Best Open Source Databases

What are Open Source Databases?

Open Source Databases offer flexible, cost-effective solutions for data management, suitable for organizations looking to leverage community-driven innovation without vendor lock-in.

To learn more, read our Open Source Databases Buyer's Guide (Updated: November 2024).

The top 5 Open Source Database solutions are MySQL, PostgreSQL, Firebird SQL, MariaDB and MongoDB, as ranked by PeerSpot users in October 2024. MySQL received the highest rating of 8.5 among the leaders and is the most popular solution in terms of searches by peers, and Firebird SQL holds the largest mind share of 29.4%.

These databases provide the freedom to customize and modify database systems according to specific requirements, maintaining transparency and allowing quick troubleshooting and upgrading. Well-renowned options in this category include PostgreSQL, MySQL, and MongoDB, each with unique benefits and use cases.

What are the critical features of Open Source Databases?

Customization: Users have the ability to adjust code to suit specific business needs.
Scalability: These databases can handle large volumes of data seamlessly.
Community Support: A wide user base ensures constant updates and troubleshooting advice.
Cost Efficiency: Reduces the need for costly licensing fees.
Interoperability: Easily integrates with other open-source projects.

What benefits or ROI should users consider when evaluating Open Source Databases?

Lower Costs: Enjoy reduced total cost of ownership without licensing fees.
Flexibility: Modifiable source code provides tailored capabilities.
Rapid Innovation: Access to the latest advancements made by global communities.
Vendor Independence: Avoids long-term commitments to specific providers.
Enhanced Security: Transparency allows quick identification and patching of vulnerabilities.

Many industries such as finance and healthcare use Open Source Databases to power their data-critical applications, capitalizing on the reliability and extensive feature sets. These solutions support complex analytical processes in sectors like e-commerce, where rapid query responses and transaction handling are crucial.

Open Source Databases are advantageous for organizations by providing adaptable, budget-friendly data management systems that can be tailored to meet specific needs, while benefiting from active community support and ongoing development.

Buyer's Guide

Open Source Databases

November 2024

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Open Source Databases solutions mindshare

As of November 2024, in the Open Source Databases category, the mindshare of PostgreSQL is 25.6%, up from 23.6% compared to the previous year. The mindshare of Firebird SQL is 29.4%, up from 22.4% compared to the previous year. The mindshare of MySQL is 19.6%, down from 20.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases

Top Open Source Databases products

Rankings through

#1 Ranked

MySQL

MySQL is favored for small applications, data storage, financial transactions, and e-commerce portals. Companies use it for reporting, data analysis, backend operations, web applications, teaching, and cloud migration. MySQL's benefits include cost efficiency, scalability, platform compatibility, and performance. Improvements needed in clustering, replication, backups, security, and integration with other systems are noted.

8.5

Rating

147

Reviews

441

Words/ Review

18,049

Total Views

7,273

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Leader

PostgreSQL

PostgreSQL is a powerful and efficient database solution, ideal for transactional purposes and batch processing. Its superior indexing and performance advantages make it a valuable choice for organizations. The most valuable features include its ease of management, extensive range of features, and complete SQL dialects. It offers JSONB aggregators and a specific data type for optimized performance. The open-source nature, community support, and cost-effectiveness make it a reliable and flexible option for organizations.

8.4

Rating

125

Reviews

385

Words/ Review

11,006

Total Views

8,893

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Buyer's Guide

Open Source Databases

November 2024

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Leader

Firebird SQL

Firebird SQL is an open-source, cross-platform relational database management system that offers an enterprise-level database solution. The solution is designed to be highly secure, efficient, and compatible with various platforms and programming languages. Firebird can operate in both embedded and server modes.

7.9

Rating

Reviews

420

Words/ Review

11,067

Total Views

8,795

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Leader

MariaDB

MariaDB is an open source relational database created by the original founders of MySQL. It is considered one of the most popular and trusted database servers throughout the world. MariaDB is a valued component found in most cloud offerings and is the default in many Linux tools. It is also widely used by Wikipedia, WordPress, and Google, among other well-known sites. Maria DB easily melds data into concise information from a vast array of applications, such as banking, online shopping, websites, and more.

