Best Free Document Databases of 2025

Percona Server is a free, open-source replacement for MongoDB Community Edition. It combines all of the features and benefits from MongoDB Community Edition with enterprise-class Percona features. Percona Server is based on MongoDB Community Edition and offers flexible data structure, native high-availability, easy scalability, developer-friendly syntax, and a flexible data structure. It also features an in-memory engine and hot backups, LDAP authentication and database auditing.

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.

Cloud Firestore is a highly efficient, fully managed, serverless NoSQL document database designed to streamline the storage, synchronization, and querying of data for mobile, web, and IoT applications on a global scale. It features client libraries that ensure real-time synchronization and offline capabilities, while its security measures and seamless integrations with Firebase and Google Cloud Platform (GCP) facilitate the rapid development of genuinely serverless applications. With an emphasis on providing an excellent developer experience, Firestore incorporates built-in live synchronization, offline support, and ACID transactions, all accessible through a comprehensive array of client and server-side libraries. The system automatically adjusts to varying demand levels, eliminating the need for maintenance and delivering impressive availability rates between 99.99% and 99.999% through reliable data replication. Operating as a no-operations database, it allows users to pay solely for what they consume, avoiding upfront costs and issues related to underutilization of resources. Its simplified architecture enables direct communication between your applications and Firestore, enhancing overall efficiency and performance. Additionally, the continuous updates and improvements to the platform ensure that developers can leverage the latest features and security enhancements effortlessly.

BangDB seamlessly incorporates AI, streaming capabilities, graph processing, and analytics directly within its database, empowering users to handle intricate data types like text, images, videos, and objects for immediate data processing and analysis. Users can ingest or stream various data types, process them, train models, make predictions, uncover patterns, and automate actions, facilitating applications such as IoT monitoring, fraud prevention, log analysis, lead generation, and personalized experiences. Modern applications necessitate the simultaneous ingestion, processing, and querying of diverse data types to address specific challenges effectively. BangDB accommodates a wide array of valuable data formats, simplifying problem-solving for users. The increasing demand for real-time data is driving the need for concurrent streaming and predictive analytics, which are essential for enhancing and optimizing business operations. As organizations continue to evolve, the ability to rapidly adapt to new data sources and insights will become increasingly vital for maintaining a competitive edge.

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.

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.

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.

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.

Create any application utilizing Postgres, known as the comprehensive database solution. Experience the advantages of the unaltered open-source community version of Postgres while leveraging cloud-native features, including high availability, seamless updates, and effective resource management. The intricacies of deployment, configuration, management, and optimization can be overwhelming; we take care of these complexities so that your focus remains solely on your application. Recognizing that each organization has unique needs, we provide secure cloud operation with options such as user tiers, IP allow lists, and encryption for data at rest, or you can opt to deploy within your own infrastructure. Our user interface is designed to be clear and intuitive, ensuring that developers enjoy a pleasant experience. Additionally, our command-line interface empowers you with direct control over Postgres. Concentrate on developing your product instead of managing your database. We fine-tune every aspect of your environment, including hardware, Postgres configurations, and pertinent extensions, to ensure optimal performance tailored to your workload. There are no concealed fees or unexpected charges; you pay solely for the resources you actually utilize. This means you can store any amount of data you require and perform as many queries as necessary without worry. Our services enable you to scale effortlessly and innovate without constraints.

MongoLime provides a user-friendly platform for overseeing and managing MongoDB connections effectively. It enables users to view and handle documents, along with accessing statistics, indexes, and various operations. With its intuitive editor, users can create and modify documents seamlessly, while a raw JSON editor is available for more intricate document requirements. The query builder facilitates easy document searches, and users can save their searches for quick retrieval. Additionally, databases and collections can be exported in a JSON format compressed as a ZIP file. Designed specifically for mobile devices and tablets operating on Android, MongoLime’s interfaces ensure effortless management of data collection. Furthermore, the application supports direct connections to MongoDB databases or connections in the Replica Set mode for enhanced flexibility.

