Best Embedded Database Systems for Linux of 2025

Find and compare the best Embedded Database systems for Linux in 2025

Use the comparison tool below to compare the top Embedded Database systems for Linux on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    RaimaDB Reviews
    Top Pick See System
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    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. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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    MySQL Reviews
    MySQL stands out as the most widely used open source database globally. Thanks to its established track record in performance, dependability, and user-friendliness, it has emerged as the preferred database for web applications, powering notable platforms such as Facebook, Twitter, and YouTube, alongside the top five websites. Furthermore, MySQL is also highly favored as an embedded database solution, being distributed by numerous independent software vendors and original equipment manufacturers. Its versatility and robust features contribute to its widespread adoption across various industries.
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    eXtremeDB Reviews
    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.
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    VelocityDB Reviews

    VelocityDB

    VelocityDB

    $200 per 6 moths
    VelocityDB stands out as a unique database engine, renowned for its ability to store data more quickly and efficiently than any competing solutions while being significantly more affordable. Unlike traditional databases that rely on mapping to tables, JSON, or XML, it retains .NET objects in their native format. Complementing this is VelocityGraph, an open-source property graph database that seamlessly integrates with the VelocityDB object database. As a C# .NET noSQL object database, VelocityDB is enhanced by VelocityGraph, making it one of the fastest, most scalable, and flexible database options available today. Bugs that are reported along with reproducible test cases are typically resolved within a week, showcasing the responsiveness of the development team. The primary advantage of using this database system lies in its remarkable flexibility, enabling developers to tailor their applications to meet even the most specific requirements. With VelocityDB, you have the freedom to select the most suitable data structures for your needs, granting you control over the persistent placement of data, as well as how it is indexed and accessed. This level of customization sets VelocityDB apart in the realm of database technology.
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    ArcadeDB Reviews

    ArcadeDB

    ArcadeDB

    Free
    Effortlessly handle intricate models with ArcadeDB while ensuring no compromises are made. Say goodbye to the concept of Polyglot Persistence; there's no need to juggle multiple databases. With ArcadeDB's Multi-Model database, you can seamlessly store graphs, documents, key values, and time series data in one unified solution. As each model is inherently compatible with the database engine, you can avoid the delays caused by translation processes. Powered by advanced Alien Technology, ArcadeDB's engine can process millions of records every second. Notably, the speed of data traversal remains constant regardless of the database's size, whether it houses a handful of records or billions. ArcadeDB is versatile enough to function as an embedded database on a single server and can easily scale across multiple servers using Kubernetes. Its compact design allows it to operate on any platform while maintaining a minimal footprint. Your data's security is paramount; our robust, fully transactional engine guarantees durability for mission-critical production databases. Additionally, ArcadeDB employs a Raft Consensus Algorithm to ensure consistency and reliability across multiple servers, making it a top choice for data management. In an era where efficiency and reliability are crucial, ArcadeDB stands out as a comprehensive solution for diverse data storage needs.
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    Apache Phoenix Reviews

    Apache Phoenix

    Apache Software Foundation

    Free
    Apache Phoenix provides low-latency OLTP and operational analytics on Hadoop by merging the advantages of traditional SQL with the flexibility of NoSQL. It utilizes HBase as its underlying storage, offering full ACID transaction support alongside late-bound, schema-on-read capabilities. Fully compatible with other Hadoop ecosystem tools such as Spark, Hive, Pig, Flume, and MapReduce, it establishes itself as a reliable data platform for OLTP and operational analytics through well-defined, industry-standard APIs. When a SQL query is executed, Apache Phoenix converts it into a series of HBase scans, managing these scans to deliver standard JDBC result sets seamlessly. The framework's direct interaction with the HBase API, along with the implementation of coprocessors and custom filters, enables performance metrics that can reach milliseconds for simple queries and seconds for larger datasets containing tens of millions of rows. This efficiency positions Apache Phoenix as a formidable choice for businesses looking to enhance their data processing capabilities in a Big Data environment.
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    Perst Reviews

