5 database systems companies to consider
The CRN Big Data 100 2021 identifies the suppliers to know. These database management systems companies deserve special attention.
Information and computer analysis point CRN recently released its 2021 (and ninth annual) Big Data 100, a ranking of the top big data technology providers that solution providers need to know about. The list is made up of established and emerging big data tool vendors. The list is broken down into five distinct product categories that include business analytics, database systems, data management and integration software, big data platforms, and data science and intelligence tools. machine learning.
CRN has pre-published a list of The coolest database systems companies included in the global list via an interactive slideshow. While the Big Data 100 aims to highlight software vendors for the purpose of partnering with solution providers, Solutions Review is more interesting for highlighting vendors who offer unique products and platforms for business. . As such, we’ve read CRN’s full rankings, available here, to analyze trends in the database systems companies that we think matter most. For an even more in-depth analysis of the database system’s software, tools, vendors and platforms, see our 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 enables businesses to easily operate hybrid and multi-cloud environments through a data layer that eliminates the complexity associated with deploying applications across multiple on-premises or data centers. multiple public clouds. Its enterprise data layer eliminates data silos and cloud provider lockdowns 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 relate. Neo4j natively stores the interconnected data, so it is easier to decrypt the data. The property graph model also makes it easier for organizations to scale machine learning and AI models. The platform also supports high performance graphics queries on large data sets.
Redis Labs is best known for its Redis Enterprise, a database product that takes advantage of modern in-memory technologies such as NVMe and Persistent Memory to provide on-premises cloud and data center deployment. The solution offers native data structures and a variety of data modeling techniques such as streams, charts, documents and machine learning with a real-time search engine. Redis has also seen tremendous success in entering into strategic partnerships with vendors such as Pivotal and Red Hat.
SingleStore can ingest and transform millions of events per day while analyzing billions of rows of data using standard SQL. It can be deployed on-premises, in the cloud through Amazon Web Services or Microsoft Azure, or as a service including direct 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 business applications. The product supports real-time deep link analysis for organizations with large volumes of data. TigerGraph can be used for applications such as IoT, AI, and machine learning to make sense of the evolution of big data. The solution also provides personalized recommendations, fraud prevention, supply chain logistics and business insight graph.