a30eb4a5da7ddb277e909105079b3/resources/normal/logo.webp?1749239762)](https://www.selecthub.com/p/big-data-analytics-tools/azure-synapse-analytics/) 

Remove Add to Compare 

Select Product Alteryx Apache Pig Azure Data Lake Azure Databricks Azure Synapse Analytics dbt Labs Exasol Gigasheet Hadoop KNIME Looker Studio Oracle Analytics Cloud Qlik Sense RapidMiner SAP Analytics Cloud SAS Viya Spark Spotfire Starburst Tableau 

[![Gigasheet Software Tool](https://cdn.selecthub.com/products/6e6b9075117b29df027aeab02d92dab9-0f01d23d07498499341ff299d0bc5846/resources/normal/logo.webp?1747073102)](https://www.selecthub.com/p/big-data-analytics-tools/gigasheet/) 

[ ![Product Awards](https://www.selecthub.com/display/images/awards_badge.svg) ](#awards-section) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Big+Data+Analytics+Tools&product%5Fname=Starburst&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fe6dc5789517d0ecd1b071903c4810eaa-13a1fae9b82409212cde87b7ba8e5fe9%2Fresources%2Foriginal%2Flogo.svg%3F1747072733) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Big+Data+Analytics+Tools&product%5Fname=Alteryx&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fb887d8d5e65ac4dec3934028fe23ad72-cdb8aeb555e57add783cdd391e2c58cd%2Fresources%2Fnormal%2Flogo.png%3F1693317020) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Big+Data+Analytics+Tools&product%5Fname=Apache%2BPig&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fc900fe92840c527a0c54f28640c2f254-4be455a586ffbeaf103927f9b8dcd076%2Fresources%2Fnormal%2Flogo.png%3F1693318193) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Big+Data+Analytics+Tools&product%5Fname=Azure%2BSynapse%2BAnalytics&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fa81bd8c135d4b8f4a58b6c1890f3ca86-ac8a30eb4a5da7ddb277e909105079b3%2Fresources%2Fnormal%2Flogo.webp%3F1749239762) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Big+Data+Analytics+Tools&product%5Fname=Gigasheet&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F6e6b9075117b29df027aeab02d92dab9-0f01d23d07498499341ff299d0bc5846%2Fresources%2Fnormal%2Flogo.webp%3F1747073102) 

### Product Insights 

 Overall Rating Comparison 

[ Analyst Rating we're gathering data ](#analyst-rating-section) [  User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (132 Reviews) ](#user-sentiment-section) 

[ Analyst Rating Alteryx - Analyst Score: 86 out of 100 86 Detailed Analysis ](#analyst-rating-section) [  User Sentiment ![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) (496 Reviews) ](#user-sentiment-section) 

[ Analyst Rating we're gathering data ](#analyst-rating-section) [  User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (43 Reviews) ](#user-sentiment-section) 

[ Analyst Rating Azure Synapse Analytics - Analyst Score: 78 out of 100 78 Detailed Analysis ](#analyst-rating-section) [  User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (106 Reviews) ](#user-sentiment-section) 

[ Analyst Rating we're gathering data ](#analyst-rating-section) [  User Sentiment ![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) (32 Reviews) ](#user-sentiment-section) 

Price Starts From 

$0.50/Credit, Usage-Based 

[Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=Starburst&category=Big Data Analytics Tools&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/e6dc5789517d0ecd1b071903c4810eaa-13a1fae9b82409212cde87b7ba8e5fe9/resources/original/logo.svg?1747072733) 

$99/User, Monthly 

[Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=Alteryx&category=Big Data Analytics Tools&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/b887d8d5e65ac4dec3934028fe23ad72-cdb8aeb555e57add783cdd391e2c58cd/resources/normal/logo.png?1693317020) 

$0 Free, Open-Source 

Free Trial is unavailable → 

$1.25/Hour, Usage-Based 

[Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=Azure Synapse Analytics&category=Big Data Analytics Tools&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/a81bd8c135d4b8f4a58b6c1890f3ca86-ac8a30eb4a5da7ddb277e909105079b3/resources/normal/logo.webp?1749239762) 

$95 Monthly 

[Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=Gigasheet&category=Big Data Analytics Tools&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/6e6b9075117b29df027aeab02d92dab9-0f01d23d07498499341ff299d0bc5846/resources/normal/logo.webp?1747073102) 

