Compare the Top Relational Database for Cloud as of October 2026

What is Relational Database for Cloud?

Relational database software provides users with the tools to capture, store, search, retrieve and manage information in data points related to one another. Compare and read user reviews of the best Relational Database for Cloud currently available using the table below. This list is updated regularly.

  • 1
    Airtable

    Airtable

    Airtable

    Airtable is an AI-powered workflow platform that helps teams unify data, build apps, automate processes, and collaborate in one connected workspace. The platform enables users to create production-ready applications with no-code components and conversational AI app building. Airtable agents can work across large sets of records, reason over operational data, and orchestrate actions across workflows. The platform supports teams in product, marketing, project management, operations, sales, design, and creative work. Enterprise capabilities include scalable infrastructure, advanced permissions, RBAC, AI controls, provisioning, audit logs, data loss prevention, e-discovery, and data residency. Built for organizations of all sizes, Airtable helps teams connect workflows, embed AI into operations, and build business applications faster.
    Leader badge
    Starting Price: $20/user/month
  • 2
    MySQL

    MySQL

    Oracle

    MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.
    Starting Price: Free
  • 3
    SAP Adaptive Server Enterprise (ASE)
    Modernize and accelerate your transaction-based applications on premise and in the cloud with SAP Adaptive Server Enterprise (SAP ASE). This high-performance SQL database server uses a relational management model to meet rising demand for performance, reliability, and efficiency in every industry. Simplify operations and reduce costs with workload analyzer and workload profiler features for built-in high availability, disaster recovery, and resource optimization. Scale transactions, data, and users and improve performance with added technology options, such as MemScale and XOLTP. Discover how reducing overhead on production databases enables Q-Free employees to focus on innovation and value-adding work. Deploy on-premise and on infrastructure as a service (IaaS) Deliver high performance and availability to process mission-critical transactions.
  • 4
    IBM Cloud SQL Query
    Serverless, interactive querying for analyzing data in IBM Cloud Object Storage. Query your data directly where it is stored, there's no ETL, no databases, and no infrastructure to manage. IBM Cloud SQL Query uses Apache Spark, an open-source, fast, extensible, in-memory data processing engine optimized for low latency and ad hoc analysis of data. No ETL or schema definition needed to enable SQL queries. Analyze data where it sits in IBM Cloud Object Storage using our query editor and REST API. Run as many queries as you need; with pay-per-query pricing, you pay only for the data scan. Compress or partition data to drive savings and performance. IBM Cloud SQL Query is highly available and executes queries using compute resources across multiple facilities. IBM Cloud SQL Query supports a variety of data formats such as CSV, JSON and Parquet, and allows for standard ANSI SQL.
    Starting Price: $5.00/Terabyte-Month
  • 5
    Firebird

    Firebird

    Firebird Foundation

    Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981. The Firebird Project is a commercially independent project of C and C++ programmers, technical advisors and supporters developing and enhancing a multi-platform relational database management system based on the source code released by Inprise Corp (now known as Borland Software Corp) on 25 July, 2000. The Firebird Project supplies users, developers, and administrators with various kinds of documentation, from Quick Start guides to expert-level articles devoted to various aspects of Firebird.
  • 6
    IBM Informix
    IBM Informix® is a fast and flexible database with the ability to seamlessly integrate SQL, NoSQL/JSON, and time series and spatial data. Its versatility and ease of use make Informix a preferred solution for a wide range of environments, from enterprise data warehouses to individual application development. Also, with its small footprint and self-managing capabilities, Informix is well suited for embedded data-management solutions. IoT data demands robust processing and integration capabilities. Informix offers a hybrid database system with minimal administrative requirements and memory footprint combined with powerful functionality. Key features make Informix ideal for multi-tiered architectures that require processing at the device level, at gateway layers and in the cloud. Native encryption to protect data at rest and in motion. Support for flexible schema, multiple APIs and configurations.
  • 7
    SAP HANA
    SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organizations, for quick decision-making, on premise and in the cloud. Innovate without boundaries on a database management system, where you can develop intelligent and live solutions for quick decision-making on a single data copy. And with advanced analytics, you can support next-generation transactional processing. Build data solutions with cloud-native scalability, speed, and performance. With the SAP HANA Cloud database, you can gain trusted, business-ready information from a single solution, while enabling security, privacy, and anonymization with proven enterprise reliability. An intelligent enterprise runs on insight from data – and more than ever, this insight must be delivered in real time.
  • 8
    Infobright DB

    Infobright DB

    IgniteTech

    Infobright DB is a high-performance enterprise database leveraging a columnar storage engine to enable business analysts to dissect data efficiently and more quickly obtain reports. InfoBright DB can be deployed on-premise or in the cloud. Store & analyze big data for interactive business intelligence and complex queries. Improve query performance, reduce storage cost and increase overall efficiency in business analytics and reporting. Easily store up to several hundred TB of data — traditionally not achievable with conventional databases. Run big data applications and eliminate indexing and partitioning — with zero administrative overhead. With the volumes of machine data exploding, IgniteTech’s Infobright DB is specifically designed to achieve high performance for large volumes of machine-generated data. Manage a complex ad hoc analytic environments without the database administration required by other products.
  • 9
    Broadcom IDMS
    Broadcom IDMS™ is a high-performance and scalable mainframe relational database management system designed to support mission-critical enterprise workloads. The platform has been trusted by organizations for more than 40 years to deliver reliable and secure database processing across industries such as finance, healthcare, manufacturing, and government. IDMS enables businesses to modernize operations by supporting open access and automated API generation for cloud, mobile, web, and modern mainframe applications. The solution is built to leverage the latest hardware and software technologies, helping teams efficiently build, maintain, and manage enterprise applications. IDMS provides strong scalability and cost-effective performance to handle growing business demands without compromising reliability. By combining modernization capabilities with enterprise-grade database management, Broadcom helps organizations maximize the long-term value of their mainframe investments.
  • 10
    Altibase

    Altibase

    Altibase

    Altibase is an enterprise-grade, high-performance and relational open source database. A single database that delivers high-intensity data processing through an in-memory database portion and large storage capacity through an on-disk database portion. 10 times faster than conventional on-disk databases. Clients have consistently chosen Altibase over Oracle, IBM, Microsoft, and others. Altibase has replaced many traditional on-disk databases in various industries that require real time solutions since 1999. Altibase now has over 650 global enterprise clients including 8 Fortune Global 500 companies with thousands of mission-critical deployments worldwide. Product maturity rich with function and feature. Altibase is open source which includes its cutting-edge scale-out technology, sharding. No license costs with flexible and competitive subscription fees. 20 years’ accumulated know-how of dealing with over 6,000 mission-critical use cases.
  • 11
    HEAVY.AI

    HEAVY.AI

    HEAVY.AI

    HEAVY.AI is the pioneer in accelerated analytics. The HEAVY.AI platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. Harnessing the massive parallelism of modern CPU and GPU hardware, the platform is available in the cloud and on-premise. HEAVY.AI originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Expand beyond the limitations of traditional BI and GIS by leveraging the full power of modern GPU and CPU hardware so you can extract decision-quality information from your massive datasets without lag. Unify and explore your largest geospatial and time-series datasets to get the complete picture of the what, when, and where. Combine interactive visual analytics, hardware-accelerated SQL, and an advanced analytics & data science framework to find opportunity and risk hidden in your enterprise when you need to most.
  • Previous
  • You're on page 1
  • Next