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October 12, 2016updated 13 Jan 2017 11:49am

5 big data companies you don’t know much about

The competitive big data market can be hard to navigate.

By James Nunns

Big data, aside from being an all encompassing buzzword that overly simplifies the breadth and scope of the market, it can also be an extremely difficult market to navigate for companies.

The area is filled with companies that look at data in numerous different ways, with many different tools and services available.

Away from the big data giants of Cloudera, Hortonworks, MapR, Teradata, SAS and numerous others, there are smaller companies that are offering more tailored services to fit particular business requirements.

CBR identifies five companies that you may not have heard a lot about.


Blue Yonder

Born out of CERN, not many companies can make that claim, but that’s the case for Blue Yonder.

The Germany based provider of big data analytics and predictive applications uses the same algorithm that was written for CERN analysis.

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The company founder Prof. Dr. Michael Feindt, founded the company after he realised that the algorithm could be made applicable to other areas such as commerce.

Not many companies can claim to have been born out of CERN.

Not many companies can claim to have been born out of CERN.

One of the key selling points of Blue Yonder is that it can be used in an as-a-Service model. This means that businesses don’t have to be tied to a platform, or hardware in order to get access to analytics services.

This has given the company growing access to the retail sector and to companies like EAT, which has been using it for ordering for its stores.


Accenture isn’t exactly a big data company, but if you go by revenues alone then according to Wikibon it is bringing in over $400 million from it.

The consultancy firm has made a big move to make sure that it is at the forefront of transformative technologies such as cloud, big data, and the Internet of Things.

The company has become well positioned to advise companies on how to successfully develop a big data strategy with services that help to modernise integrated data warehouses and information management.

It's clear that big data will have a profound impact across numerous areas.

It’s clear that big data will have a profound impact across numerous areas.

It offers services like Next Gen Business intelligence that is designed to help companies to access and share insights. Data Management Integration, to help protect data from unauthorised access, viewing, and modifications.

Data Discovery is another service that it offers, this is supported by a cloud-based platform that uses big data technologies and visualisation tools to help quickly discover data.


The 12 year old company was recently valued at around $20bn but it isn’t exactly a household name.

That’s because it typically deals with clients such as the U.S. government, and other big name deals in the finance and legal markets.

One of its biggest claims to fame is that it helped the U.S. government to track down Osama bin Laden, although this has never been confirmed or denied by the company.

Alex Karp, CEO of Palantir.

Alex Karp, CEO of Palantir.

The company is known for Palantir Gotham, and Palantir Metropolis products. Gotham is used by counter-terrorism analysts in the US Department of Defence, fraud

investigators at the Recovery Accountability and Transparency board, while Metropolis is used by hedge funds, banks, and financial services.

Gotham integrates structured and unstructured data and provides search and discovery capabilities in addition to knowledge management, and secure collaboration.

Metropolis is a piece of software for data integration, information management, and quantitative analytics.

Fuzzy Logix
Conventional vs In-Database analytics.

Conventional vs In-Database analytics.

Founded in 2007, this company develops high-performance analytics solutions for big data. Its main offering is a in-database analytics software called DB Lytix, and it also offers GPU-based analytics solutions that is said to have been built on a library of over

600 mathematical, statistical, simulation, data mining, time series, and financial models.

Fuzzy Logix says that it has built up a client base that include three of the top five US healthcare organisations.

The companies DB Lytix and Fin Lytix offerings are available on multiple database platforms in order to minimise the movement of the data and increase the speed at which analytics can be performed.


Founded in 2015, Panoply is working on developing the next generation of data warehouses.

The company is aiming to tap into the challenges posed by the fragmentation of data sources combined with the desire from businesses to become more data savvy.

Panoply wants to attract customers with a platform that is designed to support “low-touch” users who are looking for access to data in order to analyse it in tools such as Excel or Tableau.

Panoply recently raised $7m in its Series A funding round.

Panoply recently raised $7m in its Series A funding round.

Essentially the company wants to connect any data source to any insight tool with its technology that is built on top of Amazon Redshift, Elasticsearch and Hadoop.

The focus on the connectors for both ends is something that should be attractive to developers that have had difficulties connecting data to their analytics tool of choice.

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