Best Relational Databases with Open source Capabilities

How Many Relational Databases Products Does G2 Track?

Total Products under this Category: 184

Category Stats (Oct 2026)

  • Average Rating: 4.27/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ER/Studio (+1.88%) - Among all products in this category, ER/Studio recorded the largest rating increase compared to last month

Last updated: October 23, 2026

How Does G2 Rank Relational Databases Products?

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G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Relational Databases

G2 Grid® for Relational Databases plotting products by satisfaction and market presence

Highlighted products: Microsoft SQL Server, Oracle Database, Supabase, Google Cloud SQL, SAP HANA Cloud, Amazon Relational Database Service (RDS), MySQL, and EDB Postgres AI Database.

Underlying data: [Grid® JSON](https://www.g2.com/categories/relational-databases/grids.json?focus%5B%5D=microsoft-sql-server&focus%5B%5D=oracle-database&focus%5B%5D=supabase-supabase&focus%5B%5D=google-cloud-sql&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=amazon-relational-database-service-rds&focus%5B%5D=mysql&focus%5B%5D=edb-postgres-ai-database)

Amazon Relational Database Service (RDS)

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call. In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production databases. Amazon RDS for MySQL also enables you to scale out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.

Average Rating: 4.5/5.0

Total Reviews: 864

How Do G2 Users Rate Amazon Relational Database Service (RDS)?

  • Ease of Use: 8.8/10 (Category avg: 8.5/10)
  • Workload Management: 8.7/10 (Category avg: 8.3/10)
  • Data Schema: 8.8/10 (Category avg: 8.6/10)
  • Query Language: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind Amazon Relational Database Service (RDS)?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148,266 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Who Uses This: DevOps Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Medium, 34% Large

What Do G2 Reviewers Say About Amazon Relational Database Service (RDS)?

AI-generated summary from verified user reviews

Pros
  • Users find Amazon RDS to be extremely easy to use, streamlining deployment and saving valuable setup time.
  • Users appreciate the effortless scalability of Amazon RDS, enhancing application performance during unexpected traffic spikes.
  • Users find RDS to be very secure and reliable, alleviating concerns about data loss and downtime.
  • Users appreciate the easy setup of Amazon RDS, enabling quick deployment and hassle-free management for their applications.
  • Users appreciate the automated backup services of Amazon RDS, allowing them to focus on application development without data loss worries.
Cons
  • Users find the cost of Amazon RDS quite high, especially with charges accruing for unused instances.
  • Users note that cost issues can escalate quickly, with unexpected charges making budgeting challenging.
  • Users experience limited control over configurations in Amazon RDS, restricting customization and flexibility for their projects.
  • Users find the complex naming conventions in AWS services frustrating, making it hard for newcomers to navigate.
  • Users find Amazon RDS to have limited customization, restricting advanced configurations for more complex needs.

What Are Recent G2 Reviews of Amazon Relational Database Service (RDS)?

What Are G2 Users Discussing About Amazon Relational Database Service (RDS)?