8.0

Rating

Reviews

503

Words/ Review

12,464

Total Views

4,988

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MongoDB

Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit www.mongodb.com.

8.1

Rating

Reviews

354

Words/ Review

7,303

Total Views

1,680

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EDB Postgres Advanced Server

EDB Postgres Advanced Server is a powerful and reliable database management system designed for production workloads. It offers a range of advanced features, making it an ideal choice for businesses looking to scale their operations. With support for multi-tenancy, JSONB, and production features similar to Oracle, the solution is versatile and can meet the needs of a wide range of organizations.

8.2

Rating

Reviews

422

Words/ Review

3,910

Total Views

2,012

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Oracle MySQL Cloud Service

Oracle MySQL Cloud Service delivers a secure, cost-effective and enterprise-grade MySQL database service. Built on MySQL Enterprise Edition and powered by the Oracle Cloud, it provides a simple, automated, integrated and enterprise ready MySQL cloud service, enabling organizations to increase business agility and reduce costs.

8.2

Rating

Reviews

329

Words/ Review

506

Total Views

235

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ClickHouse

ClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics.ClickHouse supports all the data sources you need to power your apps and use cases that require exceptional performance.ClickHouse uses all available system resources to their full potential to process each analytical query as fast as possible. ClickHouse runs on every environment, whether it’s on your machine or in the cloud.

8.9

Rating

Reviews

519

Words/ Review

556

Total Views

277

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SQLite

SQLite is an open-source, serverless, reliable, and flexible, SQL database engine. It is particularly favored in the realm of embedded database solutions and small to medium-sized projects. Unlike traditional database systems that operate on a client-server model, SQLite is a serverless database engine, meaning it runs directly within the application it powers. This unique architecture makes SQLite an ideal choice for applications where simplicity, efficiency, and minimal configuration are paramount.

6.8

Rating

Reviews

463

Words/ Review

1,908

Total Views

1,716

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Milvus

Milvus is a powerful platform designed to efficiently store and retrieve large-scale vectors or embeddings for a variety of applications. It has gained popularity among users for its ability to handle tasks such as similarity search, recommendation systems, image and video retrieval, and natural language processing. With its fast and accurate search capabilities, Milvus offers a reliable solution for industries across the board. Milvus also stands out for its ability to handle large-scale data. Users appreciate its scalability, which allows them to store and retrieve vectors or embeddings of any size. This flexibility makes Milvus suitable for a wide range of industries and use cases, from e-commerce to healthcare.

7.4

Rating

Reviews

472

Words/ Review

1,843

Total Views

901

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InfluxDB

InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.

8.0

Rating

Reviews

385

Words/ Review

3,968

Total Views

1,432

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Percona Server

Percona Server for MySQL is a free, fully compatible, enhanced, open source drop-in replacement for MySQL that provides good performance, scalability and instrumentation. With over 3,000,000 downloads, Percona Server for MySQL's self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability.

8.0

Rating

Reviews

884

Words/ Review

1,415

Total Views

1,309

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LanceDB

Zero management overhead, developer-friendly and open source. LanceDB is lightweight, scales from development to production and is 100x cheaper than alternatives.

9.0

Rating

Review

387

Words/ Review

1,818

Total Views

604

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Faiss

Faiss is a powerful library designed for efficient similarity search and nearest neighbor retrieval in large-scale datasets. It has gained popularity across various domains including image and text processing, recommendation systems, and natural language processing. Users have praised Faiss for its exceptional speed, scalability, and effectiveness in handling high-dimensional data. One of its key strengths is its ease of integration with different programming languages, making it accessible to a wide range of developers. Faiss also offers extensive support for various similarity measures, allowing users to customize their search algorithms. Its ability to handle large-scale datasets and its comprehensive documentation and community support are highly valued features.

