Best Embedded Database Systems in the USA

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.

MySQL is the most widely used open-source database in the world. MySQL is the most popular open source database for web-based applications. It has been proven to be reliable, performant, and easy-to-use. This database is used by many high-profile web properties, including Facebook, Twitter and YouTube. It is also a popular choice for embedded databases, distributed by thousands ISVs and OEMs.

SQLite is a C language library that implements a small, fast and self-contained SQL database engine. It is highly reliable, compact, efficient, and fully-featured. SQLite is the most widely used database engine in the globe. SQLite is embedded in all mobile phones and computers. It also comes with countless other applications that people use every single day. SQLite is an embedded library that implements a self contained, serverless, zero configuration, transactional SQL database engine. The code for SQLite can be used for commercial and private purposes. SQLite is the most used database in the world, with many high-profile projects and more applications than we can count.

What makes eXtremeDB platform independent? - Hybrid storage of data. Unlike other IMDS databases, eXtremeDB databases are all-in-memory or all-persistent. They can also have a mix between persistent tables and in-memory table. eXtremeDB's Active Replication Fabric™, which is unique to eXtremeDB, offers bidirectional replication and multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more. - Row and columnar flexibility for time series data. eXtremeDB supports database designs which combine column-based and row-based layouts in order to maximize the CPU cache speed. - Client/Server and embedded. eXtremeDB provides data management that is fast and flexible wherever you need it. It can be deployed as an embedded system and/or as a clients/server database system. eXtremeDB was designed for use in resource-constrained, mission-critical embedded systems. Found in over 30,000,000 deployments, from routers to satellites and trains to stock market world-wide.

Firebird is a relational data base that supports many ANSI SQL standards. It runs on Linux, Windows, and a range of Unix platforms. Firebird provides high concurrency, high performance and powerful language support for stored procedure and triggers. Since 1981, it has been used in production systems under many names. The Firebird Project is a commercially-independent project consisting of C and C++ programmers, technical advisers, and supporters. It develops and enhances a multi-platform relational data management system that uses the source code released by Inprise Corp (now Borland Software Corp) 25 July 2000.

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. * [Major RDBMS Features]: - ANSI SQL standard and support extended SQL syntaxes - Support VIEW/TRIGGER/PRIMARY KEY/FOREIGN KEY/SERIAL - Support Stored Procedure/Function - Seamless transactions: COMMIT/ROLLBACK/SAVEPOINT - Support automatic recovery in the event of failure CUBRID consists of a 3-tier structure of applications/interfaces, brokers, and servers, and the flexibility to build systems is ideal for data-intensive online transaction processing (OLTP) services. 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.

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).

VelocityDB is a database platform unlike any other. It stores data faster and more efficiently than other databases engines at a fraction the cost. It stores.NET objects in their original form without any mapping to tables, JSON, or XML. VelocityGraph, an open-source property graph database, can be used in conjunction the VelocityDB object data base. Object and graph database engine VelocityDB, a C#.NET NoSQL object database, can be extended to VelocityGraph. World's fastest most scalable & flexible database. A bug reported with a reproducible case is usually fixed within one week. This database system offers the greatest benefit, flexibility. You can fine-tune your application like no other database system. You can choose the most suitable data structure for your application with VelocityDB. You can choose where and how the data is indexed and accessed.

ArcadeDB allows you to manage complex models without any compromises. Polyglot Persistence is gone. There is no need to have multiple databases. ArcadeDB Multi-Model databases can store graphs and documents, key values, time series, and key values. Each model is native to the database engine so you don't need to worry about translations slowing down your computer. ArcadeDB's engine was developed with Alien Technology. It can crunch millions upon millions of records per second. ArcadeDB's traversing speed does not depend on the size of the database. It doesn't matter if your database contains a few records or a billion. ArcadeDB can be used as an embedded database on a single server. It can scale up by using Kubernetes to connect multiple servers. It is flexible enough to run on any platform that has a small footprint. Your data is protected. Our unbreakable fully transactional engine ensures durability for mission-critical production database databases. ArcadeDB uses the Raft Consensus Algorithm in order to maintain consistency across multiple servers.

Chroma is an AI-native, open-source embedding system. Chroma provides all the tools needed to embeddings. Chroma is creating the database that learns. You can pick up an issue, create PRs, or join our Discord to let the community know your ideas.