It has undergone extensive evaluation in actual business scenarios, proving its stability, strength, and efficiency while remaining highly adaptable for diverse applications. Each additional column incorporated into a table is instantly available for use in the table filters, and when it comes to references, filtering can be performed using any attribute from the related tables. Users have the flexibility to sort their records by any column, including those from reference tables, and can create multiple filters to achieve a desired hierarchical arrangement. Exporting data to formats such as XLS or CSV is straightforward, with options to either copy-paste or download a CSV file, and the system also supports importing from spreadsheets. InstaDB verifies the correctness of formats and ensures that any referenced records exist within the database, providing a preview of changes before any updates are finalized to prevent accidental modifications. Additionally, users can effortlessly show, hide, and rearrange the order of columns, and the Reset View button conveniently restores the default column structure whenever needed. This level of flexibility and user control enhances the overall experience, making data management more intuitive and efficient.

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.

InterSystems Cache®, a high-performance database, powers transaction processing applications all over the globe. It's used for everything, from mapping a million stars in the Milky Way to processing a trillion equity trades per day to managing smart energy grids. InterSystems has developed Cache, a multi-model (object-relational, key-value), DBMS and application server. InterSystems Cache offers multiple APIs that allow you to work with the same data simultaneously: key/value, relational/object, document, multidimensional, object, object, and object. Data can be managed using SQL, Java, node.js.NET, C++ and Python. Cache also offers an application server that hosts web apps (CSP, REST, SOAP and other types TCP access for Cache data).

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.

We provide a globally distributed real-time database, along with stream processing and computing capabilities for event-driven applications, utilizing as many as 175 edge data centers around the world. Developers and API creators appreciate our platform because it addresses the complex challenges of managing shared mutable state across hundreds of locations with both strong consistency and minimal latency. Macrometa empowers you to seamlessly enhance your existing infrastructure, allowing you to reposition portions of your application or the entire setup closer to your end users. This strategic placement significantly boosts performance, enhances user experiences, and ensures adherence to international data governance regulations. Serving as a serverless, streaming NoSQL database, Macrometa encompasses integrated pub/sub features, stream data processing, and a compute engine. You can establish a stateful data infrastructure, create stateful functions and containers suitable for prolonged workloads, and handle data streams in real time. While you focus on coding, we manage all operational tasks and orchestration, freeing you to innovate without constraints. As a result, our platform not only simplifies development but also optimizes resource utilization across global networks.

Datastore serves as a robust NoSQL database designed to accommodate the needs of your applications with remarkable scalability. It efficiently manages sharding and replication on its own, ensuring that you benefit from a database that is both highly durable and readily available, adapting to your application's demands as they grow. This platform offers a wealth of features, including ACID transactions, SQL-like querying capabilities, and indexing options, among others. By utilizing Datastore's RESTful interface, you can conveniently access your data across any deployment target. It enables the creation of solutions that integrate seamlessly between App Engine and Compute Engine, positioning Datastore as a central hub for your data needs. Concentrate on the development of your applications without the hassle of provisioning or anticipating load requirements. As your data expands, Datastore automatically and effortlessly adjusts, ensuring that performance remains optimal even during periods of increased traffic. Additionally, this flexibility allows developers to focus on innovation rather than infrastructure management.

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.

Couchbase distinguishes itself from other NoSQL databases by delivering an enterprise-grade, multicloud to edge solution that is equipped with the powerful features essential for mission-critical applications on a platform that is both highly scalable and reliable. This distributed cloud-native database operates seamlessly in contemporary dynamic settings, accommodating any cloud environment, whether it be customer-managed or a fully managed service. Leveraging open standards, Couchbase merges the advantages of NoSQL with the familiar structure of SQL, thereby facilitating a smoother transition from traditional mainframe and relational databases. Couchbase Server serves as a versatile, distributed database that integrates the benefits of relational database capabilities, including SQL and ACID transactions, with the adaptability of JSON, all built on a foundation that is remarkably fast and scalable. Its applications span various industries, catering to needs such as user profiles, dynamic product catalogs, generative AI applications, vector search, high-speed caching, and much more, making it an invaluable asset for organizations seeking efficiency and innovation.