Product Ranking 

## #13

among all   
Big Data Analytics Tools

## #2

among all   
Big Data Analytics Tools

## #16

among all   
Big Data Analytics Tools

## #11

among all   
Big Data Analytics Tools

## #18

among all   
Big Data Analytics Tools

[Find out who the leaders are](https://pmo.selecthub.com/request-custom-scorecard?post%5Ftype=alt%5Farticle&name=big-data-analytics-tools%5F%5Fstarburst-data&category%5Fslug=big-data-analytics-tools&product%5Fslug=starburst-data&product%5Fname=Gigasheet&category=Big+Data+Analytics+Tools&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fbig-data-analytics-tools%2Fstarburst-data%2Falternatives%2F) 

Pros 

* **Unified Data Access:** Starburst allows you to query data across all sources, eliminating the need to move data to a central location.
* **Fast Performance:** Starburst leverages a high-performance distributed SQL engine to provide fast query results, even with large datasets.
* **Strong Security:** Starburst offers enterprise-grade security features, including fine-grained access control and integration with authentication systems, making it suitable for businesses with strict security requirements.
* **Flexible Deployment:** Starburst can be deployed on various platforms, including hybrid, multi-cloud, and on-premises environments, providing flexibility in choosing the best deployment model for your needs.

* **Data Analysis:** All users who reviewed analytics said that the platform adds value to data through features such as statistical modeling and predictive analysis.
* **Data Processing:** Around 86% of the users who mentioned data processing said that, with a lightweight ETL tool, the solution excels at data wrangling for further analysis.
* **Data Integration:** Citing strong integration with multiple data sources and tools, around 84% of the users said that it works well with big data.
* **Ease of Use:** Approximately 83% of the users who mentioned ease of use said that the platform’s low-code approach, with drag-and-drop functionality, makes the interface user-friendly.

* **Ease of Use:** User reviews highlight Pig Latin's simple syntax as a key factor in its ease of use, especially for users without extensive Java knowledge. This allows for quicker development and execution of data processing tasks.
* **Optimized for Hadoop:** Apache Pig is specifically designed for the Hadoop ecosystem, seamlessly integrating with HDFS and MapReduce for efficient processing of large datasets.
* **Handles Large Datasets:** User reviews often mention Pig's ability to efficiently process and analyze massive datasets, making it suitable for big data analytics needs.

* **Scalability:** Azure Synapse Analytics is praised for its ability to seamlessly scale resources to handle growing data volumes and complex workloads.
* **Integration:** Users appreciate the tight integration with other Azure services, making it easy to build end-to-end data solutions within the Azure ecosystem.
* **Real-time Insights:** The platform's support for real-time data analytics enables users to gain timely insights from streaming data sources, improving decision-making.
* **Data Security:** Azure Synapse Analytics is lauded for its robust security features, including encryption and access controls, ensuring data privacy and compliance.

* **No-Code Platform:** Gigasheet is praised in user reviews for its no-code platform, which makes it accessible to both beginners and experienced users, regardless of their coding skills.
* **User-Friendly Interface:** Users consistently highlight the software's user-friendly interface, making it easy to navigate and use, even for complex data analysis tasks.
* **Data Manipulation and Analysis:** Gigasheet is lauded for its powerful data manipulation and analysis capabilities, enabling users to perform complex operations with ease.
* **Integration Options:** The software's extensive integration options with various platforms are highly appreciated, allowing users to connect and work with data from different sources seamlessly.

Cons 

* **Resource Consumption:** Starburst may consume significant resources, potentially impacting performance when handling very large datasets, as highlighted in user reviews.
* **System Complexity:** Setting up and configuring Starburst can be complex, demanding a longer initial training period for new users, according to user reviews.
* **Query Window Limitation:** A user review mentioned the inconvenience of the query window closing without automatically saving work, potentially leading to loss of progress.
* **Complex Query Performance:** Some user reviews indicated that very complex queries could sometimes lead to performance issues and slow down the system.

