Best SQL Databases for Kubernetes
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Compare the Top SQL Databases that integrate with Kubernetes as of June 2025
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This a list of SQL Databases that integrate with Kubernetes. Use the filters on the left to add additional filters for products that have integrations with Kubernetes. View the products that work with Kubernetes in the table below.
What are SQL Databases for Kubernetes?
SQL databases are structured systems that use the Structured Query Language (SQL) to store, retrieve, and manage data. They organize data into tables with rows and columns, ensuring that information is easily accessible, consistent, and scalable. SQL databases are widely used in applications that require complex queries, transactions, and data integrity, making them essential for web applications, financial systems, and enterprise environments. These databases offer robust features for security, data normalization, and maintaining relationships between different datasets. Overall, SQL databases are fundamental to managing relational data efficiently and reliably across various industries. Compare and read user reviews of the best SQL Databases for Kubernetes currently available using the table below. This list is updated regularly.
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SingleStore
SingleStore
SingleStore (formerly MemSQL) is a distributed, highly-scalable SQL database that can run anywhere. We deliver maximum performance for transactional and analytical workloads with familiar relational models. SingleStore is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per second with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, geospatial, and full-text search formats. SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines. SingleStore lets you achieve ultra fast query response across both live and historical data using familiar ANSI SQL. Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time.Starting Price: $0.69 per hour -
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Tarantool
Tarantool
Corporations need a way to ensure uninterrupted operation of their systems, high speed of data processing, and reliability of storage. The in-memory technologies have proven themselves well in solving these problems. For more than 10 years, Tarantool has been helping companies all over the world build smart caches, data marts, and golden client profiles while saving server capacity. Reduce the cost of storing credentials compared to siloed solutions and improve the service and security of client applications. Reduce data management costs of maintaining a large number of disparate systems that store customer identities. Increase sales by improving the speed and quality of customer recommendations for goods or services through the analysis of user behavior and user data. Improve mobile and web channel service by accelerating frontends to reduce user outflow. IT systems of large organizations operate in a closed loop of a local network, where data circulates unprotected. -
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Actian Ingres
Actian
Ultra-reliable SQL-standard transactional database with X100 operational analytics. Actian Ingres has long been known as an ultra-reliable enterprise transactional database. Today Actian Ingres is a hybrid transactional/analytical processing database with record-breaking performance. Ingres supports both row-based and columnar storage formats using its ultra-reliable enterprise transactional database, and Vector’s X100 analytics engine. This combination allows organizations to perform transaction processing and operational analytics easily and efficiently within a single database. The most trusted and time-tested transactional database with a low total cost of ownership, 24/7 global support, and industry-leading customer satisfaction. It has a proven track record, with thousands of enterprises running billions of transactions over decades of deployment, upgrades, and migrations.
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