Best Free Distributed Databases of 2025

MongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

InterSystems IRIS, a cloud-first data platform, is a multi-model transactional database management engine, application development platform, interoperability engine and open analytics platform. InterSystems IRIS offers a variety of APIs that allow you to work with transactional persistent data simultaneously. These include key-value, relational and object, document, and multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS features an Interoperability engine as well as modules for building AI solutions. InterSystems IRIS features horizontal scalability (sharding and ECP), and High Availability features such as Business intelligence, transaction support and backup.

MongoDB is a versatile, document-oriented, distributed database designed specifically for contemporary application developers and the cloud landscape. It offers unparalleled productivity, enabling teams to ship and iterate products 3 to 5 times faster thanks to its adaptable document data model and a single query interface that caters to diverse needs. Regardless of whether you're serving your very first customer or managing 20 million users globally, you'll be able to meet your performance service level agreements in any setting. The platform simplifies high availability, safeguards data integrity, and adheres to the security and compliance requirements for your critical workloads. Additionally, it features a comprehensive suite of cloud database services that support a broad array of use cases, including transactional processing, analytics, search functionality, and data visualizations. Furthermore, you can easily deploy secure mobile applications with built-in edge-to-cloud synchronization and automatic resolution of conflicts. MongoDB's flexibility allows you to operate it in various environments, from personal laptops to extensive data centers, making it a highly adaptable solution for modern data management challenges.

When seeking a database that ensures both scalability and high availability without sacrificing performance, Apache Cassandra stands out as an ideal option. Its linear scalability paired with proven fault tolerance on standard hardware or cloud services positions it as an excellent choice for handling mission-critical data effectively. Additionally, Cassandra's superior capability to replicate data across several datacenters not only enhances user experience by reducing latency but also offers reassurance in the event of regional failures. This combination of features makes it a robust solution for organizations that prioritize data resilience and efficiency.

Amazon DynamoDB is a versatile key-value and document database that provides exceptional single-digit millisecond performance, regardless of scale. As a fully managed service, it offers multi-region, multimaster durability along with integrated security features, backup and restore capabilities, and in-memory caching designed for internet-scale applications. With the ability to handle over 10 trillion requests daily and support peak loads exceeding 20 million requests per second, it serves a wide range of businesses. Prominent companies like Lyft, Airbnb, and Redfin, alongside major enterprises such as Samsung, Toyota, and Capital One, rely on DynamoDB for their critical operations, leveraging its scalability and performance. This allows organizations to concentrate on fostering innovation without the burden of operational management. You can create an immersive gaming platform that manages player data, session histories, and leaderboards for millions of users simultaneously. Additionally, it facilitates the implementation of design patterns for various applications like shopping carts, workflow engines, inventory management, and customer profiles. DynamoDB is well-equipped to handle high-traffic, large-scale events seamlessly, making it an ideal choice for modern applications.

ClickHouse is an efficient, open-source OLAP database management system designed for high-speed data processing. Its column-oriented architecture facilitates the creation of analytical reports through real-time SQL queries. In terms of performance, ClickHouse outshines similar column-oriented database systems currently on the market. It has the capability to handle hundreds of millions to over a billion rows, as well as tens of gigabytes of data, on a single server per second. By maximizing the use of available hardware, ClickHouse ensures rapid query execution. The peak processing capacity for individual queries can exceed 2 terabytes per second, considering only the utilized columns after decompression. In a distributed environment, read operations are automatically optimized across available replicas to minimize latency. Additionally, ClickHouse features multi-master asynchronous replication, enabling deployment across various data centers. Each node operates equally, effectively eliminating potential single points of failure and enhancing overall reliability. This robust architecture allows organizations to maintain high availability and performance even under heavy workloads.

RavenDB is a pioneering NoSQL Document Database. It is fully transactional (ACID across your database and within your cluster). Our open-source distributed database has high availability and high performance, with minimal administration. It is an all-in-one database that is easy to use. This reduces the need to add on tools or support for developers to increase developer productivity and speed up your project's production. In minutes, you can create and secure a data cluster and deploy it in the cloud, on-premise, or in a hybrid environment. RavenDB offers a Database as a Service, which allows you to delegate all database operations to us, so you can concentrate on your application. RavenDB's built-in storage engine Voron can perform at speeds of up to 1,000,000 reads per second and 150,000 write per second on a single node. This allows you to improve your application's performance by using simple commodity hardware.

Fauna is a data API that supports rich clients with serverless backends. It provides a web-native interface that supports GraphQL, custom business logic, frictionless integration to the serverless ecosystem, and a multi-cloud architecture that you can trust and grow with.