Unlock the potential of your data, expedite insightful decision-making, and attain agility in data management securely with the MarkLogic data platform. This platform allows you to merge your data with all relevant metadata within a unified service, leading to quicker and more informed decision-making. Experience a reliable and efficient approach to securely link data and metadata, derive meaningful insights, and access high-quality contextualized information throughout your organization using the MarkLogic data platform. Gain real-time insights into your customers to deliver relevant and seamless interactions, uncover new opportunities to drive innovation, and facilitate compliant access within a single data framework. With MarkLogic, you have a solid foundation that supports your essential business and technical goals both now and in the future, ensuring you stay ahead in a dynamic market.

RethinkDB enables seamless JSON data delivery to your applications in real time. Relying on traditional polling for data can lead to sluggish performance, scalability issues, and maintenance challenges. As an open-source and scalable database, RethinkDB significantly simplifies the development of real-time applications. Pioneers like Google Docs, Trello, and Quora have set the standard for real-time web experiences. With RethinkDB, developers can create remarkable real-time applications with considerably less effort. In the context of multiplayer gaming, it is crucial for every participant to instantly witness a player's actions. RethinkDB streamlines the data infrastructure necessary for low-latency and high-throughput real-time interactions. It also minimizes the complexity involved in constructing real-time trading and optimization systems. You can publish live updates to thousands of clients and deliver pricing changes in a matter of milliseconds. Additionally, RethinkDB allows for the creation of real-time dashboards powered by data push notifications, enabling swift business decision-making. This combination of features makes RethinkDB an invaluable tool for developers aiming to enhance user engagement and responsiveness.

SinglebaseCloud is a comprehensive backend-as-a-service platform powered by AI, designed to expedite the development of mobile and web applications. It offers a range of essential components, including a Vector Database, a Relational Document Database for a versatile data model, user Authentication for seamless signup and login, AI Similarity Search, and storage solutions for documents and images. By using SinglebaseCloud, you can eliminate the burdens of infrastructure management, provisioning, scaling, security, and maintaining data integrity, meaning there's no need for DevOps or backend engineers to manage your backend—everything is taken care of for you. We've got your backend covered. With our appealing Free Starter plan, you can dive into development without worrying about usage limits or data restrictions; we're offering unlimited API calls and storage, allowing you to explore and build your applications geared for production. Additionally, our Pro Plan ensures straightforward pricing with no unexpected charges, providing a single flat fee for all backend services—offering you predictable expenses while opening the door to limitless opportunities in app creation.

Store data in its native format for graph, document, and search purposes. Leverage a comprehensive query language that allows for rich access to this data. Map the data directly to the database and interact with it through optimal methods tailored for specific tasks, such as traversals, joins, searches, rankings, geospatial queries, and aggregations. Experience the benefits of polyglot persistence without incurring additional costs. Design, scale, and modify your architectures with ease to accommodate evolving requirements, all while minimizing effort. Merge the adaptability of JSON with advanced semantic search and graph technologies, enabling the extraction of features even from extensive datasets, thereby enhancing data analysis capabilities. This combination opens up new possibilities for handling complex data scenarios efficiently.

TopK is a cloud-native document database that runs on a serverless architecture. It's designed to power search applications. It supports both vector search (vectors being just another data type) as well as keyword search (BM25 style) in a single unified system. TopK's powerful query expression language allows you to build reliable applications (semantic, RAG, Multi-Modal, you name them) without having to juggle multiple databases or services. The unified retrieval engine we are developing will support document transformation (automatically create embeddings), query comprehension (parse the metadata filters from the user query), adaptive ranking (provide relevant results by sending back "relevance-feedback" to TopK), all under one roof.