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Big Data 50 - Companies Driving Innovation in 2017

Built on NoSQL technology, the open source Couchbase Data Platform includes Couchbase Server and CouchbaseMobile, to provide agility and manageability as well as high performance at scale for rich and personalized customer experiences.

Founded out of the UC Berkeley AMPLab by the team that created Apache Spark, and venture-backed by Andreessen Horowitz, NEA, and others, Databricks provides an analytics platform for data science teams to collaborate with data engineering and lines of business to build data products.

Built on the architecture of Apache Cassandra, DataStax provides DataStax Enterprise (DSE), an always-on data platform used by more than 500 customers in 50-plus countries, and recently added DataStax Managed Cloud, a fully-managed service of the DSE data platform.

Dell EMC
Providing a foundation for businesses to transform IT through the creation of a hybrid cloud, and to evolve their enterprise through the development of cloud-native applications and big data solutions, Dell EMC, a part of Dell Technologies, helps organizations modernize, automate, and transform their data center using converged infrastructure, servers, storage, and data protection technologies.

Denodo Technologies
Data virtualization provider Denodo helps organizations connect disparate data from any source, define data transformations and combinations that meet business needs, and deliver data services in real-time to enterprise data-consuming platforms.

Providing a unified platform for enterprise data management that spans data modeling, enterprise architecture, business process, data governance, metadata management, and more, erwin helps customers transform the way they use data and how they operate for competitive advantage.

Used by Fortune 500 companies that span healthcare, intelligence agencies, life sciences, telecommunications, and research organizations, Franz provides AllegroGraph, a high-performance and transactional semantic graph database, and Allegro CL, a Lisp programming environment to create complex applications for solving real-world problems.

FranzBig Data Trailblazer by Jan Aasman, CEO

AllegroGraph—Semantic Graph Database for Knowledge Graphs

AllegroGraph is a database technology that enables businesses to extract sophisticated decision insights and predictive analytics from highly complex, distributed data that cannot be uncovered with conventional databases. Unlike traditional relational databases or other NoSQL databases, AllegroGraph employs semantic graph technologies that process data with contextual and conceptual intelligence. AllegroGraph is able run queries of unprecedented complexity to support predictive analytics that help organizations make more informed, real-time decisions.

Bloor Research recently positioned AllegroGraph as a “Champion” and highest ranked product in its class.

“AllegroGraph is the highest ranked product
in its class, and, thanks to Gruff, it was
rated as the easiest product to use.”
– Bloor Research

The foundation for Knowledge Graphs and AI lies in the facets of semantic technology provided by Allegro- Graph. Semantic Graph databases provide the core technology environment to enrich and contextualized the understanding of your data. The ability to rapidly integrate new knowledge is the crux of the Knowledge Graph and depends entirely on semantic technologies.

If you really want to develop your corporate Knowledge Graph and address complex Artificial Intelligence problems,
you need a data system that goes beyond just data. You have to create a system that can link to anything outside your own predefined parameters—and that can learn from previous experiences. That is where a Semantic Graph Database, like AllegroGraph, comes into the picture.

Franz, Inc.

HPE (Hewlett Packard Enterprise)
Enabling organizations of all sizes—from global enterprises to local startups—to transition from traditional technology platforms to the IT systems of the future, HPE is an enterprise information technology company with leading positions in servers, storage, wired and wireless networking, converged systems, software, services, and cloud.

Providing key real-time data integration capabilities in a single unified environment, HVR supports real-time replication and reliable, high-volume data synchronization between databases and file systems.

IBM (International Business Machines)
Continuing toward architecting a single cloud platform, global technology company IBM is expanding its network of cloud data centers to help clients build next-generation IoT, blockchain, and AI applications by providing cloud infrastructure that is tuned for cognitive and big data.

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