MySQL

MySQL is the world's most popular open-source database, renowned for its reliability, performance, and ease of use. It serves as the backbone for many high-profile web applications, including those of Facebook, Twitter, and YouTube. MySQL offers a comprehensive suite of features that cater to the needs of modern web, mobile, embedded, and cloud applications. Key Features and Functionality: - Transactional Data Dictionary: Implemented as a set of SQL tables stored in a single InnoDB tablespace, enhancing data management efficiency. - Common Table Expressions (CTEs): Also known as WITH queries, CTEs simplify complex queries and improve readability. - Window Functions: These functions reduce code complexity and boost developer productivity by allowing calculations across sets of table rows related to the current row. - Invisible Indexes: Facilitate better management of software upgrades and database changes for applications that require continuous operation. - Descending Indexes: Eliminate the need for sorting results, leading to performance improvements. - JSON Support: Includes the JSON_TABLE() function, which accepts JSON data and returns it as a relational table, enhancing flexibility in data handling. - Document Store: Allows the development of both SQL and NoSQL document applications using a single database, providing versatility in application design. - SQL Roles: Simplify permission management by granting and denying permissions to groups of users, thereby reducing the security workload. - OpenSSL Integration: Utilizes OpenSSL as the default TLS/SSL library, ensuring secure data transmission. - Default to utf8mb4 Character Set: Supports richer mobile applications and international character sets, accommodating a global user base. - Geographic Information System (GIS) Enhancements: Supports geography and Spatial Reference Systems (SRS), enabling advanced spatial data analysis. - InnoDB Cluster: Provides improved high availability through integrated solutions. - InnoDB ClusterSet: Offers cross-region disaster recovery capabilities, ensuring data resilience. - Replication: Provides flexible topologies for scale-out and high availability, enhancing system robustness. - Reliability: Requires minimal intervention to achieve continuous uptime, ensuring consistent performance. - Partitioning: Improves performance and management of very large database environments by dividing tables into smaller, more manageable pieces. - ACID Transactions: Ensures reliable and secure business-critical applications by supporting Atomicity, Consistency, Isolation, and Durability. - Stored Procedures and Triggers: Enhance developer productivity and enforce complex business rules at the database level. - Views: Ensure sensitive information is not compromised by providing controlled access to data. - Ease of Use: Offers a "3 minutes from download to development" installation and configuration process, facilitating quick deployment. - Low Administration: Requires very little database maintenance, reducing operational overhead. Primary Value and User Solutions: MySQL delivers a robust, scalable, and secure database solution that addresses the needs of developers and enterprises alike. Its comprehensive feature set supports the development of high-performance applications across various platforms, including web, mobile, embedded, and cloud environments. By offering advanced functionalities such as ACID compliance, high availability, and flexible replication, MySQL ensures data integrity and reliability. Its ease of use and low administrative requirements enable organizations to reduce operational costs and accelerate time-to-market for their applications. Furthermore, MySQL's support for modern development practices, including JSON and NoSQL capabilities, allows developers to build versatile and future-proof applications.

Average Rating: 4.4/5.0

Total Reviews: 1,586

How Do G2 Users Rate MySQL?

  • Ease of Use: 8.7/10 (Category avg: 8.5/10)
  • Workload Management: 8.5/10 (Category avg: 8.3/10)
  • Data Schema: 9.1/10 (Category avg: 8.6/10)
  • Query Language: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind MySQL?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 37% Small, 33% Large

What Do G2 Reviewers Say About MySQL?

AI-generated summary from verified user reviews

Pros
  • Users find MySQL to be easy to use, enhancing their experience with straightforward setup and functionality.
  • Users appreciate MySQL for its reliability, ensuring data consistency and efficiency for various projects and datasets.
  • Users appreciate the easy integrations of MySQL, enhancing its versatility for a variety of projects.
  • Users praise MySQL for its exceptional performance, ensuring fast queries and robust scalability for various projects.
  • Users appreciate the impressive querying and indexing capabilities of MySQL, enhancing their database management efficiency.
Cons
  • Users note the feature limitations of MySQL, particularly for complex data types and high-demand analytics.
  • Users find limited database support in MySQL, particularly in complex queries and advanced analytical features.
  • Users encounter performance issues with MySQL in large-scale analytics, complex joins, and heavy write operations.
  • Users experience slow performance in MySQL, particularly with large datasets and complex queries that hinder efficiency.
  • Users experience scaling issues with MySQL, finding it complex to handle large databases and integrate advanced features.

What Are Recent G2 Reviews of MySQL?

What Are G2 Users Discussing About MySQL?

PostgreSQL

PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently.

Average Rating: 4.4/5.0

Total Reviews: 650

How Do G2 Users Rate PostgreSQL?

  • Ease of Use: 8.5/10 (Category avg: 8.5/10)
  • Workload Management: 8.7/10 (Category avg: 8.3/10)
  • Data Schema: 9.1/10 (Category avg: 8.6/10)
  • Query Language: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind PostgreSQL?

  • Seller: PostgreSQL
  • HQ Location: United States
  • Twitter: @postgresql
    56,876 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    93 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 36% Small, 35% Medium

What Do G2 Reviewers Say About PostgreSQL?

