[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: July 29th, 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 Azure Data Lake, Alteryx, Spark, and Exasol. 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 [![Azure Data Lake Software Tool](https://cdn.selecthub.com/products/2b8eba3cb0d0f1d761cb74d94a5ace36-8053ede33889e1076d2c6f8b362245b2/resources/normal/logo.png?1693316721)](https://www.selecthub.com/p/big-data-analytics-tools/azure-data-lake/) [ ![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 [![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 [![Spark Software Tool](https://cdn.selecthub.com/products/a6869a35be893ac2d85989c5cd605539-d1c393a41bfedc22220e8ff7dd1ed84b/resources/normal/logo.png?1693318076)](https://www.selecthub.com/p/big-data-analytics-tools/apache-spark/) 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 [![Exasol Software Tool](https://cdn.selecthub.com/products/327d369a1675bdfdfaefd41d501b3fac-6d6e68014f11dc6c9885dd207ba0135c/resources/normal/logo.png?1737430272)](https://www.selecthub.com/p/big-data-analytics-tools/exasol/) [ ![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=Azure%2BData%2BLake&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F2b8eba3cb0d0f1d761cb74d94a5ace36-8053ede33889e1076d2c6f8b362245b2%2Fresources%2Fnormal%2Flogo.png%3F1693316721) [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=Spark&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fa6869a35be893ac2d85989c5cd605539-d1c393a41bfedc22220e8ff7dd1ed84b%2Fresources%2Fnormal%2Flogo.png%3F1693318076) [Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Big+Data+Analytics+Tools&product%5Fname=Exasol&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F327d369a1675bdfdfaefd41d501b3fac-6d6e68014f11dc6c9885dd207ba0135c%2Fresources%2Fnormal%2Flogo.png%3F1737430272) ### 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 we're gathering data ](#analyst-rating-section) [ User Sentiment ![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) (79 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) (181 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) (71 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) $0.15/GB, Monthly Free Trial is unavailable → $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) Custom Quote i [Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=Spark&category=Big Data Analytics Tools&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/a6869a35be893ac2d85989c5cd605539-d1c393a41bfedc22220e8ff7dd1ed84b/resources/normal/logo.png?1693318076) Custom Quote i Free Trial is unavailable → Product Ranking ## #13 among all Big Data Analytics Tools ## #21 among all Big Data Analytics Tools ## #2 among all Big Data Analytics Tools ## #3 among all Big Data Analytics Tools ## #19 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=Exasol&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. * **Easy to Use:** Azure Data Lake Analytics is praised by user reviews for its intuitive design and user-friendly interface, making it easy for users to develop and run data processing programs without needing extensive technical expertise. * **Scalability:** Users highlight the platform's ability to effortlessly handle massive datasets, scaling resources up or down based on the demands of the task, making it suitable for organizations of all sizes. * **Cost-Effectiveness:** The service operates on a pay-per-use model, allowing businesses to only pay for the resources consumed, which optimizes spending and eliminates the need for upfront investments in infrastructure. * **Fast Performance:** User reviews consistently praise Azure Data Lake Analytics for its speed in processing large volumes of data, enabling businesses to gain insights from their data quickly. * **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. * **Blazing Fast Processing:** User reviews consistently highlight Spark's speed, particularly compared to Hadoop. Its in-memory processing allows for significantly faster data crunching, making it ideal for time-sensitive analytics. * **Easy to Use:** Spark is praised for its user-friendly APIs and support for popular languages like Python and Java. This accessibility makes it easier for data professionals to develop and deploy data pipelines. * **Handles Massive Datasets:** Spark is built to handle the huge datasets often encountered in modern analytics. Its distributed processing capabilities allow it to scale effectively and process petabytes of data. * **Fast Data Extraction and Loading:** User reviews highlight Exasol's in-memory database capabilities, enabling efficient data extraction and loading processes. * **High Performance:** Exasol receives praise for its speed and efficiency, especially for handling complex queries and large datasets, making it suitable for data-intensive industries. * **Ease of Use and Maintenance:** Users find Exasol easy to use and maintain, contributing to its appeal as a Big Data Analytics solution. * **Strong Customer Support:** Exasol is consistently commended for its excellent customer support, which is frequently cited as a significant advantage in user reviews. 