Best SQL Databases for Mac
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What are SQL Databases for Mac?
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 Mac currently available using the table below. This list is updated regularly.
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1
Percona Server for MySQL
Percona
Percona Server for MySQL is a free, fully-compatible, enhanced, open source drop-in replacement for MySQL. It provides superior performance, scalability, and instrumentation. With over 5,300,000 downloads, Percona Server’s self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability Percona Server for MySQL delivers enterprise-grade features and higher uptime, along with a number of key benefits that improve database performance and efficiency. It provides more time to focus on key priorities, as users need to spend less time on tuning and administering. Percona is a market leader in providing best-of-breed enterprise-class software, support, consulting, managed services, and training for on-premise and cloud-based open source databases. Percona was founded on the belief that everyone should have access to scalable, secure, efficient, and resilient database software features, without inflated fees or vendor lock-in.Starting Price: Free -
2
SQLite
SQLite
SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine. SQLite is the most used database engine in the world. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day. SQLite is an in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. The code for SQLite is in the public domain and is thus free for use for any purpose, commercial or private. SQLite is the most widely deployed database in the world with more applications than we can count, including several high-profile projects.Starting Price: Free -
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 -
4
RaimaDB
Raima
RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS . Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. -
5
Redis
Redis Labs
Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.Starting Price: Free -
6
eXtremeDB
McObject
How is platform independent eXtremeDB different? - Hybrid data storage. Unlike other IMDS, eXtremeDB can be all-in-memory, all-persistent, or have a mix of in-memory tables and persistent tables - Active Replication Fabric™ is unique to eXtremeDB, offering bidirectional replication, multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more - Row & Columnar Flexibility for Time Series Data supports database designs that combine row-based and column-based layouts, in order to best leverage the CPU cache speed - Embedded and Client/Server. Fast, flexible eXtremeDB is data management wherever you need it, and can be deployed as an embedded database system, and/or as a client/server database system -A hard real-time deterministic option in eXtremeDB/rt Designed for use in resource-constrained, mission-critical embedded systems. Found in everything from routers to satellites to trains to stock markets worldwide -
7
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. -
8
CUBRID
CUBRID
CUBRID is a relational DBMS optimized for online transaction processing (OLTP) that complies with ANSI SQL standards and provides MVCC support, High-Availability (HA) capabilities, and GUI-based tools for DB management/migration. It also provides Oracle/MySQL compatibility and supports a variety of interfaces, including JDBC. CUBRID provides ease of installation and native GUI-based administration tools for developers' convenience. Multi-threaded, multi-server architecture, native broker middleware, cost-based optimizer, and intensive caching techniques for your OLTP services. Very accurate predictable automatic fail-over built-in technology, based on the CUBRID Heartbeat native engine core. Multi-volume support, automatic volume expansion, and unlimited number and size of databases/ tables/indexes.Starting Price: $0.01/one-time/user -
9
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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10
Apache Phoenix
Apache Software Foundation
Apache Phoenix enables OLTP and operational analytics in Hadoop for low-latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows.Starting Price: Free -
11
NuoDB
NuoDB
The world is moving to distributed applications and architectures, and your database should too. Learn how you can deploy where you want, when you want, and how you want with a distributed SQL database. Migrate existing SQL applications to a distributed, multi-node architecture that can dynamically scale out and in. Our Transaction Engines (TEs) and Storage Managers (SMs) work together to ensure ACID compliance across multiple nodes. Deploy in a distributed architecture. When you deploy your database with multiple nodes, the loss of one or multiple nodes will not result in the loss of database access. Deploy TEs and SMs to meet your variable workload needs, or deploy in the different environments the teams in your organization uses: in private and public clouds, in hybrid environments, and across clouds. -
12
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. -
13
FrontBase
FrontBase
FrontBase was created to fill the need for a robust and scalable relational database server that was Internet-enabled, had no downtime, and required zero administration. FrontBase's speed, wide range of features, and flexible structure can give you a competitive edge. FrontBase is not only incredibly fast but is also a very scalable relational database server. Our customers use FrontBase to create everything from small personal databases to some of the largest enterprise-level databases in the world, yet without any need for expensive database administration staff. In business since 1996, FrontBase not only creates tools, but also mission critical applications, such as the Command and Control Center for the Copenhagen Police, a 24/7 emergency response system. With a dedicated Support division, and separate divisions for Tools, Core Development, and Professional Services, FrontBase is ready to help you achieve your goals with three offices around the world. -
14
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. -
15
Greenplum
Greenplum Database
Greenplum Database® is an advanced, fully featured, open source data warehouse. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes. Greenplum Database® project is released under the Apache 2 license. We want to thank all our current community contributors and are interested in all new potential contributions. For the Greenplum Database community no contribution is too small, we encourage all types of contributions. An open-source massively parallel data platform for analytics, machine learning and AI. Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. Experience the fully featured, integrated, open source analytics platform. -
16
Actian Zen
Actian
Actian Zen is an embedded, high-performance, and low-maintenance database management system designed for edge applications, mobile devices, and IoT environments. It offers a seamless integration of SQL and NoSQL data models, providing flexibility for developers working with structured and unstructured data. Actian Zen is known for its small footprint, scalability, and high reliability, making it ideal for resource-constrained environments where consistent performance and minimal administrative overhead are essential. With built-in security features and a self-tuning architecture, it supports real-time data processing and analytics without the need for constant monitoring or maintenance. Actian Zen is widely used in industries like healthcare, retail, and manufacturing, where edge computing and distributed data environments are critical for business operations. -
17
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. -
18
Mimer SQL
Mimer
The Mimer SQL codebase is the most modern in the world. It is modular, extremely maintainable, easily expandable, and designed with portability in mind. We know how to squeeze out the best from computers and operating systems, and so does Mimer SQL. Our brand new SQL compiler with the latest in optimization techniques, coupled with a world-class storage engine and no limits besides what the hardware imposes, lays the groundwork for speed and efficiency that is second to none. Continuously improved and refined, the security features of Mimer SQL leave nothing wanting. Data in use, data in motion, and data at rest are all covered with time-tested, reliable, and documented algorithms. Mimer SQL is the ideal companion for the modern in-vehicle computation solution. Its performance and reliability match the hard demands of secure, flexible, and reliable data management in today’s autonomous and connected cars. -
19
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. -
20
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. -
21
SAP MaxDB
SAP
SAP® MaxDB™ is the database management system developed and supported by SAP SE. SAP MaxDB™ is SAP's own database. It is specifically designed to provide lower total cost of ownership (TCO) for SAP applications. SAP solutions use SAP MaxDB to store both application logic and business data. The database is a central component of any SAP solution installation and provides the basis for its reliability. Information about creating and configuring a database, monitoring, backing up and recovering data, exporting and importing data, managing users, analyzing database performance, using SQL optimizer, searching for errors, developing database applications and further activities. Tools integrated in the Computing Centre Management System (CCMS) for analyzing a SAP MaxDB database, scheduling actions and monitoring the database functions and alerts. Command line tool for database administration. -
22
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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