As of June 2024, the most popular open-source database management system (DBMS) in the world was MySQL, with a ranking score of 1061. Oracle was the most popular commercial DBMS at that time, with a ranking score of 1244.

Open Source Database Market Outlook

The global open source database market size was valued at approximately USD 15.5 billion in 2023 and is projected to reach around USD 40.6 billion by 2032, expanding at a compound annual growth rate (CAGR) of 11.5% during the forecast period. The growth of this market is primarily driven by the increasing adoption of open-source databases by both SMEs and large enterprises due to their cost-effectiveness and flexibility.

A significant growth factor for the open source database market is the rising demand for data analytics and business intelligence across various industries. Organizations are increasingly leveraging big data to gain actionable insights, enhance decision-making processes, and improve operational efficiency. Open source databases provide the scalability and performance required to handle large volumes of data, making them an attractive option for businesses looking to maximize their data-driven strategies. Additionally, the continuous advancements and contributions from the open-source community help in keeping these databases at the cutting edge of technology.

Another driving factor is the cost-efficiency associated with open-source databases. Unlike proprietary databases, which can be expensive due to licensing fees, open-source databases are usually free to use, offering a significant cost advantage. This factor is especially crucial for small and medium enterprises (SMEs), which often operate with limited budgets. The lower total cost of ownership, combined with the flexibility to customize the database according to specific needs, makes open-source solutions highly appealing for businesses of all sizes.

The increasing trend of digital transformation is also playing a crucial role in the growth of the open source database market. As businesses across various sectors accelerate their digital initiatives, the need for robust, scalable, and efficient data management solutions becomes paramount. Open-source databases provide the agility and innovation that organizations require to keep up with the rapidly changing digital landscape. Moreover, the support for cloud deployment further enhances their appeal, providing businesses with the scalability and flexibility needed to adapt to evolving technological demands.

From a regional perspective, North America holds a significant share in the open source database market, driven by the presence of major technology companies and a highly developed IT infrastructure. The region's focus on technological innovation and early adoption of advanced technologies contributes to its dominant position. Europe follows closely, with increasing investments in digital transformation initiatives. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by rapid technological advancements, a burgeoning IT sector, and increased adoption of open-source solutions by businesses.

Relational Databases Software plays a crucial role in the open-source database market, offering structured data management solutions that are essential for various business applications. These databases are known for their ability to handle complex queries and transactions, making them ideal for industries that require high levels of data integrity and consistency. The flexibility and robustness of relational databases software allow organizations to efficiently manage large volumes of structured data, which is critical for applications such as financial systems, enterprise resource planning, and customer relationship management. As businesses continue to prioritize data-driven decision-making, the demand for relational databases software is expected to grow, further driving the expansion of the open-source database market.

Database Type Analysis

The open source database market is segmented into SQL, NoSQL, and NewSQL databases. SQL databases are the most widely used and have been the backbone of data management for decades. They offer robust transaction management and are ideal for structured data storage and retrieval. The ongoing improvements in SQL databases, such as enhanced performance and security features, continue to make them a preferred choice for many organizations. Additionally, the availability of various SQL-based open-source solutions like MySQL, PostgreSQL, and MariaDB provides organizations with reliable options to manage their data effectively.

NoSQL databases are gainin

The size and share of this market is categorized based on Relational Databases (MySQL, PostgreSQL, MariaDB, SQLite, Firebird) and NoSQL Databases (MongoDB, Cassandra, Redis, CouchDB, HBase) and NewSQL Databases (CockroachDB, VoltDB, NuoDB, Google Spanner, MemSQL) and geographical regions (North America, Europe, Asia-Pacific, South America, Middle-East and Africa).

Open-Source Database Software Market size was valued at USD 10.00 Billion in 2024 and is projected to reach USD 35.83 Billion by 2032, growing at a CAGR of 20% during the forecast period 2026-2032.