HarperDB is an innovative platform that integrates database management, caching, application development, and streaming capabilities into a cohesive system. This allows businesses to efficiently implement global-scale back-end services with significantly reduced effort, enhanced performance, and cost savings compared to traditional methods. Users can deploy custom applications along with pre-existing add-ons, ensuring a high-throughput and ultra-low latency environment for their data needs. Its exceptionally fast distributed database offers vastly superior throughput rates than commonly used NoSQL solutions while maintaining unlimited horizontal scalability. Additionally, HarperDB supports real-time pub/sub communication and data processing through protocols like MQTT, WebSocket, and HTTP. This means organizations can leverage powerful data-in-motion functionalities without the necessity of adding extra services, such as Kafka, to their architecture. By prioritizing features that drive business growth, companies can avoid the complexities of managing intricate infrastructures. While you can’t alter the speed of light, you can certainly minimize the distance between your users and their data, enhancing overall efficiency and responsiveness. In doing so, HarperDB empowers businesses to focus on innovation and progress rather than getting bogged down by technical challenges.

Create adaptable, decentralized systems that can utilize the complete history of your vital data rather than just its latest version. You can either build these systems on your current infrastructure or opt to transition directly to cloud solutions. Gaining critical insights requires understanding the entire narrative of your data, not merely its most recent status. Datomic maintains a repository of unchangeable facts, offering your applications a robust consistency while facilitating horizontal read scalability along with integrated caching features. Since facts are never modified directly and all data is preserved by default, you benefit from inherent auditing capabilities and the option to query historical information. Additionally, this system supports fully ACID-compliant transactions. The information model of Datomic is designed to accommodate a diverse range of use cases. With the Datomic Peer library, you can disseminate immutable data across your application nodes, ensuring in-memory access to your information. Alternatively, leverage the client library to establish lightweight nodes tailored for microservice architectures, enabling seamless integration and enhanced performance. By utilizing these capabilities, you can achieve a comprehensive understanding of your data landscape.

Apache Trafodion serves as a webscale SQL-on-Hadoop solution that facilitates transactional or operational processes within the Apache Hadoop ecosystem. By leveraging the inherent scalability, elasticity, and flexibility of Hadoop, Trafodion enhances its capabilities to ensure transactional integrity, which opens the door for a new wave of big data applications to operate seamlessly on Hadoop. The platform supports the full ANSI SQL language, allowing for JDBC/ODBC connectivity suitable for both Linux and Windows clients. It provides distributed ACID transaction protection that spans multiple statements, tables, and rows, all while delivering performance enhancements specifically designed for OLTP workloads through both compile-time and run-time optimizations. Trafodion is also equipped with a parallel-aware query optimizer that efficiently handles large datasets, enabling developers to utilize their existing SQL knowledge and boost productivity. Furthermore, its distributed ACID transactions maintain data consistency across various rows and tables, making it interoperable with a wide range of existing tools and applications. This solution is neutral to both Hadoop and Linux distributions, providing a straightforward integration path into any existing Hadoop infrastructure. Thus, Apache Trafodion not only enhances the power of Hadoop but also simplifies the development process for users.

AntDB is a cloud-native, distributed relational database created by AsiaInfo Technologies, specifically engineered to excel in high-performance online transaction processing and analytical processing tasks. With a reach of over 1 billion subscribers across 24 provinces in China, AntDB effectively manages extensive business data related to telecommunications, internet access, financial transactions, and billing systems. Its innovative cloud-native architecture allows for online scalability, consistent data integrity, and robust high availability across multiple data centers. Furthermore, AntDB adheres to SQL2016 standards and integrates effortlessly with various domestic ecosystems, including leading CPUs and operating systems. The platform provides essential features such as automatic high availability, the ability to expand capacity elastically online, and kernel-level read/write splitting, which optimizes traffic management during peak usage periods. This versatile database system has seen successful implementation in various sectors, including telecommunications, finance, transportation, and energy, showcasing its wide-ranging applicability and importance in modern data management solutions. Additionally, AntDB continues to evolve, adapting to emerging technologies and industry demands.

OrbitDB functions as a decentralized, serverless, peer-to-peer database that leverages IPFS for data storage and utilizes Libp2p Pubsub for seamless synchronization among peers. It incorporates Merkle-CRDTs to facilitate conflict-free writing and merging of database entries, making it ideal for decentralized applications, blockchain projects, and web apps designed to operate primarily offline. The platform provides a range of database types that cater to distinct requirements: 'events' serves as immutable append-only logs, 'documents' allows for JSON document storage indexed by specific keys, 'keyvalue' offers conventional key-value pair storage, and 'keyvalue-indexed' provides LevelDB-indexed key-value data. Each of these database types is constructed on OpLog, a structure that is immutable, cryptographically verifiable, and based on operation-driven CRDT principles. The JavaScript implementation is compatible with both browser and Node.js environments, while a version in Go is actively maintained by the Berty project, ensuring a wide range of support for developers. This flexibility and adaptability make OrbitDB a powerful choice for those looking to implement modern data solutions in distributed systems.