AI-generated summary from verified user reviews

Pros
  • Users highlight the reliability and extensive feature set of PostgreSQL, appreciating its robust data integrity and ease of use.
  • Users find PostgreSQL to be easy to use, with straightforward setup and excellent integration across platforms.
  • Users value PostgreSQL for its open-source flexibility and reliability, making it an ideal choice for diverse projects.
  • Users highlight the reliability and data integrity of PostgreSQL, consistently trusting it for their production environments.
  • Users value the scalability of PostgreSQL, finding it easy to adapt from small applications to large systems.
Cons
  • Users find PostgreSQL's beginner unfriendliness challenging, facing a steep learning curve and complex configurations.
  • Users find the complexity of PostgreSQL's SQL syntax and management tasks to be challenging compared to simpler databases.
  • Users find the learning curve steep, with complexities in configuration and concepts challenging newcomers to PostgreSQL.
  • Users face slow performance with large databases and complex queries, requiring careful indexing for better efficiency.
  • Users find the complex configuration of PostgreSQL challenging, particularly for performance tuning and replication management.

What Are Recent G2 Reviews of PostgreSQL?

What Are G2 Users Discussing About PostgreSQL?

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YugabyteDB

YugabyteDB is AI-ready, turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more! YugabyteDB eliminates the tradeoffs you get with legacy databases by uniquely combining enterprise-grade RDBMS capabilities with the horizontal scalability and resilience of cloud native architectures. YugabyteDB delivers a single logical database that can span across any cloud (private, public or hybrid). Industry-leading companies including Kroger, GM, Rakuten, Fiserv and Wells Fargo rely on YugabyteDB for mission-critical transactional applications. PostgreSQL Compatibility: YugabyteDB is more than just wire compatible with PostgreSQL, it is code compatible. YugabyteDB achieves this by reusing PostgreSQL’s query layer to achieve a high degree of compatibility with existing PostgreSQL applications or those that can be migrated to PostgreSQL. Developers can be immediately productive with the ecosystem of PostgreSQL-compatible frameworks, applications, drivers, and tools. Advanced Relational Database Capabilities: YugabyteDB delivers a comprehensive set of advanced RDBMS features like triggers, functions, stored procedures, strong secondary indexes, and distributed ACID transactions. This means that developers don't need to choose between the horizontal scalability of NoSQL systems and the ACID guarantees of traditional SQL systems. Resilience and High Availability: With YugabyteDB, critical services remain available during node, zone, region, and data center failures with fast failovers. YugabyteDB heals itself by re-replicating data automatically, and delivers zero downtime on maintenance tasks such as software upgrades, security patching, and distributed backups. Horizontal Scalability: Operations teams can effortlessly scale out even under heavy load without disruption or downtime by simply adding nodes to their YugabyteDB cluster. The database automatically rebalances load to use available resources. YugabyteDB’s shared nothing architecture is designed with no single point of failure or bottleneck. Geographic Distribution: YugabyteDB offers the most comprehensive and flexible deployment options in geo-distributed environments. Operators can make use of synchronous and asynchronous data replication and geo-partitioning to achieve desired consistency, resilience, performance, and compliance objectives. Security: YugabyteDB is built from the ground up with data security in mind. The database enables organizations to maintain a robust security posture with built-in controls such as LDAP authentication, role-based access control (RBAC), data encryption at rest and in transit (TLS), audit logging, and column-level permissions. Advanced features such as row level security (RLS) and column-level encryption are available for more advanced use cases. YugabyteDB is 100% open source, so download and start using the full set of features for free. You can also choose a flexible cloud DBaaS consumption option based on your needs: 1. YugabyteDB Aeon: Start with a free trial and enjoy a fully-managed DBaaS service that allows you to leave the day 2 operations and management work to YugabyteDB. 2. YugabyteDB Anywhere: Deploy a self-managed DBaaS in your environment with built-in automation to deploy, scale, and monitor YugabyteDB clusters at scale. YugabyteDB Voyager is an end-to-end modernization tool that can accelerate your cloud native adoption by simplifying the migration of both schema and data from databases including Oracle, PostgreSQL, MySQL, Aurora PostgreSQL, Azure SQL for PostgreSQL, and more. Learn more about YugabyteDB: https://www.yugabyte.com/ Sign up for YugabyteDB Aeon for free: https://cloud.yugabyte.com/

Average Rating: 4.5/5.0

Total Reviews: 62

How Do G2 Users Rate YugabyteDB?