* **Cost:** In addition to the high cost of licenses, the price of add-ons is limiting, said around 89% of the users who reviewed pricing.
* **Data Visualization:** Around 75% of users who reviewed its presentation capabilities said that with outdated graphics, the platform lags behind other solutions in data visualization.
* **Performance:** The solution is prone to infrequent crashes, especially when processing large amounts of data, as said by 65% of users who discussed performance.
* **Training:** Approximately 54% of the users who reviewed learning said that with the documentation not being up to date with latest features, there is a steep learning curve and training is required.

* **Falling Behind:** User reviews reflect that Apache Pig's popularity has decreased as newer technologies like Apache Spark have emerged, offering more features and better performance.
* **Performance Bottlenecks:** As per user reviews, while Pig simplifies MapReduce, complex tasks, especially with skewed data, can still face performance issues, making it less efficient than writing custom MapReduce jobs in certain scenarios.

* **Cost Complexity:** Some users find managing costs in Azure Synapse Analytics complex, as resource scaling and query optimization may require careful monitoring to avoid unexpected expenses.
* **Learning Curve:** There's a learning curve associated with the platform, especially for users new to Azure services, which can slow down initial adoption and implementation.
* **Data Volume Challenges:** Handling extremely large data volumes can be challenging and may require additional resources, impacting overall cost-effectiveness.
* **Integration Complexity:** While Azure Synapse Analytics integrates well with Azure services, some users have reported challenges when integrating with external systems, which may require custom solutions.

* **Limited Customization:** User reviews indicate Gigasheet may have limitations in customization, particularly when users need specific features or integrations not offered by the platform.
* **Speed Limitations:** While Gigasheet is designed for large datasets, user reviews suggest it might be slower than some alternatives, especially when editing and transforming data or working with exceptionally large files.
* **Data Viewing Constraints:** User reviews mention Gigasheet divides data into "pages," which could be limiting for users who prefer to view and interact with their entire dataset seamlessly.

### Our Review 

 Is Starburst the "star" performer when it comes to Big Data Analytics, or does it fizzle out? User reviews from the past year indicate that Starburst shines brightly in several key areas. Its ability to connect to and query data from various sources, like relational databases and cloud storage, without needing to move the data, is a major plus. Users rave about how this "single point of access" simplifies their analytics workflow and eliminates the need for time-consuming data transfers. For instance, one user highlighted how Starburst's data lakehouse architecture allows them to seamlessly query data across different formats and locations, significantly speeding up data analysis for their team. However, some users have pointed out that Starburst can be a resource hog, especially when dealing with massive datasets, leading to potential performance hiccups and higher costs. One user specifically mentioned the need for careful resource management policies to avoid unexpectedly high compute costs. Think of it like a powerful engine that, while capable of incredible speed, can guzzle fuel if not handled carefully. Despite this drawback, Starburst's strengths, particularly its unified data access, high performance, and robust security features, make it a compelling choice for organizations looking to streamline their Big Data Analytics. Its ability to handle complex queries across diverse data sources at scale makes it particularly well-suited for data-driven businesses in need of a robust and scalable analytics solution. 

Show more 

 Alteryx is a data science solution that leverages the power of AI and ML to blend, parse, transform and visualize big business data to promote self-serve analysis of business metrics. Many users who reviewed data analysis said that the tool performs statistical, spatial and predictive analysis in the same workflow. Most of the users who reviewed data processing said that, with a lightweight ETL tool, the platform has strong data manipulation and modeling efficiencies, though some users said that it can be tricky to use SQL queries. Citing integration with Power BI, Tableau and Python, most of the users said that the tool connects seamlessly to data from databases and files, apps, and third-party data sources, among others, to expand the reach of search-based and AI-driven analytics. Most of the users who discussed ease of use said that the tool is intuitive with drag-and-drop functionality and a well-designed interface, though some users said error handling can be challenging for automated workflows. Most of the users who reviewed support said that online communities are helpful in providing answers to queries. Citing automated workflows, many users said that the tool helps save time, though some users said that these can be overly complex and need improvement. On the flip side, many users who reviewed pricing said that its expensive licenses and add-ons are cost-prohibitive, and cost per core is high for enterprises looking to scale. A majority of users who reviewed its visualization capabilities said that they need to export data to visually stronger applications, such as Tableau or Power BI, to make the reports presentation-worthy. Citing slow runtimes when executing complex workflows, especially with large datasets, many users said that performance-wise, the solution is prone to infrequent crashes. Most of the users who discussed learning said that with documentation not being in sync with latest releases, training is a must to optimally use the tool. Overall, Alteryx is a data science tool that, with its low-code approach and strong data wrangling capabilities, makes the journey from data acquisition to data insights seamless and promotes data literacy across organizations, though it might be better suited for medium- to large-sized organizations. 

