30 Big Data Companies Leading the Way: Page 2

These big data companies are the leaders as firms of all sizes move into Big Data.
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16. Tamr

Tamr is very new startup that offers a product that gathers data from the company's databases and uses machine intelligence to provide a single view across all of the systems. Tamr is like a search indexing tool, in that it gathers all of the data fields and provides a report on all of the data sources that a human then evaluates.

17. Neo Technology

This company makes a NoSQL graph database. Not a graphics database, a graph one, such as a flow chart of a company's executive structure. A graph database contains information about how each entry is related to other entries. So unlike standard databases, this shows the relationship one item has to another.

18. DataStax

Does its own special version of the Apache Cassandra database, providing a massively scalable enterprise NoSQL platform for mission-critical business applications. It is fully distributed and always available to provide real-time scalable analytics.

19. Infobright

Infobright’s Knowledge Grid architecture is a standard RDBMS with a focus in machine-generated data that is particularly geared to support the Internet of Things with a high performance analytic database. It rapidly analyzes machine-generated data, enabling applications to perform complex queries.

20. Fractal Analytics

This Indian company uses data analytics to help companies better understand, predict and influence consumer behavior. The analytics allows companies to identify new market opportunities as they emerge so they can be first to market. Its products help retailers, packaged goods companies, insurance firms and other consumer-facing firms to understand, predict and shape consumer behavior and improve the effectiveness of marketing, pricing and supply chain management.

21. Metric Insights

A rare push platform, it provides to users within a firm the data they need. The platform alerts the user when and why key business metrics have changed. It draws on data from a variety of business intelligence, SaaS, big data and data visualization tools used by the customer to give a personalized report and keep the user up to date as data changes.

22. Informatica

The long-time analytics firm founded by an ex-Oracle VP has moved into Big Data as well with five products: PowerCenter Big Data Edition, which allows developers to integrate almost any type of data at any scale without having to learn Hadoop; HParser, a codeless data parsing transformation environment; Data Quality Big Data Edition, which delivers data of any type and volume using pre-built data quality rules processed natively on Hadoop; Vibe Data Stream for Machine Data, which provides highly available, reliable, real-time streaming data collection for Big Data analytics; and Data Masking, which delivers policy-based data security for applications running on Hadoop and other Big Data platforms.

23. Syntasa

Offers what it calls Analytics as a Service for the online retail-marketing sector. Built on Hadoop, Synasta does real-time ingestion of data, algorithm execution and output to dramatically change the speed and understanding of the business decision process. This helps retailers quickly customize the power and speed of a product offering, driving consumer awareness, acquisition and retention.

24. Chartio

Chartio supports a myriad of data sources, including MySQL, PostgresSQL, Amazon Web Services, Amazon Relational Database Services, Rackspace Cloud, Heroku, Google Analytics and Oracle, and offers users a simple dashboard to visualize their data. It's on both PCs and tablets. It has a variety of filters and sliders to manipulate the data in real time.

25. Thoughtworks

A software delivery and developer company, Thoughtworks incorporated Agile software development principals into what it calls Agile Analytics, a style of building a data warehouse, data marts, business intelligence applications, and analytics applications that focuses on the early and continuous delivery of business value throughout the development lifecycle.

26. Platfora

Platfora works with Hadoop clusters, including Cloudera, MapR, and Amazon EMR, to turn huge amounts of data into dimensional and predictive dashboards, reports and insights. The company’s server architecture enables immediate delivery, analytics overlay, and the option to drill down into specific areas.

27. YarcData

A part of supercomputer maker Cray, YarcData makes a Big Data appliance called Urika, which can be purchased or rented from Cray. They perform graphical searches across disparate data sets and optimize the findings for real-time queries to find the relationships, identify the patterns, and uncover the linkages hiding within it.

28. SiSense

SiSense sells its Prism to the largest enterprises and some SMBs alike because of its small ElastiCube product, a high-performance analytical database tuned specifically for real-time analytics. ElastiCubes are super-fast data stores which are specifically designed for extensive querying. They are positioned as a cheaper alternative to HP's Vertica systems.

29. ZettaSet

Hadoop and many other Big Data applications are open source, and as is so often the case in new markets, the rush is for features and security tends to come later. ZettaSet Orchestrator makes Hadoop more secure and hardened for enterprise-level performance and analytics through real-time encryption, even when data is being moved.

30. ClearStory Data

ClearStory Data offers a scalable application for data discovery and analysis across many sources and is specifically geared toward tracking and analyzing activity across the customer life cycle. The platform uses an in-memory database to process multiple types of data on the fly and then combine the info with a modern user interface.

Photo courtesy of Shutterstock.


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Tags: big data, big data analytics


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