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. * **Product Complexity:** User reviews indicate that Azure Data Lake can be complex to navigate, potentially posing challenges for users without sufficient technical expertise. * **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. * **Complex Joins Can Be Inefficient:** User reviews indicate that Spark may struggle with the efficiency of complex operations, particularly when multiple joins are involved. This can lead to performance bottlenecks and longer processing times, especially for intricate data transformations. * **Resource Intensive for Optimization:** While Spark is celebrated for its speed, users emphasize the need to invest significant time and resources into configuration to achieve optimal performance. This implies that effectively leveraging Spark's capabilities may require specialized expertise and effort. * **Limited Deployment Options:** User reviews don't mention deployment flexibility, which might be limited compared to competitors offering more cloud or hybrid options. ### 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 How do you measure the depth of Azure Data Lake? User reviews from the last year indicate that Azure Data Lake is a robust and scalable solution for big data analytics. Users praise its compatibility with the Hadoop ecosystem, making it a breeze to integrate with existing data lake architectures. Its cost-effectiveness, particularly its tiered storage options, is a major plus for organizations looking to optimize their cloud spending. The platform's granular security controls and ability to scale seamlessly to accommodate massive datasets make it a top choice for security-conscious businesses dealing with large and complex data landscapes. However, some users have pointed out that the data pipeline management and monitoring could be more efficient. Additionally, the platform's capabilities in handling streaming and event processing workloads have room for improvement. While Azure Data Lake excels in batch processing, its memory-intensive nature might pose challenges for real-time data ingestion and analysis. Overall, Azure Data Lake is an excellent choice for organizations seeking a secure, scalable, and cost-effective solution for storing, processing, and analyzing vast amounts of data. Its compatibility with Hadoop, granular security controls, and tiered storage options make it a compelling option for businesses of all sizes. However, organizations with demanding real-time processing needs might need to consider supplementary solutions to address the platform's limitations in handling streaming and event processing workloads. 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 Spark the data analytics equivalent of striking gold? User reviews suggest that it just might be. Spark is celebrated for its blazing-fast processing speeds, particularly when compared to traditional disk-based frameworks like Hadoop. This speed stems from Spark's clever use of in-memory processing, which essentially allows it to crunch numbers with the agility of a caffeinated cheetah. Users specifically praise Spark's performance in real-time analytics, making it a top contender for tasks like fraud detection and streaming data analysis from sources like IoT devices.However, this speed comes at a cost. Spark's reliance on in-memory processing can be a bit of a resource hog, demanding a hefty chunk of RAM, especially when dealing with massive datasets. This could potentially lead to higher operational costs, a factor to consider for budget-conscious users. Despite this trade-off, Spark's versatility as a unified platform for batch processing, machine learning, and even graph analytics makes it a compelling choice. Its compatibility with various programming languages further sweetens the deal, attracting a diverse pool of developers. Overall, Spark seems best suited for organizations prioritizing speed and real-time insights, even if it means shelling out a bit more for the privilege. Show more Is Exasol really as "exa-lent" as users say it is? User reviews from the last year indicate that Exasol is a high-performance database solution that excels in handling large datasets, making it a favorite among data analysts and business intelligence users. Its in-memory computing capabilities allow for lightning-fast data processing, enabling real-time insights and agile decision-making. Users particularly appreciate its ability to seamlessly integrate with reporting tools and data analytics applications, simplifying complex workflows and boosting overall productivity.One of Exasol's standout strengths is its exceptional speed, often surpassing traditional databases and even big data frameworks like Hadoop/Hive. This speed advantage is crucial for businesses that rely on real-time analytics, such as financial institutions tracking market trends or e-commerce platforms personalizing customer experiences. Moreover, Exasol's low maintenance requirements, stemming from its self-tuning and self-optimizing features, free up valuable time and resources for organizations to focus on deriving insights rather than managing infrastructure. This efficiency translates into a competitive cost-to-performance ratio, making it an attractive option for businesses of all sizes.However, some users have pointed out limitations in Exasol's custom role creation and security features, which could pose challenges for organizations with stringent access control needs. Additionally, while Exasol offers deployment flexibility across on-premises, cloud, and hybrid environments, its cloud-native capabilities have room for improvement, potentially impacting maintenance operations and integration with certain cloud-based tools. Overall, Exasol emerges as a powerful and efficient analytics database solution best suited for organizations dealing with large datasets and demanding real-time insights. Its speed, ease of use, and cost-effectiveness make it a compelling choice for data-driven businesses across industries, particularly those in finance, healthcare, and e-commerce, where timely and accurate data analysis is paramount. 