Global Open-Source Database Software Market Drivers

The market drivers for the Open-Source Database Software Market can be influenced by various factors. These may include:

Cost-Effectiveness: Compared to proprietary systems, open-source databases frequently have lower initial expenses, which attracts organizations—especially startups and small to medium-sized enterprises (SMEs) with tight budgets. Flexibility and Customisation: Open-source databases provide more possibilities for customization and flexibility, enabling businesses to modify the database to suit their unique needs and grow as necessary. Collaboration and Community Support: Active developer communities that share best practices, support, and contribute to the continued development of open-source databases are beneficial. This cooperative setting can promote quicker problem solving and innovation. Performance and Scalability: A lot of open-source databases are made to scale horizontally across several nodes, which helps businesses manage expanding data volumes and keep up performance levels as their requirements change. Data Security and Sovereignty: Open-source databases provide businesses more control over their data and allow them to decide where to store and use it, which helps to allay worries about compliance and data sovereignty. Furthermore, open-source code openness can improve security by making it simpler to find and fix problems. Compatibility with Contemporary Technologies: Open-source databases are well-suited for contemporary application development and deployment techniques like microservices, containers, and cloud-native architectures since they frequently support a broad range of programming languages, frameworks, and platforms. Growing Cloud Computing Adoption: Open-source databases offer a flexible and affordable solution for managing data in cloud environments, whether through self-managed deployments or via managed database services provided by cloud providers. This is because more and more organizations are moving their workloads to the cloud. Escalating Need for Real-Time Insights and Analytics: Organizations are increasingly adopting open-source databases with integrated analytics capabilities, like NoSQL and NewSQL databases, as a means of instantly obtaining actionable insights from their data.

Open-Source Database Software Market Outlook

The global open-source database software market size was estimated at USD 12.3 billion in 2023 and is projected to reach USD 33.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.8% during the forecast period. The growth factors propelling this market include the increasing adoption of open-source solutions due to cost-efficiency, flexibility, and scalability, alongside the rising volume of data generated by enterprises globally.

One of the primary growth drivers for the open-source database software market is the increasing adoption of big data analytics. Organizations across various sectors are harnessing the power of data to drive decision-making processes, optimize operations, and improve customer experiences. Open-source databases offer the flexibility and scalability required to handle vast amounts of data, making them an ideal choice for companies looking to leverage big data. Moreover, the integration of advanced technologies like artificial intelligence and machine learning with database management systems is further boosting the adoption of open-source databases.

Another significant factor contributing to the market growth is the cost-effectiveness of open-source database solutions. Traditional proprietary database systems often come with high licensing fees and maintenance costs, which can be a significant burden for small and medium-sized enterprises (SMEs). Open-source databases, on the other hand, eliminate these costs, providing a budget-friendly alternative without compromising on functionality. This cost advantage is particularly appealing to startups and SMEs, driving widespread adoption across these segments.

The growing emphasis on data security and privacy is also fueling the demand for open-source database software. With increasing instances of data breaches and stringent regulatory requirements, organizations are prioritizing robust data security measures. Open-source databases offer transparency, allowing organizations to inspect the source code and ensure there are no hidden vulnerabilities. Additionally, the active community support and frequent updates associated with open-source projects contribute to enhanced security, making them a preferred choice for businesses aiming to protect sensitive data.

Regionally, the Asia Pacific region is expected to witness the highest growth in the open-source database software market. The rapid digital transformation across industries, coupled with the increasing adoption of cloud-based solutions, is driving the demand for open-source databases in this region. Countries like China, India, and Japan are leading the charge, with numerous startups and tech companies leveraging open-source technologies to gain a competitive edge. Moreover, government initiatives promoting digitalization and data-driven decision-making are further accelerating the market growth in the Asia Pacific.

Database Type Analysis

The open-source database software market can be segmented by database type into SQL, NoSQL, and NewSQL. SQL databases, known for their structured query language, have traditionally been the backbone for relational database management systems. Despite the emergence of new database types, SQL databases continue to hold a significant market share due to their robustness, reliability, and widespread adoption across various industries. Enterprises rely on SQL databases for critical applications that require ACID (atomicity, consistency, isolation, durability) compliance and complex transactional processes.