  • Ease of Use: 9.0/10 (Category avg: 8.5/10)
  • Workload Management: 8.1/10 (Category avg: 8.3/10)
  • Data Schema: 8.6/10 (Category avg: 8.6/10)
  • Query Language: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind YugabyteDB?

  • Seller: Yugabyte, Inc.
  • Company Website:
  • Year Founded: 2016
  • HQ Location: Sunnyvale, CA
  • Twitter: @Yugabyte
    9,272 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    497 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Computer Software
  • Company Size: 45% Medium, 40% Small

What Do G2 Reviewers Say About YugabyteDB?

AI-generated summary from verified user reviews

Pros
  • Users value the easy scalability of YugabyteDB, allowing seamless expansion without significant downtime or complexity.
  • Users find YugabyteDB to be a highly reliable database, ensuring data safety and seamless operation even under stress.
  • Users value the high availability of YugabyteDB, enabling seamless operation and confidence in critical workloads.
  • Users appreciate the high availability of YugabyteDB, ensuring minimal downtime and supporting critical workloads effectively.
  • Users value the high performance and scalability of YugabyteDB, enabling efficient handling of increasing transaction volumes effortlessly.
Cons
  • Users find the operational complexity of YugabyteDB challenging, especially regarding multi-region management and advanced features.
  • Users note a steep learning curve with YugabyteDB, especially related to cluster setup and operational management.
  • Users find the complex setup of YugabyteDB challenging initially, requiring significant hands-on work compared to simpler databases.
  • Users find the setup and configuration complex, especially when managing distributed clusters compared to simpler systems.
  • Users experience slow performance with YugabyteDB, especially during complex queries and under heavy loads.

What Are Recent G2 Reviews of YugabyteDB?

SAP Adaptive Server Enterprise (ASE)

With SAP® Adaptive Server® Enterprise (SAP ASE), you can handle massive volumes of data and thousands of concurrent users to accelerate the growth of new data-driven business applications. Drive value with a faster, more efficient transactional system that is designed to meet the demands of the digital economy.

Average Rating: 4.1/5.0

Total Reviews: 36

How Do G2 Users Rate SAP Adaptive Server Enterprise (ASE)?

  • Ease of Use: 7.7/10 (Category avg: 8.5/10)
  • Workload Management: 8.7/10 (Category avg: 8.3/10)
  • Data Schema: 8.2/10 (Category avg: 8.6/10)
  • Query Language: 8.6/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP Adaptive Server Enterprise (ASE)?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 41% Large, 32% Medium

What Are Recent G2 Reviews of SAP Adaptive Server Enterprise (ASE)?

What Are G2 Users Discussing About SAP Adaptive Server Enterprise (ASE)?

SQLite

SQLite is a C-language library that provides a self-contained, serverless, and zero-configuration SQL database engine. Renowned for its small footprint and high reliability, SQLite is the most widely deployed database engine globally, embedded in billions of devices and applications. Its cross-platform database file format ensures seamless data transfer across different systems, making it a preferred choice for developers seeking an efficient and dependable database solution. Key Features and Functionality: - Self-Contained and Serverless: Operates without a separate server process, reading and writing directly to disk files. - Zero-Configuration: Requires no setup or administration, facilitating easy integration into applications. - Full-Featured SQL Implementation: Supports advanced capabilities like partial indexes, indexes on expressions, JSON, common table expressions, and window functions. - Single-File Database: Stores the entire database, including multiple tables, indices, triggers, and views, in a single cross-platform disk file. - Scalability: Handles databases up to 281 terabytes and supports row sizes up to 1 gigabyte. - Compact Size: With all features enabled, the library size can be less than 900KiB, depending on the target platform and compiler optimization settings. - High Performance: In some cases, SQLite is faster than direct filesystem I/O. - Cross-Platform Compatibility: Supports various operating systems, including Android, iOS, Linux, Mac, and Windows. - Public Domain Source Code: The source code is in the public domain, allowing free use for any purpose. Primary Value and User Solutions: SQLite offers a lightweight, reliable, and easy-to-use database solution that eliminates the complexities associated with traditional database management systems. Its serverless architecture and zero-configuration setup make it ideal for applications where simplicity and efficiency are paramount. By storing data in a single file, SQLite simplifies data management and portability, addressing the needs of developers and organizations seeking a robust database engine without the overhead of a full-fledged RDBMS.

