12 database systems companies to consider

Information and computer analysis point CRN recently released its 2020 (and eighth 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 which 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 database management software, tools, vendors and platforms, see our Buyer’s Guide.

Sofa base

Couchbase offers Couchbase Server, an open source, multi-model, distributed NoSQL database package designed for interactive applications. Couchbase can be clustered from a single machine for very large deployments spanning many machines. The product also provides simple key-to-value access or access to JSON documents with low latency and high sustained throughput.

Data tax

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.


EnterpriseDB offers data management tools based on the open source PostgreSQL database. The vendor develops and integrates performance, security, and manageability enhancements into PostgreSQL to support enterprise workloads. EnterpriseDB has also developed database compatibility for Oracle to facilitate migrations of workloads from Oracle to EnterpriseDB. The Postgres database is available through subscription in two different options and includes tool suites, upgrades, support, and maintenance.


Exasol offers an in-memory analysis database that is among the fastest in the industry, according to the TPC-H industry benchmark for performance assessment. The product includes column compression and storage, as well as massively parallel processing. Its standard SQL interfaces provide easy compatibility with pre-existing applications and data structures. Exasol also supports Hadoop. Exasol is best suited for real-time reporting, analysis and advanced big data analytics.


InfluxData offers an open source time series database called InfluxDB. It is written in the Go programming language and optimized for high availability storage and time series data in areas such as operations monitoring, application metrics, IoT sensor data and real-time analysis. InfluxDB provides built-in time-centric functions to query a data structure made up of measures, series, and points, with each point made up of key-value pairs called a field set and timestamp.


MarkLogic offers an operational and transactional enterprise NoSQL database designed to integrate, store, manage and search data. Organizations can ingest structured and unstructured data with a flexible data model that adapts to changing data. It also natively stores JSON, XML, text, and geospatial data. MarkLogic’s Universal Index allows users to search through any data, and APIs enable application development and deployment. The database has ACID transactions, scalability and elasticity, as well as certified security.


MariaDB is an open source and commercially supported fork of the MySQL relational database management system. It was developed by the original creators of MySQL and transforms data into structured information in a wide range of applications. MariaDB offers a large ecosystem of storage engines, plugins, and many other tools. According to the official website, the latest version of MariaDB includes GIS and JSON functionality. The database is supported by Microsoft Azure and Amazon RDS (since 2015).


MemSQL offers a real-time data warehouse that continuously ingests data for analysis. The tool can ingest and transform millions of events per day while analyzing billions of rows of data using standard SQL. MemSQL 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. MemSQL is available in two editions: Developer (not for product deployments) and Enterprise.


MongoDB is a document-oriented, cross-platform database. It is classified as a NoSQL database program and uses JSON type documents with a schema. The software is developed by MongoDB and licensed under the Server Side Public License. Key features include ad hoc queries, real-time indexing and aggregation, and a document template that matches objects in your application code. MongoDB provides drivers for over 10 languages, and the community has built dozens more.


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 Laboratories

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.

Splicing machine

Splice Machine is an open source database management system powered by Hadoop and Spark. Key software features include ANSI SQL-99 coverage, ACID transactions with snapshot isolation semantics, in-place updates that go from rows to millions, and secondary indexing in unique forms. and not unique. One of the building blocks of Splice Machine is Apache HBase.

Read the 2020 CRN Big Data 100.

Timothy King
Latest articles by Timothy King (see everything)

Comments are closed.