Show more 

 Is Apache Pig hogwash or the gold standard in the world of Big Data? While not exactly the latter, Apache Pig has its place. Users consistently praise Apache Pig for its user-friendly scripting language, Pig Latin, which simplifies complex data transformations, making it a more accessible alternative to writing intricate MapReduce programs in Java. For instance, tasks like filtering and aggregating large datasets can be achieved with significantly less code compared to traditional MapReduce, allowing users to focus on data analysis rather than intricate programming details. This simplicity makes it particularly appealing for users without deep Java expertise, enabling them to quickly adapt and become productive in a Hadoop environment.However, Apache Pig's limitations are also apparent in user feedback. A recurring concern is its performance, particularly when handling smaller datasets where it can feel sluggish compared to more modern alternatives like Apache Spark. Additionally, the implicit data schema, while simplifying development, can sometimes lead to runtime errors that are difficult to debug. This lack of strict type checking during compilation can be a pain point for users accustomed to more robust data validation in other tools. In conclusion, Apache Pig is best suited for organizations deeply entrenched in the Hadoop ecosystem, particularly those dealing with large datasets and requiring a simpler alternative to Java-based MapReduce programming. Its strength lies in its ability to streamline ETL processes and empower users with varying technical backgrounds to perform data manipulations efficiently. However, its limitations in performance, particularly with smaller datasets, and the potential for runtime errors due to its implicit data schema, make it a less attractive option for organizations seeking cutting-edge performance or working with more dynamic data environments. 

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 User reviews for Microsoft Azure Synapse Analytics generally highlight its strengths in scalability, integration, and real-time analytics. Many users appreciate its ability to seamlessly scale resources and integrate with other Azure services, simplifying end-to-end data solutions. The support for real-time data analytics also receives positive feedback for enabling timely decision-making. However, some users note challenges associated with cost management, citing complexity in monitoring and controlling expenses. There's a learning curve for newcomers, which can slow down initial implementation. Handling large data volumes and complex queries may require extra resources and careful optimization. Integration with external systems can be complex, and resource scaling may impact query performance temporarily. In comparison to similar products, users find Azure Synapse Analytics competitive due to its tight integration within the Azure ecosystem and its machine learning capabilities. Despite some limitations, it is viewed favorably for its potential to deliver scalable, real-time insights and drive data-driven decision-making within organizations. 

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 Is Gigasheet really the "sheet" when it comes to big data analytics? User reviews from the last year suggest a resounding "yes!" Gigasheet has garnered overwhelmingly positive feedback for its unique ability to make big data analytics accessible to everyone, regardless of their technical expertise. Users consistently praise its intuitive spreadsheet-like interface, which one reviewer called "beautiful and easy to understand," making it a breeze to navigate and manipulate massive datasets, even for those who aren't data scientists. This stands in stark contrast to competitors like Row Zero, which, while functional, lack the robust data handling and advanced features of Gigasheet.A key strength highlighted by users is Gigasheet's impressive scalability. The software effortlessly handles datasets that would bring traditional spreadsheets to their knees, allowing users to process and analyze millions of rows of data without lag or performance issues. One user, who previously struggled with Google Sheets for managing a large email database, lauded Gigasheet for simplifying their entire workflow. Another user, analyzing Department of Transportation data, was able to process over 50 million rows in minutes, highlighting Gigasheet's exceptional speed and efficiency. This capability is largely attributed to Gigasheet's robust data warehouse backend, a feature that distinguishes it from in-memory spreadsheet solutions like Row Zero, which struggle to handle similar data volumes.Gigasheet's broad appeal stems from its ability to cater to a diverse user base. Its no-code platform empowers business users to perform complex data analysis without relying on IT or writing a single line of SQL. At the same time, its advanced features, such as data enrichment from services like ChatGPT and Google Maps, and integrations with CRMs and SaaS platforms, make it a powerful tool for data scientists and analysts. This versatility makes Gigasheet an ideal solution for organizations of all sizes looking to democratize data access and empower everyone to make data-driven decisions. Whether you're a marketing professional analyzing customer data, a financial analyst crunching numbers, or a researcher exploring large datasets, Gigasheet provides the tools and scalability to tackle any data challenge with ease. 