Average Rating: 4.3/5.0

Total Reviews: 253

How Do G2 Users Rate SQLite?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 8.1/10 (Category avg: 8.3/10)
  • Data Schema: 8.9/10 (Category avg: 8.6/10)
  • Query Language: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind SQLite?

  • Seller: SQLite
  • HQ Location: San Francisco, California
  • Twitter: @planetsqlite
    647 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Small, 32% Large

What Do G2 Reviewers Say About SQLite?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the setup ease of SQLite, enjoying its lightweight nature and quick connections for mobile apps.
  • Users appreciate the ease of use of SQLite, finding it fast and lightweight for mobile app development.
  • Users appreciate the impressive management ease of SQLite, which simplifies database handling and enhances efficiency.
  • Users value the speed and lightweight nature of SQLite, enhancing efficiency in mobile app development.
  • Users admire the impressive user interface and management system of SQLite, enhancing their overall experience.
Cons
  • Users find SQLite's difficult learning curve due to lack of built-in user accounts and handling high traffic poorly.
  • Users find feature limitations in SQLite affect administrative capabilities, hindering effective database management and control.
  • Users find the limited database support of SQLite inconvenient for high traffic and lacking built-in user account features.

What Are Recent G2 Reviews of SQLite?

What Are G2 Users Discussing About SQLite?

MariaDB

MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing applications. MariaDB uses pluggable, purpose-built storage engines to support workloads that previously required a variety of specialized databases. With complexity and constraints eliminated, enterprises can now depend on a single complete database for all their needs, whether on commodity hardware or their cloud of choice. Deployed in minutes for transactional or analytical use cases, MariaDB delivers unmatched operational agility without sacrificing key enterprise features including real ACID compliance and full SQL. Trusted by organizations such as Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens – MariaDB meets the same core requirements as proprietary databases at a fraction of the cost. No wonder it’s the fastest growing open source database. Real business relies on MariaDB™.

Average Rating: 4.4/5.0

Total Reviews: 219

How Do G2 Users Rate MariaDB?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 8.4/10 (Category avg: 8.3/10)
  • Data Schema: 9.2/10 (Category avg: 8.6/10)
  • Query Language: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind MariaDB?

  • Seller: MariaDB
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Espoo, Finland
  • Twitter: @mariadb
    452,246 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    400 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 43% Small, 33% Medium

What Do G2 Reviewers Say About MariaDB?

AI-generated summary from verified user reviews

Pros
  • Users find MariaDB to be easy to use, enhancing integration with various platforms and overall performance.
  • Users appreciate the easy integrations of MariaDB, allowing seamless connectivity with different platforms and systems.
  • Users value the easy backup capabilities of MariaDB, enhancing their data management and security processes seamlessly.
  • Users value the superior execution speed of MariaDB, especially when compared to MySQL, enhancing overall efficiency.
  • Users value the cost efficiency of MariaDB, enjoying its free access and high-performance features.
Cons
  • Users find MariaDB's beginner unfriendliness challenging initially due to its CLI interface, but improve with daily use.
  • Users struggle with connectivity issues in MariaDB, often facing integration failures without clear bug identification.
  • New users often face difficult learning curves with MariaDB's CLI, impacting their initial experience despite its eventual usability.
  • Users experience integration failures in MariaDB, often unable to diagnose the underlying issues effectively.
  • Users note feature limitations and initial discomfort with CLI, but find it better with daily use.

What Are Recent G2 Reviews of MariaDB?

What Are G2 Users Discussing About MariaDB?

