Best Relational Database for SQL

Find and compare the best Relational Database for SQL in 2025

Use the comparison tool below to compare the top Relational Database for SQL on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Google Cloud SQL Reviews
    Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL and SQL Server. It includes rich extensions, configuration flags and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL PostgreSQL SQL Server databases. SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest. Private connectivity with Virtual Private Cloud, user-controlled network access and firewall protection. Compliant with SSAE 16 ISO 27001 PCI DSS and HIPAA. Scale your database instances with a single API request, whether you are just testing or need a highly-available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes.
  • 2
    MySQL Reviews
    MySQL is the most widely used open-source database in the world. MySQL is the most popular open source database for web-based applications. It has been proven to be reliable, performant, and easy-to-use. This database is used by many high-profile web properties, including Facebook, Twitter and YouTube. It is also a popular choice for embedded databases, distributed by thousands ISVs and OEMs.
  • 3
    SQL Server Reviews
    Microsoft SQL Server 2019 includes intelligence and security. You get more without paying extra, as well as best-in-class performance for your on-premises requirements. You can easily migrate to the cloud without having to change any code. Azure makes it easier to gain insights and make better predictions. You can use the technology you choose, including open-source, and Microsoft's innovations to help you develop. Integrate data into your apps easily and access a rich set cognitive services to build human-like intelligence on any data scale. AI is built into the data platform, so you can get insights faster from all of your data, both on-premises or in the cloud. To build an intelligence-driven company, combine your enterprise data with the world's data. You can build your apps anywhere with a flexible platform that offers a consistent experience across platforms.
  • 4
    SSuite MonoBase Database Reviews

    SSuite MonoBase Database

    SSuite Office Software

    Free
    You can create flat or relational databases with unlimited fields, tables, and rows. A custom report builder is included. Create custom reports by connecting to compatible ODBC databases. You can create your own databases. Here are some highlights: Filter tables instantly - Ultra simple graphical-user-interface - One-click table and data form creation - You can open up to 5 databases simultaneously Export your data to comma-separated files - Create custom reports to all your databases - A complete helpfile for creating database reports - You can print tables and queries directly from your data grid - Supports any SQL standard your ODBC compatible databases require For best performance and user experience, please install and run this database app with full administrator rights. Requirements: . 1024x768 Display Size . Windows 98 / XP / Windows 8 / Windows 10 - 32bit or 64bit No Java or DotNet are required. Green Energy Software. One step at a time, saving the planet
  • 5
    Apache Phoenix Reviews

    Apache Phoenix

    Apache Software Foundation

    Free
    Apache Phoenix combines the best of both worlds to enable OLTP and operational analysis in Hadoop. This allows for low-latency Hadoop applications. HBase is used as the backing store for Apache Phoenix, which combines the power of SQL and JDBC with ACID transaction support and flexibility of late bound, schema-on read capabilities from the NoSQL realm. Apache Phoenix is fully compatible with other Hadoop tools such as Spark and Hive. It also integrates with Pig, Flume and Map Reduce. Become the trusted Hadoop data platform for OLTP, operational analytics and Hadoop via well-defined APIs. Apache Phoenix compiles your SQL query into a series HBase scans and orchestrates their running to produce regular JDBC results sets. Direct use of HBase API along with coprocessors, custom filters and other tools results in performance of milliseconds or seconds for small queries.
  • 6
    XTDB Reviews
    XTDB, an immutable SQL-based database, is designed to simplify the development of applications and ensure data compliance. It preserves data history automatically, allowing for comprehensive time-travel queries. SQL commands allow users to perform audits and as-of queries. XTDB has been trusted by many companies to transform dynamic applications. It is simple to get started via HTTP, plain SQL or various programming languages. All you need is a client driver, or Curl. Users can easily insert data immutably and query it across time. They can also execute complex joins. Bitemporal modeling is directly beneficial to risk systems. Valid time can be utilized to correlate out-of order trade data while making compliance easy. When things are constantly changing, it can be difficult to expose data across an entire organization. XTDB simplifies the exchange of data and can be used to perform advanced temporal analyses. To model future changes in pricing, tax and discounts, extensive temporal queries are required.
  • 7
    Presto Reviews

    Presto

    Presto Foundation

    Presto is an open-source distributed SQL query engine that allows interactive analytic queries against any data source, from gigabytes up to petabytes.
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