Aerospike is the global leader for next-generation, real time NoSQL data solutions at any scale. Aerospike helps enterprises overcome seemingly impossible data bottlenecks and compete with other companies at a fraction of the cost and complexity of legacy NoSQL databases. Aerospike's Hybrid Memory Architecture™ is a patented technology that unlocks the full potential of modern hardware and delivers previously unimaginable value. It does this by delivering unimaginable value from huge amounts of data at both the edge, core, and in the cloud. Aerospike empowers customers with the ability to instantly combat fraud, dramatically increase shopping cart sizes, deploy global digital payment networks, and provide instant, one-to-1 personalization for millions. Aerospike customers include Airtel and Banca d'Italia as well as Snap, Verizon Media, Wayfair, PayPal, Snap, Verizon Media, and Nielsen. The company's headquarters is in Mountain View, California. Additional locations are in London, Bengaluru, India, and Tel Aviv in Israel.

AllegroGraph represents a revolutionary advancement that facilitates limitless data integration through a proprietary methodology that merges all types of data and isolated knowledge into a cohesive Entity-Event Knowledge Graph, which is capable of handling extensive big data analytics. It employs distinctive federated sharding features that promote comprehensive insights and allow for intricate reasoning across a decentralized Knowledge Graph. Additionally, AllegroGraph offers an integrated version of Gruff, an innovative browser-based tool designed for visualizing graphs, helping users to explore and uncover relationships within their enterprise Knowledge Graphs. Furthermore, Franz's Knowledge Graph Solution encompasses both cutting-edge technology and expert services aimed at constructing robust Entity-Event Knowledge Graphs, leveraging top-tier tools, products, and extensive expertise to ensure optimal performance. This comprehensive approach not only enhances data utility but also empowers organizations to derive deeper insights and drive informed decision-making.

ScyllaDB serves as an ideal database solution for applications that demand high performance and minimal latency, catering specifically to data-intensive needs. It empowers teams to fully utilize the growing computing capabilities of modern infrastructures, effectively removing obstacles to scaling as data volumes expand. Distinct from other database systems, ScyllaDB stands out as a distributed NoSQL database that is completely compatible with both Apache Cassandra and Amazon DynamoDB, while incorporating significant architectural innovations that deliver outstanding user experiences at significantly reduced costs. Over 400 transformative companies, including Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung, rely on ScyllaDB to tackle their most challenging database requirements. Furthermore, ScyllaDB is offered in various formats, including a free open-source version, a fully-supported enterprise solution, and a fully managed database-as-a-service (DBaaS) available across multiple cloud platforms, ensuring flexibility for diverse user needs. This versatility makes it an attractive choice for organizations looking to optimize their database performance.

Azure Cosmos DB offers a fully managed NoSQL database solution tailored for contemporary application development, ensuring single-digit millisecond response times and an impressive availability rate of 99.999 percent, all supported by service level agreements. This service provides automatic, instantaneous scalability and supports open-source APIs for MongoDB and Cassandra, allowing for rapid data operations. With its turnkey multi-master global distribution, users can experience swift read and write operations from any location around the globe. Additionally, Azure Cosmos DB enables organizations to accelerate their decision-making processes by facilitating near-real-time analytics and AI capabilities on the operational data housed within the database. Furthermore, Azure Synapse Link for Azure Cosmos DB integrates effortlessly with Azure Synapse Analytics, ensuring smooth performance without necessitating data movement or compromising the efficiency of the operational data store, enhancing the overall functionality of your data strategy. This integration not only streamlines workflows but also empowers users to derive insights more efficiently.

Greenplum Database® stands out as a sophisticated, comprehensive, and open-source data warehouse solution. It excels in providing swift and robust analytics on data volumes that reach petabyte scales. Designed specifically for big data analytics, Greenplum Database is driven by a highly advanced cost-based query optimizer that ensures exceptional performance for analytical queries on extensive data sets. This project operates under the Apache 2 license, and we extend our gratitude to all current contributors while inviting new ones to join our efforts. In the Greenplum Database community, every contribution is valued, regardless of its size, and we actively encourage diverse forms of involvement. This platform serves as an open-source, massively parallel data environment tailored for analytics, machine learning, and artificial intelligence applications. Users can swiftly develop and implement models aimed at tackling complex challenges in fields such as cybersecurity, predictive maintenance, risk management, and fraud detection, among others. Dive into the experience of a fully integrated, feature-rich open-source analytics platform that empowers innovation.