CockroachDB

Overview Cockroach Labs is the creator of CockroachDB, the cloud-native, resilient, distributed SQL database enterprises worldwide trust to run mission-critical AI and other applications that scale fast, avert and survive disaster, and thrive everywhere. It runs on the Big 3 clouds, on prem, and in hybrid configurations powering Fortune 500, Forbes Global 2000, and Inc. 5000 brands, and game-changing innovators, including OpenAI, CoreWeave, Adobe, NETFLIX, Booking.com, DoorDash, FANDUEL, Cisco Systems, P&G, UiPath, FORTINET, Roblox, EA, BestBuy, SpaceX, NVIDIA, The VA, Squarespace, The Home Depot, and Hewlett Packard Enterprise. Cockroach Labs has customers in 40+ countries across all world regions, 25+ verticals, and 50+ Use Cases. Cockroach Labs operates its own ISV Partner Ecosystem powering Payments, Identity Management (IDM/IAM), Banking & Wallet, Trading, and other high-demand use cases. Cockroach Labs is an AWS Partner of the Year finalist and has achieved AWS Competency Partner certifications in Data & Analytics and Financial Services (FSI). CockroachDB pricing is available at https://www.cockroachlabs.com/pricing/ Vector, RAG, and GenAI Workloads CockroachDB includes native support for the VECTOR data type and pgvector API compatibility, enabling storage and retrieval of high-dimensional embeddings. These vector capabilities are critical for Retrieval-Augmented Generation (RAG) pipelines and GenAI workloads that rely on similarity search and contextual embeddings. By supporting distributed vector indexing within the database itself, CockroachDB removes the need for external vector stores and allows AI applications to operate against a single, consistent data layer. C-SPANN Distributed Indexing At the core of CockroachDB’s vector search capabilities is the C-SPANN indexing engine. C-SPANN provides scalable approximate nearest neighbor (ANN) search across billions of vectors while supporting incremental updates, real-time writes, and partitioned indexing. This ensures low-latency retrieval in the tens of milliseconds, even under high query throughput. The algorithm eliminates central coordinators, avoids large in-memory structures, and leverages CockroachDB’s sharding and replication to deliver scale, resilience, and global consistency. Machine Learning and Apache Spark Integration CockroachDB integrates with modern ML workflows by supporting embeddings generated through frameworks such as AWS Bedrock and Google Vertex AI. Its compatibility with the PostgreSQL JDBC driver allows seamless integration with Apache Spark, enabling distributed processing and advanced analytics on CockroachDB data. PostgreSQL Compatibility and JSON Support CockroachDB speaks the PostgreSQL wire protocol, so applications, drivers, and tools designed to work with Postgres can connect to CockroachDB without modification, enabling seamless use of familiar SQL features and integration with the wider Postgres ecosystem. This includes support for advanced data types such as JSON and JSONB, which allow developers to store and query semi-structured data natively. Geospatial and Graph Capabilities CockroachDB also provides first-class geospatial data support, allowing developers to store, query, and analyze spatial data directly in SQL. For graph workloads, CockroachDB employs JSON flexibility to represent relationships and delivers query capabilities for graph-like traversals. This combination enables hybrid applications that merge relational, geospatial, document, and graph data within a single platform. Analytics, BI, and Integration To support high-performance analytics and BI, CockroachDB supports core analytical use cases and functions including Enterprise Data Warehouse, Lakehouse, and Event Analytics, and offers materialized views for precomputing complex joins and aggregations. Its PostgreSQL wire compatibility ensures direct connectivity with all relevant BI and analytics apps and tools including Amazon Redshift, Snowflake, Kafka, Google BigQuery, Salesforce Tableau, Databricks, Cognos, Looker, Grafana, Power BI, Qlik Sense, SAP, SAS, Sisense, and TIBCO Spotfire. Data scientists can interact with CockroachDB through Jupyter Notebooks, querying structured and semi-structured data and loading results for analysis. Change data capture (CDC) streams provide real-time updates to analytics pipelines and feature stores, keeping downstream systems fresh and reliable. Columnar vectorized execution accelerates query processing, optimizes transactional throughput, and minimizes latency for demanding distributed workloads. MOLT AI-Powered Migration Organizations often know their data infrastructure is not supporting the business, but find it too painful to change. CockroachDB’s MOLT (Migrate Off Legacy Technology) is designed to enable safe, minimal-downtime database migrations from legacy systems to CockroachDB. MOLT Fetch supports data migration from PostgreSQL, MySQL, SQL Server, and Oracle, with SQL Server and DB2 coming soon. CockroachDB also has a portfolio of data replication platform integrations including Precisely, Striim, Qlik, Confluent, IBM, etc. Together, these capabilities ensure that CockroachDB supports both operational and analytical workloads, bridging traditional SQL applications with emerging Gen AI and ML use cases.