    Perst

    McObject

    Free
    Perst is an open source, dual-licensed object-oriented embedded database management system (ODBMS) created by McObject. It comes in two versions: one designed as an all-Java embedded database and another tailored for C# applications within the Microsoft .NET Framework. This database system enables developers to efficiently store, sort, and retrieve objects, ensuring high speed while maintaining low memory and storage requirements. By utilizing the object-oriented features of both Java and C#, Perst showcases a significant performance edge in benchmarks like TestIndex and PolePosition when compared to other embedded database solutions in Java and .NET. One of its standout capabilities is its ability to store data directly in Java and .NET objects, which eliminates the need for translation typical in relational and object-relational databases, thereby enhancing run-time performance. With a compact core comprised of only five thousand lines of code, Perst demands minimal system resources, making it an attractive option for resource-constrained environments. This efficiency not only benefits developers but also contributes to the overall responsiveness of applications utilizing the database.
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    CUBRID Reviews

    CUBRID

    CUBRID

    $0.01/one-time/user
    CUBRID is a relational database management system (DBMS) specifically designed for online transaction processing (OLTP) that adheres to ANSI SQL standards, offering features such as MVCC support, high-availability capabilities, and user-friendly GUI tools for database management and migration. Additionally, it boasts compatibility with Oracle and MySQL, and supports a range of interfaces, including JDBC. Installation is straightforward, and it includes native GUI-based administration tools to streamline the development process. CUBRID's architecture is multi-threaded and multi-server, equipped with a native broker middleware, a cost-based optimizer, and advanced caching methods to enhance OLTP performance. It also incorporates highly reliable automatic failover technology via the CUBRID Heartbeat engine core, ensuring minimal downtime. With multi-volume support and automatic volume expansion, it can handle an extensive number of databases, tables, and indexes without size limitations. Furthermore, its robust features make it suitable for dynamic and scalable applications in various industries.
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    InterSystems Caché Reviews
    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).
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    IBM Informix Reviews
    IBM Informix® is a highly adaptable and efficient database that can effortlessly combine SQL, NoSQL/JSON, as well as time series and spatial data. Its flexibility and user-friendly design position Informix as a top choice for diverse settings, ranging from large-scale enterprise data warehouses to smaller individual application development projects. Moreover, due to its compact footprint and self-managing features, Informix is particularly advantageous for embedded data management applications. The rising demand for IoT data processing necessitates strong integration and processing capabilities, which Informix fulfills with its hybrid database architecture that requires minimal administrative effort and has a small memory footprint while delivering robust functionality. Notably, Informix is well-equipped for multi-tiered architectures that necessitate processing at various levels, including devices, gateway layers, and cloud environments. Furthermore, it incorporates native encryption to safeguard data both at rest and in transit. Additionally, Informix supports a flexible schema alongside multiple APIs and configurations, making it a versatile choice for modern data management challenges.
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    Actian Zen Reviews
    Actian Zen is a compact, efficient database management system tailored for embedded use in edge applications, mobile technologies, and IoT settings. This system uniquely combines SQL and NoSQL data structures, offering developers the versatility needed to handle both structured and unstructured information. Renowned for its minimal resource requirements, scalability, and dependable performance, Actian Zen is particularly suited for environments that have limited resources and demand consistent output with low maintenance. It boasts integrated security measures and an architecture that automatically adjusts, allowing for real-time data processing and analytics while minimizing the need for continuous oversight. Its application spans various sectors, including healthcare, retail, and manufacturing, where the capacity for edge computing and managing distributed datasets is vital for operational success. As businesses increasingly rely on technology, the significance of Actian Zen in facilitating efficient data management will only grow.
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    Ditto Reviews
