2021 CRN Big Data 100: 5 Database System Companies to Consider
The 2021 CRN Big Data 100 identifies vendors to be aware of. These database management system companies warrant special attention.
IT news and analysis outlet CRN recently released its 2021 (and ninth annual) Big Data 100, a ranking of prominent big data technology vendors that solution providers should be aware of. The list is made up of established and emerging big data tools vendors. The list is broken down into five distinct product categories that include business analytics, database systems, data management and data integration software, big data platforms, and data science and machine learning tools.
CRN pre-published a list of The Coolest Database System Companies included in the overall list via an interactive slideshow. Though the Big Data 100 is aimed at highlighting software vendors for the purposes of solution provider partnering, Solutions Review is most interesting in highlighting the vendors from that offer unique products and platforms for enterprise organizations. As such, we’ve read through CRN’s complete rankings, available here, to analyze the trending database system companies we think matter most. For an even deeper breakdown of database system software, tools, vendors and platforms, consult our popular Buyer’s Guide.
DataStax offers a distributed hybrid cloud database built on Apache Cassandra. The company’s flagship product is DataStax Enterprise, a solution that makes it easy for enterprise to exploit hybrid and multi-cloud environments via a data layer that eliminates complexity associated with deploying applications across multiple on-prem data centers or multiple public clouds. Its enterprise data layer eliminates data silos and cloud vendor lock-in and powers mission-critical applications.
Neo4j offers a graph database that helps organizations make sense of their data by revealing how people, processes and systems are related. Neo4j natively stores interconnected data so it’s easier to decipher data. The property graph model also makes it easier for organizations to evolve machine learning and AI models. The platform supports high-performance graph queries on large datasets as well.
Redis Labs is best known for its Redis Enterprise, a database product that takes advantage of modern in-memory technologies like NVMe and Persistent Memory to provide deployment over cloud and on-prem data centers. The solution features native data structures and a variety of data modeling techniques such as streams, graph, document and machine learning with a real-time search engine. Redis has also had considerable success entering strategic partnerships with vendors such as Pivotal and Red Hat.
SingleStore can ingest and transform millions of events per day while also analyzing billions of rows of data using standard SQL. It can be deployed on-prem, in the cloud via Amazon Web Services or Microsoft Azure, or as a service including drop-in compatibility with existing middleware, integration, and BI software. The tool offers excellent real-time data streaming capabilities, and now provides more efficient query isolation for large volumes of data and many users.
TigerGraph offers a graph database platform for enterprise applications. The product supports real-time deep link analytics for organizations with large data volumes. TigerGraph can be utilized for applications like IoT, AI, and machine learning to make sense of changing big data. The solution also provides personalized recommendations, fraud prevention, supply-chain logistics, and company knowledge graph.