Average Rating: 4.3/5.0

Total Reviews: 27

How Do G2 Users Rate CockroachDB?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 8.1/10 (Category avg: 8.3/10)
  • Data Schema: 8.1/10 (Category avg: 8.6/10)
  • Query Language: 8.1/10 (Category avg: 8.6/10)

Who Is the Company Behind CockroachDB?

  • Seller: Cockroach Labs
  • Year Founded: 2015
  • HQ Location: New York, NY
  • Twitter: @CockroachDB
    13,571 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    724 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 55% Small, 34% Medium

What Do G2 Reviewers Say About CockroachDB?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of management and reliability of CockroachDB, enabling them to focus on development without disruptions.
  • Users value the ease of use of CockroachDB, enjoying its straightforward SQL implementation and seamless scalability.
  • Users highlight CockroachDB's seamless performance and automatic scalability, ensuring reliable data management without operational headaches.
  • Users appreciate the scalability of CockroachDB, enabling seamless management of distributed databases across multiple locations.
  • Users value the automatic scaling and reliability of CockroachDB, making big data management effortless and efficient.
Cons
  • Users find the learning curve steep for CockroachDB, especially regarding configuration and understanding its unique operational aspects.
  • Users find CockroachDB's setup and configuration to have a steep complexity for beginners, impacting overall user experience.
  • Users find the difficult learning curve of CockroachDB challenging, especially for beginners trying to optimize configuration.
  • Users face feature limitations in CockroachDB due to a steep learning curve and less mature advanced functionalities.
  • Users note the complexity and steep learning curve of CockroachDB, which may hinder optimal configuration and understanding.

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What Are G2 Users Discussing About CockroachDB?

Apache Derby

Apache Derby is a relational database management system developed by the Apache Software Foundation that can be embedded in Java programs and used for online transaction processing.

Average Rating: 3.8/5.0

Total Reviews: 23

How Do G2 Users Rate Apache Derby?

  • Ease of Use: 8.6/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 8.3/10 (Category avg: 8.6/10)
  • Query Language: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Apache Derby?

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 39% Small, 30% Large

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What Are G2 Users Discussing About Apache Derby?

Citus Data

Citus Data horizontally scales PostgreSQL, taking relational power further for real-time data.

Average Rating: 4.3/5.0

Total Reviews: 10

How Do G2 Users Rate Citus Data?

  • Ease of Use: 7.9/10 (Category avg: 8.5/10)
  • Workload Management: 8.7/10 (Category avg: 8.3/10)
  • Data Schema: 7.7/10 (Category avg: 8.6/10)
  • Query Language: 8.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Citus Data?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 70% Large, 20% Medium

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Firebird

Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms.

Average Rating: 4.1/5.0

Total Reviews: 22

How Do G2 Users Rate Firebird?

  • Ease of Use: 9.1/10 (Category avg: 8.5/10)
  • Workload Management: 7.7/10 (Category avg: 8.3/10)
  • Data Schema: 8.8/10 (Category avg: 8.6/10)
  • Query Language: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Firebird?

Who Uses This Product?

  • Company Size: 71% Small, 29% Medium

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PrestoDB

Distributed SQL Query Engine for Big Data

Average Rating: 4.1/5.0

Total Reviews: 14

How Do G2 Users Rate PrestoDB?

  • Ease of Use: 8.2/10 (Category avg: 8.5/10)
  • Workload Management: 8.6/10 (Category avg: 8.3/10)
  • Data Schema: 8.8/10 (Category avg: 8.6/10)
  • Query Language: 7.6/10 (Category avg: 8.6/10)

Who Is the Company Behind PrestoDB?