LanceDB is an open-source database for AI that is developer-friendly. LanceDB provides the best foundation for AI applications. From hyperscalable vector searches and advanced retrieval of RAG data to streaming training datasets and interactive explorations of large AI datasets. Installs in seconds, and integrates seamlessly with your existing data and AI tools. LanceDB is an embedded database with native object storage integration (think SQLite, DuckDB), which can be deployed anywhere. It scales down to zero when it's not being used. LanceDB is a powerful tool for rapid prototyping and hyper-scale production. It delivers lightning-fast performance in search, analytics, training, and multimodal AI data. Leading AI companies have indexed petabytes and billions of vectors, as well as text, images, videos, and other data, at a fraction the cost of traditional vector databases. More than just embedding. Filter, select and stream training data straight from object storage in order to keep GPU utilization at a high level.

Apache Phoenix combines the best of both worlds to enable OLTP and operational analysis in Hadoop. This allows for low-latency Hadoop applications. HBase is used as the backing store for Apache Phoenix, which combines the power of SQL and JDBC with ACID transaction support and flexibility of late bound, schema-on read capabilities from the NoSQL realm. Apache Phoenix is fully compatible with other Hadoop tools such as Spark and Hive. It also integrates with Pig, Flume and Map Reduce. Become the trusted Hadoop data platform for OLTP, operational analytics and Hadoop via well-defined APIs. Apache Phoenix compiles your SQL query into a series HBase scans and orchestrates their running to produce regular JDBC results sets. Direct use of HBase API along with coprocessors, custom filters and other tools results in performance of milliseconds or seconds for small queries.

Microsoft has worked hard on making.NET and SQL Server a strong combination, and VistaDB brings this capability into a small and easy-to-deploy packaged. VistaDB is a small, managed assembly that you can deploy with your app. Each database is a separate file. Using Xamarin you can fit a complete RDBMS onto your phone. VistaDB is a compliant ADO.NET provider of data with support for Entity Frame, ADO.NET and Typed Datasets, as well as its direct data access API to perform efficient cursor-based operations. VistaDB is compatible with a variety of third-party ORMs and reporting systems thanks to ADO.NET. VistaDB fully supports ADO.NET's provider factory model, allowing you to create a single codebase that targets VistaDB or SQL Server. Imagine all the things that are built on ADO.NET. Not just your application, but also reporting systems, ORMs and other data-driven libraries.

Perst, an object-oriented embedded database (ODBMS) from McObject, is open source and dual licensed. It is available as a Java-only embedded database and a C# version (for Microsoft's.NET Framework). Perst allows developers to store, sort and retrieve objects with minimal memory and storage overhead, while leveraging Java and C#'s object-oriented paradigm. Perst's performance advantage over Java or.NET embedded databases is evident in the TestIndex benchmarks and PolePosition benchmarks. Perst stores data in Java and.NET object, eliminating the need for translations required to store in relational or object-relational database. This increases performance at runtime. Perst is a core program that only has five thousand lines. The small footprint places minimal demands on the system resources.

Free to create, manage, query, and explore Valentina DB and SQLite databases. You can create business reports in Valentina Studio Pro, Valentina Server, or in an application using an Application Developer Kit. Standard backward engineering with forwarding engineering in Valentina Studio Pro Create diagrams from existing databases and reverse engineering. Add new objects to diagrams. SQL queries can be written with color syntax and auto-completion. Define, manage, save favorite queries; access recent queries. Each function has a function browser dictionary. Consoles for errors and warnings. Search, Export result records to CSV, JSON or Excel. Edit multiple properties at once. You can drill down to fields and tables; it is a fast way to search. Create diagrams from existing databases by reverse engineering. Diagrams can be updated with new objects. Manage privileges and users by adding and dropping users and groups.

SAP HANA is an in-memory database with high performance that accelerates data-driven decision-making and actions. It supports all workloads and provides the most advanced analytics on multi-model data on premise and in cloud.