NoSQL databases have gained significant traction in recent years, driven by the need to handle unstructured and semi-structured data. These databases offer high scalability and flexibility, making them ideal for applications involving big data, real-time analytics, and internet of things (IoT) deployments. NoSQL databases, such as MongoDB and Cassandra, allow organizations to store and process large volumes of data with ease, enabling faster data retrieval and improved performance. The increasing adoption of web applications and the growing popularity of cloud computing are further propelling the demand for NoSQL databases.

NewSQL databases represent a hybrid approach, combining the benefits of traditional SQL databases with the scalability and flexibility of NoSQL solutions. These databases are designed to address the limitations of both SQL and NoSQL databases, providing high performance, scalability, and transactional consistency. NewSQL databases, such as CockroachDB and VoltDB, are gaining populari

The size and share of the market is categorized based on Type (SQL, No SQL) and Application (Internet, Government, Financial, Research and Education, Other) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

As of November 2023, commercial database management systems (DBMSs) are slightly less popular than open source DBMSs, however, both have accumulated similar amounts of ranking scores. The most popular DBMS in the world was Oracle, a commercial system; open source system MySQL and Microsoft SQL server, another commercial system, rounded out the top three.

The global open-source database software market size was valued at USD 34.52 billion in 2025 and is expected to expand at a compound annual growth rate (CAGR) of 18.7% from 2025 to 2033, reaching USD 188.42 billion by 2033. The growing adoption of cloud-based solutions, the increasing need for data management and analytics, and the rising popularity of open-source software are key factors driving the market's growth. The cloud-based segment held the largest market share in 2025 and is expected to continue its dominance during the forecast period. The on-premises segment is expected to witness a steady growth rate due to the need for on-premise data storage and management in various industries. The large enterprise segment is expected to hold a significant market share due to the increasing adoption of open-source database software by large enterprises to manage their vast amounts of data. The small and medium-sized enterprises (SMEs) segment is also expected to grow at a significant rate as SMEs increasingly adopt open-source database software to improve their data management capabilities and reduce costs. Key players in the market include MySQL, Redis, MongoDB, Couchbase, Apache Hive, MariaDB, Neo4j, SQLite, Titan, and others.

The global open source database market size was valued at USD X.X million in 2025 and is projected to expand at a compound annual growth rate (CAGR) of XX% from 2025 to 2033, driven by the increasing adoption of cloud-based solutions, big data analytics, and the need for cost-effective database solutions. Key market drivers include the rising demand for real-time data processing, the growing adoption of agile development methodologies, and the increasing popularity of open source software. The market is segmented by type (SQL, NoSQL), application (Internet, Government, Financial, Research and Education, Other), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Geographically, North America is expected to hold the largest market share due to the presence of major technology companies and the early adoption of open source databases. Asia Pacific is projected to witness the fastest growth due to the growing demand for data analytics and the increasing number of startups in the region. Major players in the open source database market include Vmware, Huawei, Google, IBM, OmniSci, The PostgreSQL Global Development Group, Amazon Web Services, Inc., Oracle, Cockroach Labs, Neo4j, Inc., Apache, Couchbase, Inc.

The open-source database market is experiencing robust growth, driven by increasing demand for flexible, cost-effective, and scalable data management solutions. The market's expansion is fueled by the rising adoption of cloud-native architectures, the need for enhanced data analytics capabilities, and the growing preference for customizable database systems. Key players like VMware, Huawei, Google, IBM, and Amazon Web Services are actively contributing to this growth through their offerings and investments in open-source technologies. The market is segmented by database type (e.g., relational, NoSQL, graph), deployment model (cloud, on-premise), and industry vertical. While precise market sizing data is unavailable, a reasonable estimate based on the involvement of major tech giants and observed growth in related sectors suggests a 2025 market value of approximately $15 billion, growing at a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This growth is expected to continue, driven by factors such as increasing data volumes, the rise of big data analytics, and the growing preference for agile development methodologies. Companies are increasingly adopting open-source databases to reduce licensing costs, improve customization options, and benefit from a vibrant community supporting continuous development and enhancement. The competitive landscape is highly fragmented, with numerous established players and emerging startups vying for market share. The continuous innovation in open-source database technologies, including advancements in performance, scalability, and security, are further fueling market expansion. However, challenges remain, including concerns about security, support, and the integration complexities inherent in diverse open-source solutions. Nonetheless, the overall market trajectory points toward sustained growth, with substantial opportunities for both established vendors and new entrants specializing in niche areas like graph databases or specific cloud platforms. The forecast period (2025-2033) projects substantial market expansion, driven by the continuous evolution of the technology and the increasing adoption across various industries.

