Apache Hadoop is an open source framework for dealing with large quantities of data. It’s considered a landmark group of products in the business intelligence and data analytics space, and is comprised of several different components. It functions on basic analytics principles like distributed computing, large data processing, machine learning and more. Hadoop is part of a growing family of free, open source software (FOSS) projects from the Apache Foundation, and works well in conjunction with other third-party products.
Domo is a cloud-based business management suite that accelerates digital transformation for businesses of all sizes. It performs both micro and macro-level analysis to provide teams with in-depth insight into their business metrics as well as solve problems smarter and faster. It presents these analyses in interactive visualizations to make patterns obvious to users, facilitating the discovery of actionable insights. Through shared key performance indicators, users can overcome team silos and work together across departments.
Cloudera is a multi-environment analytics platform powered by integrated open source technologies that help users glean actionable business insights from their data, wherever it lives. With an enterprise data cloud, it puts data management at analysts’ fingertips, with the scalability and elasticity to manage any workload. It offers users transparency into the whole data lifecycle and the flexibility of customization through its open architecture. It is available on an annual subscription basis with three offerings: CDP Data Center, Enterprise Data Hub and HDP Enterprise Plus. Each edition offers different components and pricing varies based on computing power, storage space and number of nodes. The company merged with Hortonworks in 2019 to provide a comprehensive, end-to-end hybrid and multi-cloud offering.
Hortonworks Data Platform is an open-source data analysis and collection product from Hortonworks. It is designed to meet the needs of small, medium and large enterprises that are trying to take advantage of big data. The company was acquired by Cloudera in 2019 for $5.2 billion.HDP has a number of features that help it process large enterprise-level volumes, including multi-workload processing, batch processing, real-time processing, governance and more.
HP Vertica is an analytics and data exploration platform that is designed to ingest massive quantities of data; parse it; and then return insights, reports, and interactive graphics.It is built to be deployed in the cloud or on-premise, and takes advantage of a number of unique features that help it stand out from its competitors. A serverless setup and advanced data trawling techniques help users store and access their data with ease.
Kapow Katalyst provides an agile and practical way to deliver big data integration and process automation. Catering to the needs of both IT and the line-of-business (LOB), Katalyst is a secure platform that enables you to extract web data, integrate applications or automate web-based manual business processes in just a few days - if not a few hours. Katalyst enables you to publish a Synthetic API to any web application or web portal, even when no API exists.
AgilOne is a data exploration and analysis product that is built from the ground up to handle vast quantities of data from a variety of sources. Utilizing machine learning, self-service BI, built-in calculations and more, it’s able to parse, prepare and analyze massive amounts of information. It’s ideal for small to medium-sized businesses.
Microsoft Machine Learning Server is an AI-enabled enterprise intelligence solution with big data capabilities. With full R and Python support, it produces predictive and retrospective analytics, with the ability to score structured and unstructured data. It is fully machine learning enabled, with options to train or use prebuilt trained models. It integrates with major open-source resources and other Microsoft entities like Azure. Its web service publishing and operationalization features streamline putting insights to work.
Insight from Big Data is essential to business today. Predictive analytics of high volumes of data can make the difference between a profit or a loss, save lives, or predict the weather. Pivotal Greenplum® Database is a purpose-built, dedicated analytic data warehouse designed to extract value from your data.
StreamAnalytix is industry's only multi-engine, enterprise-grade, Open Source based platform. With support for Apache Storm and Spark Streaming, StreamAnalytix is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.
Panorama Necto 16 is leading a revolution in the BI world by providing users with automated insights. It is the first and only business intelligence solution that provides business users with automated insights on 100% of their data. Necto 16 provides users with a smart, personalized and collaborative data discovery experience, presented via highly visual and dynamic infographics. It will give you the ability to connect data, insights, and people across your entire organization.Today organizations analyze and benefit from only 10% of their data, while 90% remains unexplored. Most solutions in the market give users answers to their questions, which are based on the 10% of data that they know how to analyze. Necto takes it a step further and gives the users insights on questions they don’t have yet. By using patented algorithms, it pushes automated insights on one hundred percent of users’ data.
We have got agile easy to use BI for true business users. Discover data. Get the insights. Share, comment, filter KPIs or time-series. Improve customer services and become metrics driven with ready-made customizable analytics apps.
Heat Map Explorer’s desktop editions are standalone Windows applications that enable you to visually analyze business data using intuitive “heat maps”. Heat maps use color and size to rapidly communicate complex information that is nearly impossible to see on a spreadsheet.