8.0

Rating

Reviews

245

Words/ Review

2,522

Total Views

963

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Hortonworks Data Platform

The Hortonworks Data Platform (HDP) is widely used for managing and analyzing big data across various organizations. Key applications include optimizing data storage through its scalable structure, essential for handling significant data volumes effectively. It also enables advanced analytics by facilitating complex data processing, thereby enhancing decision-making with deeper insights. HDP excels in processing both streaming and batch data and supports the creation and management of robust data lakes, which are crucial for data governance and compliance. Key features appreciated by users include its efficient large-volume data handling and robust data processing capabilities, powered by the Hadoop ecosystem. Users also value its scalability, advanced security features ensuring data protection, and compatibility with various analytics and management tools, allowing seamless integration with existing systems.

8.3

Rating

Reviews

321

Words/ Review

481

Total Views

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OpenSearch

OpenSearch is a powerful search and data analysis tool that enhances search capabilities and improves data analysis. It is commonly used for indexing and searching large volumes of data, enabling real-time monitoring and analysis, and integrating with various applications and systems. OpenSearch is suitable for both small-scale and enterprise-level deployments, offering flexibility and scalability. Users appreciate the flexibility and scalability of OpenSearch, allowing them to easily adapt it to their specific needs. The platform's open-source nature also fosters a vibrant community and frequent updates, ensuring continuous improvement and innovation.

1,841

Total Views

842

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Qdrant

Qdrant is a powerful tool designed to efficiently organize and search large volumes of data. It is particularly useful for tasks such as data indexing, similarity search, and recommendation systems. With its fast and accurate results, Qdrant is suitable for various applications including e-commerce, content management, and data analysis. The intuitive interface and straightforward setup process are also highlighted as key advantages, making Qdrant accessible to users with varying levels of technical expertise.

1,253

Total Views

608

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YugabyteDB

YugabyteDB is a high-performance distributed SQL database for powering global, internet-scale applications. ... As a cloud native database, it can be deployed across public and private clouds as well as in Kubernetes environments with ease. YugabyteDB is developed and distributed as an Apache 2.0 open source project.

1,188

Total Views

347

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Vespa

Vespa is a versatile product that enhances search functionality and improves the performance of large-scale applications. Users have reported using Vespa for content recommendation, personalization, and real-time analytics. It is praised for its ability to handle high volumes of data and deliver fast and accurate search results. Vespa is also utilized for building intelligent applications, powering e-commerce platforms, and enabling efficient data retrieval and processing.

166

Total Views

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Marqo

Marqo is a powerful marketing campaign management and analysis tool that helps users streamline their marketing efforts and make data-driven decisions. With its user-friendly interface and seamless integration with other marketing tools, Marqo has become a go-to solution for marketers looking to optimize their campaigns. Marqo is effective in managing and analyzing marketing campaigns. Users can track campaign performance and provide in-depth insights and data analysis. This enables marketers to make informed decisions and optimize their strategies for better results.

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CrateDB

CrateDB offers real-time analytics with the ability to execute ad-hoc queries on billions of records in milliseconds, utilizing columnar storage for ultra-fast aggregations. It features hybrid search capabilities across structured, semi-structured, geospatial, and vector data, supported by a fully distributed SQL query engine built on Apache Lucene for exceptional performance and scalability. Real-time ingestion and dynamic indexing ensure immediate query availability with instant indexing and adaptability to complex data structures. CrateDB supports ultra-fast querying and search, handling complex joins, large datasets, and historical data with ease, and integrates seamlessly with AI/ML frameworks. Enhanced developer productivity is achieved through native SQL, PostgreSQL compatibility, and support for various data types, all within a single system. The open-source licensing model provides flexibility and community support, while streamlined operations offer cost efficiency, high performance, and multiple deployment models, ensuring high availability and resilience across diverse environments.

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VictoriaMetrics

VictoriaMetrics efficiently handles time-series data, making it suitable for real-time monitoring. It offers powerful query capabilities, high ingestion rates, and compact storage. Users appreciate its scalability and performance. Some reviewers suggest improving the documentation and enhancing visualization features for wider adoption.

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Tembo

Tembo is a robust tool designed to streamline operations, offering efficient solutions for managing business processes. It is known for its adaptability and comprehensive approach, making it a preferred choice for professionals seeking optimization.

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