The global Open Source Time Series Database (TSDB) market size was valued at USD 447.17 million in 2025 and is projected to reach USD 1,922.95 million by 2033, growing at a CAGR of 19.9% from 2025 to 2033. The growing adoption of IoT devices, the increasing need for real-time data analysis, and the rise of the Industrial Internet of Things (IIoT) are driving the growth of the Open Source TSDB market. Cloud-based TSDBs are expected to witness the fastest growth during the forecast period due to their scalability, cost-effectiveness, and ease of use. IoT industry is the largest application segment, and the financial industry is expected to witness the fastest growth during the forecast period. North America held the largest market share in 2025, and Asia Pacific is expected to register the highest CAGR during the forecast period. The key players in the Open Source TSDB market include InfluxData, Timescale, Prometheus, OpenTSDB, VictoriaMetrics, and QuestDB.

Open Source Database Software Market Outlook

The global open source database software market size was valued at approximately USD 11.5 billion in 2023 and is projected to reach an impressive USD 26.8 billion by 2032, growing at a robust CAGR of 9.5% during the forecast period. The exponential growth in this market is attributed to the increasing adoption of cloud-based solutions, surge in enterprise data volume, and the rising demand for cost-effective database management solutions. Organizations across various sectors are increasingly opting for open source database software due to its flexibility, scalability, and ability to handle large volumes of data.

One of the primary growth factors driving the open source database software market is the significant cost savings associated with open source solutions compared to proprietary alternatives. Businesses are continually seeking ways to reduce their IT expenses without compromising on performance and security. Open source database software offers a compelling alternative by eliminating licensing fees and enabling organizations to allocate resources more efficiently. Additionally, the collaborative nature of open source communities fosters continuous improvement and innovation, further enhancing the software's capabilities and reliability.

Another critical growth factor is the accelerating adoption of cloud computing. As more organizations migrate their workloads to the cloud, the demand for cloud-compatible database solutions has surged. Open source database software can be easily integrated with various cloud platforms, providing businesses with the flexibility to scale their operations seamlessly. The cloud-based deployment model also offers benefits such as improved accessibility, reduced infrastructure costs, and enhanced disaster recovery capabilities, making it an attractive option for enterprises of all sizes.

The proliferation of big data and the Internet of Things (IoT) is also contributing significantly to the market's growth. The massive volumes of data generated by IoT devices and other sources require advanced database solutions capable of handling real-time data processing and analytics. Open source database software, with its robust performance and scalability, is well-suited to meet these demands. The ability to customize and extend open source solutions allows organizations to tailor their database infrastructure to specific use cases, further driving adoption across various industries.

Regional outlook for the open source database software market indicates that North America holds the largest market share, driven by the presence of major technology companies and early adoption of advanced IT infrastructure. Europe and Asia Pacific are also significant markets, with the latter expected to witness the highest growth rate during the forecast period. The rapid digitalization of businesses in countries like China and India, coupled with increasing investments in IT infrastructure, is bolstering the market's expansion in the Asia Pacific region.

The emergence of SQL In Memory Database technology is revolutionizing the way organizations handle data-intensive applications. By storing data in the main memory rather than on traditional disk storage, these databases offer significantly faster data retrieval speeds and improved performance. This technology is particularly beneficial for applications requiring real-time analytics and rapid transaction processing, such as financial services, online gaming, and e-commerce. The ability to process large volumes of data with minimal latency is a key advantage, enabling businesses to make quicker and more informed decisions. As the demand for high-performance data solutions grows, SQL In Memory Databases are becoming an integral part of the database landscape, providing the speed and efficiency needed to meet modern business demands.