Blazegraph™ DB is an exceptionally high-performance graph database that offers support for Blueprints, along with RDF and SPARQL APIs. Capable of handling up to 50 billion edges on a single server, it has been adopted by numerous Fortune 500 companies, including EMC and Autodesk. This database is integral to various Precision Medicine applications and enjoys extensive use in the life sciences sector. Additionally, it plays a crucial role in cyber analytics for both commercial enterprises and government agencies. Moreover, Blazegraph powers the Wikidata Query Service for the Wikimedia Foundation. Users have the option to download it as an executable jar, a war file, or a tar.gz distribution. Designed with user-friendliness in mind, Blazegraph allows for a quick start, although it comes with SSL and authentication turned off by default. For those deploying in a production environment, it is highly advisable to activate SSL, establish authentication, and implement suitable network configurations to ensure security. Below, you will find valuable resources to assist you in making these configurations effectively. Furthermore, the documentation provides a comprehensive guide for new users to navigate setup and support effectively.

The foundation of creating intelligent systems lies in the database, and Grakn serves as a sophisticated knowledge graph database. It features an incredibly user-friendly and expressive data schema that allows for the definition of hierarchies, hyper-entities, hyper-relations, and rules to establish detailed knowledge models. With its intelligent language, Grakn executes logical inferences on data types, relationships, attributes, and intricate patterns in real-time across distributed and stored data. It also offers built-in distributed analytics algorithms, such as Pregel and MapReduce, which can be accessed using straightforward queries within the language. The system provides a high level of abstraction over low-level patterns, simplifying the expression of complex constructs while optimizing query execution automatically. By utilizing Grakn KGMS and Workbase, enterprises can effectively scale their knowledge graphs. Furthermore, this distributed database is engineered to function efficiently across a network of computers through techniques like partitioning and replication, ensuring seamless scalability and performance.

The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.

PolarDB is engineered for mission-critical database applications that demand exceptional speed, extensive concurrency, and seamless scaling capabilities. It allows for a remarkable expansion of up to millions of queries per second and supports a database cluster with a capacity of 100 TB alongside 15 low latency read replicas. This platform boasts a performance that is six times quicker than traditional MySQL databases while providing the security, reliability, and availability comparable to well-established commercial databases at merely one-tenth of the cost. PolarDB represents a culmination of advanced database technology and best practices refined over the previous decade, which have been instrumental during massive events like the Alibaba Double 11 Global Shopping Festival. In a move to foster the developer community, we are pleased to introduce Always Free ApsaraDB for PolarDB across all three variations, available for users operating with no more than one instance (featuring 2 cores and 8GB of memory) and up to 50GB of storage. Act now to register and ensure you renew each month in order to retain this advantageous offer. Please be aware that the availability of regional resources may vary over time, so staying informed is essential.

Citus enhances the beloved Postgres experience by integrating the capability of distributed tables, while remaining fully open source. It now supports both schema-based and row-based sharding, alongside compatibility with Postgres 16. You can scale Postgres effectively by distributing both data and queries, starting with a single Citus node and seamlessly adding more nodes and rebalancing shards as your needs expand. By utilizing parallelism, maintaining a larger dataset in memory, increasing I/O bandwidth, and employing columnar compression, you can significantly accelerate query performance by up to 300 times or even higher. As an extension rather than a fork, Citus works with the latest versions of Postgres, allowing you to utilize your existing SQL tools and build on your Postgres knowledge. Additionally, you can alleviate infrastructure challenges by managing both transactional and analytical tasks within a single database system. Citus is available for free download as open source, giving you the option to self-manage it while actively contributing to its development through GitHub. Shift your focus from database concerns to application development by running your applications on Citus within the Azure Cosmos DB for PostgreSQL environment, making your workflow more efficient.

As the trend towards distributed applications and architectures continues to grow, it is essential for your database to adapt accordingly. Discover the flexibility of a distributed SQL database that allows you to deploy it wherever and whenever you need, tailored to your specific requirements. Transition your current SQL applications to a robust multi-node setup that can effortlessly scale both up and down as demand fluctuates. Our Transaction Engines (TEs) and Storage Managers (SMs) collaborate seamlessly to maintain ACID compliance across various nodes. By implementing a distributed architecture, your database can withstand the failure of one or more nodes without compromising access. You can strategically deploy TEs and SMs to align with your changing workload demands or across the various environments utilized by your teams, whether in private clouds, public clouds, hybrid setups, or across multiple cloud services. This adaptability ensures that your database remains resilient and efficient in a dynamic technological landscape.