Show more 

### Analyst Rating Summary 

Overall Scores 

Based on the research and analysis by SelectHub's team of research analysts, Starburst does not yet have an analyst rating. By comparison to Starburst alternatives, Alteryx has an analyst rating of 86, Apache Pig does not yet have an analyst rating, Azure Synapse Analytics has an analyst rating of 78, and Gigasheet does not yet have an analyst rating. 

we're gathering data

Alteryx - Analyst Score: 86 out of 100 86 

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Azure Synapse Analytics - Analyst Score: 78 out of 100 78 

we're gathering data

Features Comparison 

**Augmented Analytics**  
Quickly understand what your data means and find hidden patterns using automated smart suggestions, so you can make faster, smarter decisions without being a statistics expert. 

we're gathering data

69 

we're gathering data

54 

we're gathering data

**Computer Vision and Internet of Things (IoT)**  
Monitor physical assets and equipment using cameras and connected sensors to automatically flag issues and predict maintenance needs before they cause problems. 

we're gathering data

54 

we're gathering data

63 

we're gathering data

**Dashboarding and Data Visualization**  
See all your crucial information at a glance with easy-to-read charts and graphs, helping you quickly spot trends and share what you've learned with others. 

we're gathering data

89 

we're gathering data

93 

we're gathering data

[Show More](#) [Show More](https://pmo.selecthub.com/customize-data/?category=Big Data Analytics Tools) 

Strengths 

The best features of Starburst, Alteryx, Apache Pig, Azure Synapse Analytics and Gigasheet as judged by user reviews and analyst validation. 

we're gathering data

Data Management

Integrations and Extensibility

Availability and Scalability

Geospatial Visualizations and Analysis

Machine Learning

we're gathering data

Availability and Scalability

Platform Security

Dashboarding and Data Visualization

Data Management

Integrations and Extensibility

we're gathering data

### Analyst Ratings for Functional Requirements [Customize This Data](#) [Customize This Data](https://pmo.selecthub.com/customize-data/?category=Big Data Analytics Tools) 

How all solutions compare against the top 10 functional requirements as defined by SelectHub project data. 

Starburst Alteryx Apache Pig Azure Synapse Analytics Gigasheet 

\+ Add Product [\+ Add Product](https://pmo.selecthub.com/customize-data/?category=Big Data Analytics Tools) 

Augmented Analytics Computer Vision AndInternet Of Things(IoT) Dashboarding And DataVisualization Data Management Data Preparation Geospatial Visualizations and Analysis Machine Learning Mobile Capabilities Platform Capabilities Reporting 69 54 89 100 96 93 0 86 54 63 93 93 78 75 0 57 0 25 50 75 100 

Implementation Level of Effort Estimation 

**Supported:**  
Fully / moderately supported out-of-the-box allowing for quick and easy deployment. 

**Not Supported:**  
Requires workarounds, add-ons, partner integrations or custom development with or without additional costs. 

[Read more](#) 

**Augmented Analytics**   
Quickly understand what your data means and find hidden patterns using automated smart suggestions, so you can make faster, smarter decisions without being a statistics expert. 

unsupported

42%

58%

unsupported

4%

96%

unsupported

**Computer Vision and Internet of Things (IoT)**   
Monitor physical assets and equipment using cameras and connected sensors to automatically flag issues and predict maintenance needs before they cause problems. 

unsupported

13%

87%

unsupported

13%

87%

unsupported

**Dashboarding and Data Visualization**   
See all your crucial information at a glance with easy-to-read charts and graphs, helping you quickly spot trends and share what you've learned with others. 

unsupported

88%

12%

unsupported

88%

12%

unsupported

**Data Management**   
Easily connect, clean up, and organize all your information from different sources, making sure you are always analyzing accurate and reliable data. 

unsupported

100%

unsupported

86%

14%

unsupported

**Data Preparation**   

unsupported

100%

unsupported

90%

10%

unsupported

**Geospatial Visualizations and Analysis**   
Plot your business data onto interactive maps to reveal location-based patterns, helping you understand where to focus your efforts for maximum impact. 