Database Type Analysis

The open source database software market is segmented into SQL, NoSQL, and NewSQL databases. SQL databases, despite being the oldest form of database management systems, continue to dominate the market due to their robustness, reliability, and widespread adoption. SQL databases are favored for transaction-oriented applications and are commonly used in industries such as banking, finance, and retail. Their ability to handle complex queries, maintain data integrity, and support ACID (Atomicity, Consistency, Isolation, Durability) properties makes them indispensable for criti

Shared database of videos featuring juvenile and adult male rats and adult male mice exploring stationary objects.This dataset includes wide variety of experimental conditions including genetic, pharmacological, and sensory deprivation interventions to explore how active sensing behavior is modulated by different factors. Database of high speed videos of whisking behavior in freely moving rodents.Open source high speed infrared videography database to study principles of active sensing in freely navigating rodents.

As of June 2024, the most popular database management system (DBMS) worldwide was Oracle, with a ranking score of 1244.08; MySQL and Microsoft SQL server rounded out the top three. Although the database management industry contains some of the largest companies in the tech industry, such as Microsoft, Oracle and IBM, a number of free and open-source DBMSs such as PostgreSQL and MariaDB remain competitive. Database Management Systems As the name implies, DBMSs provide a platform through which developers can organize, update, and control large databases. Given the business world’s growing focus on big data and data analytics, knowledge of SQL programming languages has become an important asset for software developers around the world, and database management skills are seen as highly desirable. In addition to providing developers with the tools needed to operate databases, DBMS are also integral to the way that consumers access information through applications, which further illustrates the importance of the software.

This is a dataset of Vulnerabilities identified in Open-Source Software and reported to National Vulnerability Database (NVD) since January 1, 2010.

Data is updated automatically every month on the first day.

You can use this dataset for performing data analysis and predicting the vulnerability type based on the descriptions provided, making it an ideal project for beginners and intermediates in NLP.

Common Terminologies 1. CVE: Common Vulnerability Enumeration - A unique identifier for all the vulnerabilities reported to NVD. 2. CWE: Common Weakness Enumeration - A unique identifier for all the types of vulnerabilities that can exist in the source code. [For example, CWE-120 stands for Buffer Overflow] For the entire list of CWEs, visit https://cwe.mitre.org/data/index.html 3. CPE: Common Platform Enumeration - https://en.wikipedia.org/wiki/Common_Platform_Enumeration gives a better explanation.

View the code used to generate the dataset on Github

The open-source database solution market is experiencing robust growth, driven by increasing demand for flexible, cost-effective, and scalable database management systems. The market's expansion is fueled by the rising adoption of cloud computing, particularly hybrid and public cloud deployments, across both large enterprises and SMEs. Organizations are increasingly drawn to the agility and customization offered by open-source solutions, allowing them to tailor database systems to specific needs and avoid vendor lock-in. This trend is further amplified by the burgeoning adoption of big data analytics and the need for robust, scalable solutions to manage rapidly expanding datasets. The market segmentation, with a strong presence in North America and Europe, shows a significant contribution from large enterprises leveraging these solutions for critical applications, but the growth from SMEs adopting open-source options is a significant emerging market driver. Key players like AWS, Microsoft, Google, and others contribute to the ecosystem's maturity and accessibility, expanding the range of supported programming languages and platforms. While security concerns and the need for skilled personnel to manage these systems remain potential restraints, the overall trend shows consistent and substantial market growth. Continued innovation in areas such as distributed databases, NoSQL solutions, and improved security features are further propelling market expansion. The competitive landscape is dynamic, with established players and emerging innovative companies vying for market share. Geographically, North America and Europe currently hold a substantial market share, but rapidly growing adoption rates in Asia-Pacific and other regions indicate significant future potential. The forecast for the next decade suggests sustained growth, driven by the ongoing shift towards digital transformation and the increasing reliance on data-driven decision-making across various industries. The balance between cost-effectiveness, flexibility, and enhanced security offered by open-source solutions strongly positions them for continuous market dominance in the years to come.

