Best Relational Database for RazorSQL
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Compare the Top Relational Database that integrates with RazorSQL as of October 2025
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This a list of Relational Database that integrates with RazorSQL. Use the filters on the left to add additional filters for products that have integrations with RazorSQL. View the products that work with RazorSQL in the table below.
What is Relational Database for RazorSQL?
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 RazorSQL currently available using the table below. This list is updated regularly.
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1
Teradata VantageCloud
Teradata
Teradata VantageCloud is a cloud-native relational database platform built for enterprise-scale performance and analytics. It supports ANSI SQL and relational data models, enabling complex queries across structured and semi-structured data. VantageCloud runs on multi-cloud and hybrid environments, offering elastic scalability, workload optimization, and integration with open-source tools. Its architecture ensures high availability, strong governance, and compatibility with modern data ecosystems—making it ideal for organizations seeking a powerful RDBMS that combines traditional reliability with advanced analytics and AI capabilities. -
2
Microsoft Access
Microsoft
Create your own database apps easily in formats that serve your business best. PC only. Access is an easy-to-use tool for creating business applications, from templates or from scratch. With its rich and intuitive design tools, Access can help you create appealing and highly functional applications in a minimal amount of time. Tailor your custom apps to your business and your customers, easily editing as needed to meet evolving needs. Using Visual Basic for Applications, automate business processes and create more useful forms and reports. Integrate data between Access and line-of-business apps using the Access connector library to generate aggregated visuals and insights in the familiar Access interface. Easily store data in SQL Server and Microsoft Azure SQL to enhance reliability, scalability, security, and long-term manageability. -
3
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 -
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SQL Server
Microsoft
Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.Starting Price: Free -
5
dBASE
dBase, LLC
The dBASE® 2019 product has been OPTIMIZED to make development easier, faster, and frankly more fun! Whenever, you see Creature Feature, you know we have added new capability to make your job better. dBASE® 2019 release is focused on OPTIMIZATION of the entire product but it includes many great features for the IDE. We have also added new capabilities with the Compiler functionality. We have enhanced how you develop in the Editor. Plus we implemented the #1 requested component and finally we end with a general overhaul to ADO. The IDE is where the magic happens, why not give users a say in how it works? 80% of the time is spent in the editor, while 20% is in graphical designers. The IDE has been optimized with new and updated features.Starting Price: $499.00/one-time/user -
6
Amazon Aurora
Amazon
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.Starting Price: $0.02 per month -
7
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.
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8
SAP SQL Anywhere
SAP
Run your business from anywhere with relational database management system (RDBMS) solutions from SAP SQL Anywhere. Enable secure, reliable data management for servers where no DBA is available and synchronization for tens of thousands of mobile devices, Internet of Things (IoT) systems, and remote environments. Deliver critical business data to remote offices and mobile devices for more accurate, real-time decision-making at the front lines of your business. Run mobile applications reliably and efficiently without on-site technical staff, giving mobile and remote workers an always on experience, even when they are offline. Streamline data maintenance tasks with built-in self-managing features that help users resolve issues quickly and efficiently. Protect and secure your data, even during data transmission and exchange, with powerful encryption features.Starting Price: $195 per license -
9
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. -
10
IBM Db2
IBM
IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor. -
11
IBM Informix
IBM
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. -
12
SAP IQ
SAP
Enhance in-the-moment decision-making with SAP IQ, our columnar relational database management system (RDBMS) optimized for Big Data analytics. Gain maximum speed, power, and security, while supporting extreme-scale enterprise data warehousing and Big Data analytics, with this affordable, efficient relational database management system (RDBMS) for SAP Business Technology Platform. Deploy as a fully managed cloud service on a major hyper scale platform. Ingest, store, and query large data volumes within a relational data lake that provides a native object storage for most file types. Provide a compatible, fully managed cloud option for SAP IQ customers that extend existing Sybase investments. Simplify the migration of existing SAP IQ databases to the cloud. Make Big Data available faster to applications and people for in-the-moment decisions. -
13
Apache Druid
Druid
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures. -
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SAP HANA
SAP
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. -
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VoltDB
VoltDB
Volt Active Data is a data platform built to make your entire tech stack leaner, faster, and less expensive, so that your applications (and your company) can scale seamlessly to meet the ultra-low latency SLAs of 5G, IoT, edge computing, and whatever comes next. Designed to augment your existing big data investments, such as NoSQL, Hadoop, Kubernetes, Kafka, and traditional databases or data warehouses, Volt Active Data replaces the various layers typically required to make contextual decisions on streaming data with a single, unified layer that can handle ingest to action in less than 10 milliseconds. The world is full of data that’s generated, stored, forgotten, and then deleted. “Active Data” is data that needs to be acted on immediately to gain business value from it. There are lots of traditional and NoSQL data storage products that you can use to keep such data. There’s also data that you can make money from, if only you can act on it fast enough to ‘influence the moment’. -
