10 Database Management Vendors We Follow

Our coverage of the 2020 DBTA 100 includes 15 database management vendors that our editors track. For a longer list, see our directory of data management solutions.

Database Trends and Applications recently published its DBTA 100 2020, an annual list of data, information management, big data and data science companies gearing up for the future. The list covers the spectrum of “well-established and cutting-edge” solution providers offering data platforms, tools and technologies to organizations around the world. Some of the vendor entries are posted alongside View from the top articles written by the leaders of the companies themselves.

The editors of Solutions Review combed through the DBTA 100 2020 with a fine-toothed comb to identify the top database management vendors. Think of it as an overview of the solution providers we follow in our daily market coverage. You will even find some of these company names below in our freshly pressed article. Data Management Platform Buyer’s Guide.

sofa base

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


DataStax offers a distributed hybrid cloud database based on Apache Cassandra. The company’s flagship product is DataStax Enterprise, a solution that enables enterprises 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. several public clouds. Its enterprise data layer eliminates data silos and cloud provider lock-in 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 in PostgreSQL to support enterprise workloads. EnterpriseDB has also developed database compatibility for Oracle to facilitate workload migrations from Oracle to EnterpriseDB. Postgres Database is available by subscription in two different options and includes tool suites, upgrades, support and maintenance.


Dremio offers a product called Data Lake Engine which provides fast query speed and a self-service semantic layer that works directly on the data lake storage. The solution connects to S3, ADLS, Hadoop or wherever corporate data resides. Apache Arrow, Data Reflections, and other Dremio technologies work together to accelerate query speed, and the semantic layer enables IT to apply security and business acumen. Users do not need to send data to Dremio or store it in proprietary formats to access it.


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, Internet of Things sensor data, and software. real-time analysis. InfluxDB offers built-in time-centric functions to query a data structure consisting of metrics, series, and points, with each point consisting of key-value pairs called a field set and timestamp.


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 an extensive 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).


MongoDB is a cross-platform, document-oriented database. It is classified as a NoSQL database program and uses JSON type documents with 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 model that maps to objects in your application code. MongoDB provides drivers for over 10 languages, and the community has created dozens more.

Redis Labs

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 cloud deployment and on-premises data centers. The solution includes native data structures and a variety of data modeling techniques such as streams, graphs, documents, and machine learning with a real-time search engine. Redis has also had considerable 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 scale from one row to millions, and secondary indexing in unique and non-unique forms. One of the building blocks of Splice Machine is Apache HBase.


TigerGraph offers a graph database platform for enterprise 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 knowledge graph.

See the full DBTA 100 2020 list.

Timothy King
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