unsupported

86%

14%

unsupported

71%

29%

unsupported

**Machine Learning**   
Use predictive models to automatically forecast future outcomes and suggest actions, helping you anticipate customer needs or potential business problems. 

unsupported

87%

13%

unsupported

43%

57%

unsupported

**Mobile Capabilities**   
Access all your reports and insights securely on your phone or tablet, so you can monitor your business performance and make decisions from anywhere. 

unsupported

unsupported

unsupported

unsupported

unsupported

**Platform Capabilities**   
Refers to its built-in features and functionalities. Determine the tool's scope, versatility, and capacity to meet business needs, influencing its value and suitability. 

unsupported

100%

unsupported

100%

unsupported

**Reporting**   
Generate professional, customized documents of your key findings on a schedule, so you can easily keep stakeholders informed and track your progress over time. 

unsupported

86%

14%

unsupported

14%

86%

unsupported

### Analyst Ratings for Technical Requirements [Customize This Data](#) [Customize This Data](https://pmo.selecthub.com/customize-data/?category=Big Data Analytics Tools) 

Implementation Level of Effort Estimation 

**Supported:**  
Fully / moderately supported out-of-the-box allowing for quick and easy deployment. 

**Not Supported:**  
Requires workarounds, add-ons, partner integrations or custom development with or without additional costs. 

[Read more](#) 

**Availability and Scalability**   
Know your system will always be available and grow easily alongside your data needs, so you can handle massive changes in demand without slowdowns. 

unsupported

86%

14%

unsupported

100%

unsupported

**Integrations and Extensibility**   
Connect your data tool to all your existing business applications, enabling you to bring together information from every part of your organization seamlessly. 

unsupported

96%

4%

unsupported

89%

11%

unsupported

**Platform Security**   
Protect your sensitive information with advanced safety features and control who can see what data, ensuring only authorized people access critical business reports. 

unsupported

93%

7%

unsupported

100%

unsupported

**Analyst Message:**In effort to simplify your complex software decisions, this information is based on all industries and company sizes. We advise you to drill further into our data to discover how this information looks for your unique needs. 

[CUSTOMIZE THIS DATA ](#) [CUSTOMIZE NOW](https://pmo.selecthub.com/customize-data/?category=Big Data Analytics Tools) 

### User Sentiment Summary 

Starburst has a user sentiment rating of 87 based on 132 reviews. Alteryx has a user sentiment rating of 90 based on 496 reviews. Apache Pig has a user sentiment rating of 81 based on 43 reviews. Azure Synapse Analytics has a user sentiment rating of 83 based on 106 reviews. Gigasheet has a user sentiment rating of 98 based on 32 reviews. 

![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 132 reviews 

![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) 496 reviews 

![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 43 reviews 

![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 106 reviews 

![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) 32 reviews 

Synopsis 

Evaluating all review platforms, our market analysts have compiled the following user sentiment data. 

87% 

of users recommend this product

Starburst has a 'great' User Satisfaction Rating of 87% when considering 132 user reviews from 2 recognized software review sites. 

90% 

of users recommend this product

Alteryx has a 'excellent' User Satisfaction Rating of 90% when considering 496 user reviews from 4 recognized software review sites. 

81% 

of users recommend this product

Apache Pig has a 'great' User Satisfaction Rating of 81% when considering 43 user reviews from 2 recognized software review sites. 

83% 

of users recommend this product

Azure Synapse Analytics has a 'great' User Satisfaction Rating of 83% when considering 106 user reviews from 3 recognized software review sites. 

98% 

of users recommend this product

Gigasheet has a 'excellent' User Satisfaction Rating of 98% when considering 32 user reviews from 3 recognized software review sites. 

User Review Scores 

**G2.com, Inc** 

**4.3** (88) 

**4.5** (158) 

**3.9** (21) 

**4.5** (41) 

**4.9** (22) 

**Software Advice, Inc** 

n/a 

**4.7** (74) 

n/a 

n/a 

**4.9** (7) 

**Capterra Inc** 

n/a 

n/a 

n/a 

**4.3** (32) 

n/a 

**Gartner, Inc** 

**4.5** (44) 

**4.4** (56) 

n/a 

n/a 

**5.0** (3) 

**TrustRadius** 

n/a 

**4.5** (208) 

**4.2** (22) 

**3.6** (33) 

n/a 

### Awards 

SelectHub awards earned by these products based on a comprehensive analysis by our research analysts. 