  • Seller: PrestoDB
  • Year Founded: 2019
  • HQ Location: San Francisco, California
  • Twitter: @prestodb
    4,137 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 29% Small

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What Are G2 Users Discussing About PrestoDB?

Aiven for PostgreSQL

Aiven for PostgreSQL is a fully managed, scalable PostgreSQL service. It is full-featured, and backed by a 99.99% SLA. You can launch a fully operational PostgreSQL cluster in the cloud and region of your choice in minutes - using the Aiven web console or programmatically via Aiven’s API, CLI, Terraform provider or Kubernetes operator. You'll have access to premium features, such as Point in Time Restore, database forking, connection pooling, and more. And you can use over 70 PostgreSQL extensions. With Aiven for PostgreSQL, you don’t need to worry about taking backups or applying maintenance updates. All this is done automatically - with no downtime. You can upgrade to a new version, increase the storage of your cluster, expand to new regions or migrate to a different cloud, with a click of a mouse. Data is encrypted at rest and in transit, and clusters are always run on dedicated virtual machines. The service is ISO27001, SOC 2, HIPAA, GDPR, CCPA and PCI/DSS compliant.

Average Rating: 4.3/5.0

Total Reviews: 78

How Do G2 Users Rate Aiven for PostgreSQL?

  • Ease of Use: 8.9/10 (Category avg: 8.5/10)
  • Workload Management: 9.2/10 (Category avg: 8.3/10)
  • Data Schema: 8.3/10 (Category avg: 8.6/10)
  • Query Language: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Aiven for PostgreSQL?

  • Seller: Aiven
  • Year Founded: 2016
  • HQ Location: Helsinki, Southern Finland
  • Twitter: @aiven_io
    4,104 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    476 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CTO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 67% Small, 27% Medium

What Do G2 Reviewers Say About Aiven for PostgreSQL?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Aiven for PostgreSQL, facilitating quick setups and seamless migrations.
  • Users highlight the exceptional customer support from Aiven, ensuring smooth database migration and quick issue resolution.
  • Users find Aiven for PostgreSQL to have an effortless setup process, making it ideal for quick deployments.
  • Users value the seamless application development with Aiven for PostgreSQL, focusing on creativity rather than database management.
  • Users find the deployment ease of Aiven for PostgreSQL remarkable, allowing quick migrations and seamless scaling.
Cons
  • Users find Aiven for PostgreSQL to be expensive, raising concerns about its pricing compared to competitors.
  • Users feel that the pricing can be high for Aiven for PostgreSQL, adding costs to their management efforts.
  • Users face poor customer support, often feeling pressure to upgrade and lacking effective ticketing systems.
  • Users believe there is still room for improvement in service limitations regarding customization and high availability options.
  • Users find the licensing costs to be expensive, especially for the management layer of Aiven for PostgreSQL.

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Druid

Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale. It is downloadable for free for unlimited use from druid.apache.org and also hosted in the cloud by Imply Data.

Average Rating: 4.3/5.0

Total Reviews: 28

How Do G2 Users Rate Druid?

  • Ease of Use: 8.0/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 8.3/10 (Category avg: 8.6/10)
  • Query Language: 6.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Druid?

  • Seller: Druid
  • Year Founded: 1998
  • HQ Location: Rio de Janeiro, Rio de Janeiro
  • Twitter: @druid
    4 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 52% Large, 29% Medium

What Are Recent G2 Reviews of Druid?

What Are G2 Users Discussing About Druid?

CitrusDB

CitrusDB is a massively scalable PostgreSQL database for real-time applications.

Average Rating: 4.2/5.0

Total Reviews: 7

How Do G2 Users Rate CitrusDB?

  • Ease of Use: 9.0/10 (Category avg: 8.5/10)
  • Workload Management: 8.3/10 (Category avg: 8.3/10)
  • Data Schema: 9.2/10 (Category avg: 8.6/10)
  • Query Language: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind CitrusDB?

Who Uses This Product?

  • Company Size: 43% Medium, 29% Large

What Are Recent G2 Reviews of CitrusDB?

What Are G2 Users Discussing About CitrusDB?