The size and share of this market is categorized based on Relational Databases (MySQL, PostgreSQL, MariaDB, SQLite, CockroachDB) and NoSQL Databases (MongoDB, Cassandra, CouchDB, Redis, Neo4j) and NewSQL Databases (Google Spanner, VoltDB, NuoDB, MemSQL, CockroachDB) and geographical regions (North America, Europe, Asia-Pacific, South America, Middle-East and Africa).

The traditional on-premise deployment was still the most popular deployment model for open source database management systems (DBMSs) as of 2020, with a share of 51 percent. Another 45 percent of DBMSs ran on public cloud at that time.

These data provide locational and attribute information for places for places nominated to and included in the National Heritage List as determined by the Australian Government managed by the Department of Climate Change, Energy, the Environment and Water. National Heritage List polygons with attribute information describing the place name, class (indigenous, natural, historic), and status. Places subject to confidentiality agreements are included in these data but the location is generalised to the bounding 100k mapsheet. The location data for place nominations that have been rejected, are ineligible, removed or destroyed are not included in the publicly downloadable spatial dataset.

The global Data Base Management Systems market was valued at USD 50.5 billion in 2022 and is projected to reach USD 120.6 Billion by 2030, registering a CAGR of 11.5 % for the forecast period 2023-2030. Factors Affecting Data Base Management Systems Market Growth

Growing inclination of organizations towards adoption of advanced technologies like cloud-based technology favours the growth of global DBMS market

The cloud-based data base management system solutions offer the organizations with an ability to scale their database infrastructure up or down as per requirement. In a crucial business environment data volume can vary over time. Here, the cloud allows organizations to allocate resources in a dynamic and systematic manner, thereby, ensuring optimal performance without underutilization. In addition, these cloud-based solutions are cost-efficient. As, these cloud-based DBMS solutions eliminate the need for companies to maintain and invest in physical infrastructure and hardware. It helps in reducing ongoing operational costs and upfront capital expenditures. Organizations can choose pay-as-you-go pricing models, where they need to pay only for the resources they consume. Therefore, it has been a cost-efficient option for both smaller businesses and large-enterprises. Moreover, the cloud-based data base management system platforms usually come with management tools which streamline administrative tasks such as backup, provisioning, recovery, and monitoring. It allows IT teams to concentrate on more of strategic tasks rather than routine maintenance activities, thereby, enhancing operational efficiency. Whereas, these cloud-based data base management systems allow users to remote access and collaboration among teams, irrespective of their physical locations. Thus, in regards with today's work environment, which focuses on distributed and remote workforces. These cloud-based DBMS solution enables to access data and update in real-time through authorized personnel, allowing collaboration and better decision-making. Thus, owing to all the above factors, the rising adoption of advanced technologies like cloud-based DBMS is favouring the market growth.

Availability of open-source solutions is likely to restrain the global data base management systems market growth

Open-source data base management system solutions such as PostgreSQL, MongoDB, and MySQL, offer strong functionality at minimal or no licensing costs. It makes open-source solutions an attractive option for companies, especially start-ups or smaller businesses with limited budgets. As these open-source solutions offer similar capabilities to various commercial DBMS offerings, various organizations may opt for this solutions in order to save costs. The open-source solutions may benefit from active developer communities which contribute to their development, enhancement, and maintenance. This type of collaborative environment supports continuous innovation and improvement, which results into solutions that are slightly competitive with commercial offerings in terms of performance and features. Thus, the open-source solutions create competition for commercial DBMS market, they thrive in the market by offering unique value propositions, addressing needs of organizations which prioritize professional support, seamless integration into complex IT ecosystems, and advanced features. Introduction of Data Base Management Systems

A Database Management System (DBMS) is a software which is specifically designed to organize and manage data in a structured manner. This system allows users to create, modify, and query a database, and also manage the security and access controls for that particular database. The DBMS offers tools for creating and modifying data models, that define the structure and relationships of data in a database. This system is also responsible for storing and retrieving data from the database, and also provide several methods for searching and querying the data. The data base management system also offers mechanisms to control concurrent access to the database, in order to ensure that number of users may access the data. The DBMS provides tools to enforce security constraints and data integrity, such as the constraints on the value of data and access controls that restricts who can access the data. The data base management system also provides mechanisms for recovering and backing up the data when a system failure occurs....