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, Azure Data Lake does not yet have an analyst rating, Alteryx has an analyst rating of 86, Spark does not yet have an analyst rating, and Exasol does not yet have an analyst rating. we're gathering data we're gathering data Alteryx - Analyst Score: 86 out of 100 86 we're gathering data 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 we're gathering data 69 we're gathering data 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 we're gathering data 54 we're gathering data 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 we're gathering data 89 we're gathering data 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, Azure Data Lake, Alteryx, Spark and Exasol as judged by user reviews and analyst validation. we're gathering data we're gathering data Data Management Integrations and Extensibility Availability and Scalability Geospatial Visualizations and Analysis Machine Learning we're gathering data 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 Azure Data Lake Alteryx Spark Exasol \+ 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 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 unsupported 42% 58% unsupported 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 unsupported 13% 87% unsupported 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 unsupported 88% 12% unsupported 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 unsupported 100% unsupported unsupported **Data Preparation** unsupported unsupported 100% unsupported 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 unsupported 86% 14% unsupported unsupported **Machine Learning** Use predictive models to automatically forecast future outcomes and suggest actions, helping you anticipate customer needs or potential business problems. unsupported unsupported 87% 13% unsupported 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 unsupported 100% unsupported 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 unsupported 86% 14% unsupported 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 unsupported 86% 14% unsupported 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 unsupported 96% 4% unsupported 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 unsupported 93% 7% unsupported 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. Azure Data Lake has a user sentiment rating of 92 based on 79 reviews. Alteryx has a user sentiment rating of 90 based on 496 reviews. Spark has a user sentiment rating of 89 based on 181 reviews. Exasol has a user sentiment rating of 95 based on 71 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) 79 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) 181 reviews ![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) 71 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. 92% of users recommend this product Azure Data Lake has a 'excellent' User Satisfaction Rating of 92% when considering 79 user reviews from 4 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. 89% of users recommend this product Spark has a 'great' User Satisfaction Rating of 89% when considering 181 user reviews from 3 recognized software review sites. 95% of users recommend this product Exasol has a 'excellent' User Satisfaction Rating of 95% when considering 71 user reviews from 4 recognized software review sites. User Review Scores **G2.com, Inc** **4.3** (88) **4.5** (46) **4.5** (158) **4.2** (29) **4.7** (19) **Software Advice, Inc** n/a **4.4** (5) **4.7** (74) n/a n/a **Capterra Inc** n/a n/a n/a n/a **5.0** (1) **Gartner, Inc** **4.5** (44) **4.8** (10) **4.4** (56) **4.5** (18) **4.8** (48) **TrustRadius** n/a **4.8** (18) **4.5** (208) **4.5** (134) **4.5** (3) ### Awards SelectHub awards earned by these products based on a comprehensive analysis by our research analysts. No awards. ![User Favorite Award]() ![User Favorite Award]() ![Integrations and Extensibility Award]() 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 Knowledge Base 24/7 Live Support Email Phone Chat FAQ Forum Knowledge Base 24/7 Live Support Email Phone Chat FAQ Forum Knowledge Base 24/7 Live Support Email Phone Chat FAQ Forum Knowledge Base 24/7 Live Support Email Phone Chat FAQ Forum Knowledge Base 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/) ### Related Categories These products can also be found with other leading products in these categories: we're gathering data Show more we're gathering data Show more [Predictive Analytics Software ](https://www.selecthub.com/c/predictive-analytics-software/) Show more we're gathering data Show more [Data Warehouse Tools ](https://www.selecthub.com/c/data-warehouse-tools/) Show more ### Compare other software products using the 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Our market data is crowdsourced from our user-base of 100,000+ companies. WE DISTILL IT INTO REAL REQUIREMENTS, COMPARISON REPORTS, PRICE GUIDES and more... ![SelectHub Products Reporting and Analytics]() [Build Your Requirements](https://pmo.selecthub.com/big-data-requirements-onsite/) ![SelectHub Products Cost and Pricing Guide]() [Get Your Free Comparison Report](https://pmo.selecthub.com/request-custom-scorecard/?category=Big%20Data%20Analytics%20Tools) **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. [Close](#) ```json { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://www.selecthub.com/" }, { "@type": "ListItem", "position": 2, "name": "Big Data", "item": "https://www.selecthub.com/category/big-data-analytics/" }, { "@type": "ListItem", "position": 3, "name": "Big Data Analytics Tools", "item": "https://www.selecthub.com/c/big-data-analytics-tools/" }, { "@type": "ListItem", "position": 4, "name": "Starburst", "item": "https://www.selecthub.com/p/big-data-analytics-tools/starburst-data/" }, { "@type": "ListItem", "position": 5, "name": "Starburst Alternatives" } ] } ```