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MonetDB
MonetDB
Choose from a wide range of SQL features to realise your applications from pure analytics to hybrid transactional/analytical processing. When you're curious about what's in your data; when you want to work efficiently; when your deadline is closing: MonetDB returns query result in mere seconds or even less. When you want to (re)use your own code; when you need specialised functions: use the hooks to add your own user-defined functions in SQL, Python, R or C/C++. Join us and expand the MonetDB community spread over 130+ countries with students, teachers, researchers, start-ups, small businesses and multinational enterprises. Join the leading Database in Analytical Jobs and surf the innovation! Don’t lose time with complex installation, use MonetDB’s easy setup to get your DBMS up and running quickly. -
17
PostgreSQL
PostgreSQL Global Development Group
PostgreSQL is a powerful, open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. There is a wealth of information to be found describing how to install and use PostgreSQL through the official documentation. The open-source community provides many helpful places to become familiar with PostgreSQL, discover how it works, and find career opportunities. Learm more on how to engage with the community. The PostgreSQL Global Development Group has released an update to all supported versions of PostgreSQL, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23. This release fixes 25 bugs reported over the last several months. This is the final release of PostgreSQL 10. PostgreSQL 10 will no longer receive security and bug fixes. If you are running PostgreSQL 10 in a production environment, we suggest that you make plans to upgrade. -
18
Apache Derby
Apache
Apache Derby, an Apache DB subproject, is an open source relational database implemented entirely in Java and available under the Apache License, Version 2.0. Derby has a small footprint - about 3.5 megabytes for the base engine and embedded JDBC driver. Derby provides an embedded JDBC driver that lets you embed Derby in any Java-based solution. Derby also supports the more familiar client/server mode with the Derby Network Client JDBC driver and Derby Network Server. -
19
solidDB
UNICOM Systems
solidDB is known worldwide for delivering data with extreme speed. There are millions of deployments of solidDB in telecommunications networks, enterprise applications, and embedded software & systems. Market leaders such as Cisco, HP, Alcatel, Nokia and Siemens rely on it for their mission-critical applications. By keeping critical data in memory, rather than on disk, solidDB can perform significantly faster than conventional databases. It helps applications achieve throughput of hundreds of thousands to millions of transactions per second with response times measured in microseconds. Beyond game-changing performance, solidDB also provides built-in data availability features that help sustain uptime, prevent data loss and accelerate recovery. Additionally, solidDB supports administrators with the flexibility to tailor the software to precise application needs and features designed to simplify deployment and administration, helping drive down the total cost of ownership (TCO). -
20
MariaDB
MariaDB
MariaDB Platform is a complete enterprise open source database solution. It has the versatility to support transactional, analytical and hybrid workloads as well as relational, JSON and hybrid data models. And it has the scalability to grow from standalone databases and data warehouses to fully distributed SQL for executing millions of transactions per second and performing interactive, ad hoc analytics on billions of rows. MariaDB can be deployed on prem on commodity hardware, is available on all major public clouds and through MariaDB SkySQL as a fully managed cloud database. To learn more, visit mariadb.com. -
21
Oracle Database
Oracle
Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. Oracle Autonomous Database, available on-premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads. Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database while giving customers the highest levels of performance, scalability, and availability. Oracle Database can be deployed on-premises when customers have data residency and network latency concerns. Customers with applications that are dependent on specific Oracle database versions have complete control over the versions they run and when those versions change. -
22
InterBase
Embarcadero
Ultrafast, scalable, embeddable SQL database with commercial-grade data security, disaster recovery, and change synchronization. Cross-platform, zero-install, embedded database as a direct-access library. Cross-platform, zero-install, embedded database with database-level and column-level AES and DES encryption. Concurrent applications/client access to the database on Windows with database-level and column-level AES and DES encryption. Ultrafast, scalable, SQL server database for Windows and Linux with commercial-grade data security, disaster recovery and change synchronization. Attacks on databases and loss of data can be costly and lead to loss of customers’ trust (and business), regulatory action, and heavy fines. InterBase provides over-the-wire and at-rest encryption, separate security login, and role-based user security. InterBase maintains full on-disk encryption while adding negligible overhead to database speed and performance. -
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H2
H2
Welcome to H2, the Java SQL database. In embedded mode, an application opens a database from within the same JVM using JDBC. This is the fastest and easiest connection mode. The disadvantage is that a database may only be open in one virtual machine (and class loader) at any time. As in all modes, both persistent and in-memory databases are supported. There is no limit on the number of database open concurrently, or on the number of open connections. The mixed mode is a combination of the embedded and the server mode. The first application that connects to a database does that in embedded mode, but also starts a server so that other applications (running in different processes or virtual machines) can concurrently access the same data. The local connections are as fast as if the database is used in just the embedded mode, while the remote connections are a bit slower.
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