No awards.

![User Favorite Award]()

![Integrations and Extensibility Award]()

No awards.

No awards.

![User Favorite Award]()

### Product Assistance 

Training Resources 

Documentation

In Person

Live Online

Videos

Webinars

Documentation

In Person

Live Online

Videos

Webinars

Documentation

In Person

Live Online

Videos

Webinars

Documentation

In Person

Live Online

Videos

Webinars

Documentation

In Person

Live Online

Videos

Webinars

Support 

Email

Phone

Chat

FAQ

Forum

Help Desk

Knowledge Base

Tickets

Training

24/7 Live Support

Email

Phone

Chat

FAQ

Forum

Help Desk

Knowledge Base

Tickets

Training

24/7 Live Support

Email

Phone

Chat

FAQ

Forum

Help Desk

Knowledge Base

Tickets

Training

24/7 Live Support

Email

Phone

Chat

FAQ

Forum

Help Desk

Knowledge Base

Tickets

Training

24/7 Live Support

Email

Phone

Chat

FAQ

Forum

Help Desk

Knowledge Base

Tickets

Training

24/7 Live Support

### Product Basics 

Company Size 

i 

Small

Medium

Large

Small

Medium

Large

Small

Medium

Large

Small

Medium

Large

Small

Medium

Large

Platforms Supported 

Windows

Mac

Linux

Android

Chromebook

Windows

Mac

Linux

Android

Chromebook

Windows

Mac

Linux

Android

Chromebook

Windows

Mac

Linux

Android

Chromebook

Windows

Mac

Linux

Android

Chromebook

Deployment Supported 

Cloud

On-Premise

Mobile

Cloud

On-Premise

Mobile

Cloud

On-Premise

Mobile

Cloud

On-Premise

Mobile

Cloud

On-Premise

Mobile

### Top Alternatives in Big Data Analytics Tools 

[  Alteryx ](https://www.selecthub.com/p/big-data-analytics-tools/alteryx/) [  Azure Synapse Analytics ](https://www.selecthub.com/p/big-data-analytics-tools/azure-synapse-analytics/) [  Dataiku ](https://www.selecthub.com/p/big-data-analytics-tools/dataiku/) [  H2O.ai ](https://www.selecthub.com/p/big-data-analytics-tools/h2o-ai/) [  IBM Watson Studio ](https://www.selecthub.com/p/big-data-analytics-tools/ibm-watson-studio/) [  KNIME ](https://www.selecthub.com/p/business-intelligence-tools/knime/) [  Looker Studio ](https://www.selecthub.com/p/data-visualization-tools/looker-studio/) [  Oracle Analytics Cloud ](https://www.selecthub.com/p/data-analytics-software/oracle-analytics-cloud/) [  Qlik Sense ](https://www.selecthub.com/p/business-intelligence-tools/qlik-sense/) [  RapidMiner ](https://www.selecthub.com/p/data-analytics-software/rapidminer/) [  SageMaker ](https://www.selecthub.com/p/big-data-analytics-tools/sagemaker/) [  SAP Analytics Cloud ](https://www.selecthub.com/p/business-intelligence-tools/sap-analytics-cloud/) [  SAS Viya ](https://www.selecthub.com/p/data-analytics-software/sas-viya/) [  Spotfire ](https://www.selecthub.com/p/data-visualization-tools/spotfire/) [  Tableau ](https://www.selecthub.com/p/business-intelligence-tools/tableau/) 

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**About SelectHub (and our data)** 

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**Supported:**  
Fully or moderately supported out-of-the-box with industry-leading capabilities and is immediately available after installation without needing any add-ons, integrations, or custom development. 

**Not Supported:**  
Not directly available in the software, but can be accomplished using other built-in features, workarounds, or add-ons/products from the vendor at an additional cost. At most, requires additional integrations, plugins, marketplace applications from a third-party vendor, or custom development using the APIs, libraries, extensions, and development framework supported by the software, with or without any additional cost. 

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