Couchbase, unlike other NoSQL database, provides a multicloud to edge enterprise-class database that offers robust capabilities for business-critical apps on a highly available and scalable platform. Couchbase is a distributed cloud native database that runs on any cloud. It can be managed by the customer or fully managed. Couchbase is built using open standards and combines the best of NoSQL and SQL with the power and familiarity that mainframes and relational databases provide. Couchbase Server is an open-source, multipurpose distributed database. It combines the best of relational databases, such as SQL, ACID transactions, and JSON, with a foundation which is fast and scalable. It is used in many industries for things such as user profiles, dynamic catalogs, GenAI applications, vector search, caching at high speed, and more.

Neo4j's graph platform is designed to help you leverage data and data relationships. Developers can create intelligent applications that use Neo4j to traverse today's interconnected, large datasets in real-time. Neo4j's graph database is powered by a native graph storage engine and processing engine. It provides unique, actionable insights through an intuitive, flexible, and secure database.

Berkeley DB is a set of embedded key-value databases libraries that provide high-performance data management services for applications.

IBM Informix®, a fast and flexible database that can seamlessly integrate SQL, NoSQL/JSON and time series data, is available. Informix's versatility and ease-of-use make it a popular choice for a wide variety of environments, including enterprise data warehouses and individual application development. Informix is also well-suited for embedded data management solutions due to its small footprint and self-managing capabilities.

The superfast nosql database for mobile devices and iot, with integrated data sync. High-performance Objectbox runs 10x faster than other databases, improving response times and enabling real time applications. Check out our benchmarks. From sensor to server, and everything in between. We support windows, mac/ios and android. Containerized or embedded. Sync data seamlessly. Objectbox's out-of-the box synchronization makes data readily available so your app can go live faster. Offline first Create applications that can work offline and online, without the need for an internet connection. This gives you an "always on"-feeling. Save time and dev. Save time and dev. Objectbox can help you reduce time-to-market, development and lifecycle costs, and free up valuable developer time to do tasks that add value. Objectbox helps reduce cloud costs by persisting data locally (on-the edge) and syncing data faster and more efficiently.

Actian Zen is a low-maintenance, embedded database management system that is high-performance and designed for edge applications, IoT, mobile devices and IoT environments. It provides developers with flexibility when working with unstructured and structured data. Actian Zen's small footprint, scalability and high reliability make it ideal for resource-constrained settings where consistent performance and minimal administration overhead are essential. It supports real-time analytics and data processing with built-in security and a self tuning architecture without the need for constant maintenance or monitoring. Actian Zen is used by many industries, including healthcare, retail and manufacturing, in which edge computing and distributed data environments play a critical role for business operations.

One tool allows you to operationalize your embeddings. A comprehensive database that provides embedding functionality previously unavailable on multiple platforms is now available to you. Embeddinghub makes it easy to accelerate your machine learning. Embeddings are dense numerical representations of real world objects and relationships. They can be expressed as vectors. They are often created by first defining an unsupervised machine learning problem, also known as a "surrogate issue". Embeddings are intended to capture the semantics from the inputs they were derived. They can then be shared and reused for better learning across machine learning models. This is possible with Embeddinghub in an intuitive and streamlined way.

Companies need to find a way to guarantee the uninterrupted operation of their system, high-speed data processing, and reliable storage. In-memory technology has proven to be a good solution for these problems. Tarantool has helped companies around the world for more than 10 years build smart caches and data marts while saving server capacity. Reduce the cost of credentials storage compared to siloed solution and improve service and security for client applications. Reduce the costs of data management by consolidating a large number disparate systems for storing customer identities. Improve the quality and speed of customer recommendations by analyzing user data and behavior. Improve mobile and web channels by speeding up frontends in order to reduce user exit. IT systems in large organizations are operated within a closed network loop, where data is not protected.

The Mimer SQL codebase has the most advanced technology in the world. It is portable, modular, easy to maintain, and expandable. Mimer SQL knows how to get the most out of computers and operating systems. Our brand-new SQL compiler, with the latest optimization techniques, combined with a world class storage engine, and no limitations other than what the hardware imposes lays the foundation for speed and efficiency second to none. Mimer SQL's security features are constantly improved and refined. Algorithms that are time-tested, documented, and reliable cover data in use, data on the move, and data in rest. Mimer SQL is a perfect companion for a modern in-vehicle computing solution. Its performance and reliability meet the high demands of today's autonomous cars and connected cars for secure, flexible and reliable data management.