    Ditto is the only mobile database with built-in edge device connectivity and resiliency, enabling apps to synchronize without relying on a central server or constant cloud connectivity. With billions of edge devices and deskless workers driving operations and revenue, businesses are hitting the limits of what traditional cloud architectures can offer. Trusted by Chick-fil-A, Delta, Lufthansa, Japan Airlines, and more, Ditto is pioneering the edge-native revolution, transforming how businesses connect, sync, and operate at the edge. By eliminating hardware dependencies, Ditto’s software-driven networking is enabling businesses to build faster, more resilient systems that thrive at the edge – no Wi-Fi, servers, or cloud required. Through the use of CRDTs and P2P mesh replication, Ditto's technology enables you to build collaborative, resilient applications where data is always available and up-to-date for every user, and can even be synced in completely offline situations. This allows you to keep mission-critical systems online when it matters most. Ditto uses an edge-native architecture. Edge-native solutions are built specifically to thrive on mobile and edge devices, without relying solely on cloud-based services. Devices running Ditto apps can discover and communicate with each other directly, forming an ad-hoc mesh network rather than routing everything through a cloud server. The platform automatically handles the complexity of discovery and connectivity using both online and offline channels – Bluetooth, peer-to-peer Wi-Fi, local LAN, WiFi, Cellular – to find nearby devices and sync data changes in real-time.
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    Tarantool Reviews
    Businesses require a solution to maintain seamless operations of their systems, enhance data processing speed, and ensure storage reliability. In-memory technologies have emerged as effective tools for addressing these challenges. For over a decade, Tarantool has been assisting organizations globally in creating intelligent caches, data marts, and comprehensive client profiles while optimizing server utilization. This approach not only reduces the expenses associated with storing credentials compared to isolated solutions but also enhances both the service and security of client applications. Furthermore, it lowers the costs of data management by minimizing the number of separate systems that hold customer identities. By analyzing user behavior and data, companies can boost sales through improved speed and accuracy in recommending products or services. Additionally, enhancing the performance of mobile and web channels can significantly reduce user attrition. In the context of large organizations, IT systems often operate within a closed network loop, which poses risks as data circulates without adequate protection. Consequently, it becomes imperative for corporations to adopt robust strategies that not only safeguard their data but also ensure optimal system functionality.
  • 14
    Mimer SQL Reviews
    The Mimer SQL codebase is recognized as one of the most advanced in the industry. It boasts a modular architecture that ensures exceptional maintainability, effortless scalability, and a focus on portability. Our expertise in maximizing the capabilities of computers and operating systems is reflected in Mimer SQL. Featuring a cutting-edge SQL compiler that employs the latest optimization techniques, alongside a top-tier storage engine, it establishes a foundation for unprecedented speed and efficiency, limited only by hardware constraints. The security features of Mimer SQL are continuously enhanced, leaving no aspect overlooked. It effectively safeguards data in use, in motion, and at rest, utilizing proven, reliable, and well-documented algorithms. As a perfect partner for contemporary in-vehicle computing solutions, Mimer SQL delivers performance and reliability that meet the rigorous demands of secure, adaptable, and dependable data management in the realm of modern autonomous and connected vehicles. With its innovative design, Mimer SQL ensures that users can confidently rely on it for all their data needs.
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    ITTIA DB Reviews
    The ITTIA DB suite brings together advanced features for time series, real-time data streaming, and analytics tailored for embedded systems, ultimately streamlining development processes while minimizing expenses. With ITTIA DB IoT, users can access a compact embedded database designed for real-time operations on resource-limited 32-bit microcontrollers (MCUs), while ITTIA DB SQL serves as a robust time-series embedded database that operates efficiently on both single and multicore microprocessors (MPUs). These ITTIA DB offerings empower devices to effectively monitor, process, and retain real-time data. Additionally, the products are specifically engineered to meet the needs of Electronic Control Units (ECUs) within the automotive sector. To ensure data security, ITTIA DB incorporates comprehensive protection mechanisms against unauthorized access, leveraging encryption, authentication, and the DB SEAL feature. Furthermore, ITTIA SDL adheres to the standards set forth by IEC/ISO 62443, reinforcing its commitment to safety. By integrating ITTIA DB, developers can seamlessly collect, process, and enhance incoming real-time data streams through a specialized SDK designed for edge devices, allowing for efficient searching, filtering, joining, and aggregating of data right at the edge. This comprehensive approach not only optimizes performance but also supports the growing demand for real-time data handling in today's technology landscape.
  • 16
    SAP HANA Reviews
    SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.
  • 17
    Couchbase Reviews
    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.
  • 18
    Neo4j Reviews
    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.
  • 19
    Symas LMDB Reviews