IBM InfoSphere Data Explorer is software that provides federated discovery, navigation and search over a broad range of sources and types, both inside and outside your enterprise, to help users of all kinds find and share information more easily and to help organizations launch big data initiatives more quickly. In addition to the core indexing, discovery, navigation and search engine the software includes a framework for developing information- rich applications that deliver a comprehensive, contextually- relevant view of any topic for business users, data scientists and a variety of targeted business functions.
SAP HANA Platform's in-memory database technology, is a computer appliance which can operate as a platform for big data analytics and is considered by many to be a premier technology for high speed computing. It helps accelerate processing across flexible management options to support hot, warm, and cold data.
IBM® zEnterprise® Analytics System 9710 provides an integrated data warehouse management platform at an entry-level price. Built on the IBM zEnterprise Business Class platform, the solution can deliver business reporting and analytics with a quality of service equivalent to your online transactional processing (OLTP) environment.
OpenROAD is a rapid application development and flexible deployment solution. With OpenROAD, developers can quickly build and deploy sophisticated high performance and high availability business applications on a variety of platforms, accessing a broad range of data sources
By unifying data and analytics on its platform, 1010data completely changes the analytic process – now even business users can perform analysis on data in the same place as it is stored. Use more information to make better business decisions.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse solution that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. You can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.
Attunity CloudBeam is designed for information-driven organizations who want to streamline the migration and incremental loading of Big Data across Amazon Web Services and Microsoft Azure cloud infractures. Attunity CloudBeam speeds data transfer rates and simplifies process management -- resulting in quantifiable operational improvements and information availability. Using Attunity CloudBeam, organizations are rapidly moving data projects to the cloud and accelerating the adoption of hybid cloud strategies.
The Kognitio Analytical Platform is a scale-out in-memory, Massively Parallel Processing (MPP) not-only-SQL software technology that is optimized for low-latency data load and high-throughput complex analytical workloads.
MarkLogic is the only Enterprise NoSQL database. It is a new generation database that is built with a flexible data model to store, manage, and search today’s data, without sacrificing any of the data resiliency and consistency features of last-generation relational databases. With these capabilities, MarkLogic is ideally suited for making heterogeneous data integration simpler and faster and for doing dynamic content delivery at massive scale.
Zettaset Orchestrator automates the installation and management of Hadoop. Earlier this year at the RSA conference Zettaset outlined an initiative (under the wonderful name "SHadoop" for Secure Hadoop) to address security gaps and vulnerabilities that the company said exists in all distributions of the open-source Apache Hadoop
DynamoDB is a fast, fully managed NoSQL database as a service that makes it simple and cost-effective to store and retrieve any amount of data, and serve any level of request traffic. Its reliable throughput and single-digit millisecond latency make it a great fit for gaming, ad tech, mobile and many other applications.
EDMT® Solution is the solution for real-time, high-speed ingest of large volumes of structured and unstructured data (EDMT stands for Emails, Documents, Multimedia and database Transactions) into single repository for purpose of archiving, retention and analysis.
For today's most demanding big data applications, DataStax Enterprise provides a massively scalable database platform that is continuously available, incredibly fast, secure, efficient and very economical to run whether on premise, in the cloud or across multiple datacenters. And it's the only solution that magnifies the benefits you can gain from big data by enabling you to run real-time workloads, analytics and search on the same database at the same time
Amazon Kinesis is a fully managed, cloud-based service for real-time data processing over large, distributed data streams. Amazon Kinesis can continuously capture and store terabytes of data per hour from hundreds of thousands of sources such as website clickstreams, financial transactions, social media feeds, IT logs, and location-tracking events.
Go from raw data to new insights. Store all data—structured, unstructured, and streaming, from inside and outside your organization. Empower business users to gain deep insights using familiar tools, such as Excel or Office 365, so they can make better decisions, faster.
The MapR Distribution including Apache Hadoop provides you with an enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data. Whether you are new to Hadoop or ready to go into production, the MapR Distribution gives you the best foundation for running batch, interactive, and real-time applications. With its open choice approach to open source, MapR gives you a broad range of technologies—multiple projects for SQL-on-Hadoop, NoSQL databases, execution engines such as Spark, etc.—to choose from, so you can use the right tool for your needs.
Pivotal Big Data Suite provides a broad foundation for agile data. It can be deployed as part of Pivotal Cloud Foundry® and PaaS technologies, on-premise and in public clouds, in virtualized environments, on commodity hardware or delivered as an appliance and Pivotal Big Data Suite portfolio is compatible with distributions of Open Data Platform (ODP) versions of Hadoop. All components are distributions of open source projects or are in the process of becoming open source projects.
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