    Symas LMDB

    Symas Corporation

    Symas LMDB is an incredibly swift and memory-efficient database that we created specifically for the OpenLDAP Project. Utilizing memory-mapped files, it achieves the read speed typical of purely in-memory databases while also providing the durability associated with traditional disk-based systems. In essence, despite its modest size of just 32KB of object code, LMDB packs a significant punch; it is indeed the perfect 32KB. The compact nature and efficiency of LMDB are integral to its remarkable capabilities. For those integrating LMDB into their applications, Symas provides fixed-price commercial support. Development is actively carried out in the mdb.master branch of the OpenLDAP Project’s git repository. Moreover, LMDB has garnered attention across numerous impressive products and publications, highlighting its versatility and effectiveness in various contexts. Its widespread recognition further cements its status as a vital tool for developers.
  • 20
    LevelDB Reviews
    LevelDB is a high-performance key-value storage library developed by Google, designed to maintain an ordered mapping between string keys and string values. The keys and values are treated as arbitrary byte arrays, and the stored data is organized in a sorted manner based on the keys. Users have the option to supply a custom comparison function to modify the default sorting behavior. The library allows for multiple changes to be grouped into a single atomic batch, ensuring data integrity during updates. Additionally, users can create a temporary snapshot for a consistent view of the data at any given moment. The library supports both forward and backward iteration through the stored data, enhancing flexibility during data access. Data is automatically compressed using the Snappy compression algorithm to optimize storage efficiency. Moreover, interactions with the external environment, such as file system operations, are managed through a virtual interface, giving users the ability to customize how the library interacts with the operating system. In practical applications, we utilize a database containing one million entries, where each entry consists of a 16-byte key and a 100-byte value. Notably, the values used in benchmarking compress to approximately half of their original size, allowing for significant space savings. We provide detailed performance metrics for sequential reads in both forward and reverse directions, as well as the effectiveness of random lookups, to showcase the library's capabilities. This comprehensive performance analysis aids developers in understanding how to optimize their use of LevelDB in various applications.
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    solidDB Reviews

    solidDB

    UNICOM Systems

    solidDB has gained global recognition for its ability to deliver data at remarkable speeds. Millions of solidDB installations can be found across telecommunications networks, enterprise applications, and embedded systems. Leading companies like Cisco, HP, Alcatel, Nokia, and Siemens depend on solidDB for their most critical applications. By storing essential data in memory instead of on traditional disk systems, solidDB outperforms standard databases significantly. This allows applications to achieve throughputs ranging from hundreds of thousands to millions of transactions per second, with response times that are measured in mere microseconds. In addition to its revolutionary performance, solidDB includes built-in features that ensure data availability, helping to maintain uptime, avert data loss, and speed up recovery processes. Furthermore, solidDB is designed to offer administrators the flexibility to customize the software to meet specific application requirements, while also including user-friendly features for easier deployment and management, which contributes to a reduction in total cost of ownership (TCO). Ultimately, the combination of high performance and adaptability makes solidDB a preferred choice in the competitive landscape of data management solutions.
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    OneStep-JV Reviews

    OneStep-JV

    Business Control Systems

    The OneStep-JV™ Point of Sale system offers a cutting-edge suite of applications tailored for retailers and distributors, integrating advanced technology for optimal performance. By utilizing the robust capabilities of Java alongside the reliability of Oracle, OneStep-JV™ provides a comprehensive point of sale solution. This system is developed in Java, with Oracle serving as its embedded database, ensuring that users experience both advanced technology and effective inventory management. The inherent flexibility of Java means that OneStep-JV™ can be deployed on everything from individual computers to extensive networks and portable devices such as Palm Tops, all while supporting various operating systems including Windows, Novell, Unix, and Linux. Moreover, the Oracle database foundation enhances the system's stability, featuring auto-recovery capabilities that ensure the integrity of the database and inventory control software, which is essential for maintaining operational continuity. Retailers and distributors can therefore trust OneStep-JV™ to deliver consistent performance and adaptability across diverse environments.
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    H2 Reviews
    Welcome to H2, a Java SQL database designed for efficient data management. In its embedded mode, an application can access the database directly within the same Java Virtual Machine (JVM) using JDBC, making it the quickest and simplest connection method available. However, a drawback of this setup is that the database can only be accessed by one virtual machine and class loader at a time. Like other modes, it accommodates both persistent and in-memory databases without restrictions on the number of simultaneous database accesses or open connections. On the other hand, the mixed mode combines features of both embedded and server modes; the initial application that connects to the database operates in embedded mode while simultaneously launching a server to enable other applications in different processes or virtual machines to access the same data concurrently. This allows local connections to maintain the high speed of the embedded mode, whereas remote connections may experience slight delays. Overall, H2 provides a flexible and robust solution for various database needs.
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