--- title: CockroachDB Reviews meta_title: 'CockroachDB Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 29 reviews by the users' company size, role or industry to find out how CockroachDB works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 29 scale: '5' date_modified: '2026-07-13' parent_category: name: Database Software url: https://www.g2.com/categories/database-software --- # CockroachDB Reviews **Vendor:** Cockroach Labs **Category:** [Relational Databases](https://www.g2.com/categories/relational-databases) **Average Rating:** 4.3/5.0 **Total Reviews:** 29 ## About 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. ## CockroachDB Pros & Cons **What users like:** - Users appreciate CockroachDB for its **ease of managing distributed SQL databases** , ensuring data safety and availability effortlessly. (4 reviews) - Users find CockroachDB to be **powerful yet simple** , with easy scalability and familiar SQL support enhancing their experience. (4 reviews) - Users highlight the **smooth performance and automatic scaling** of CockroachDB, making it easy to build resilient applications. (4 reviews) - Users value the **horizontal scalability** of CockroachDB, allowing seamless growth and efficient handling of large data volumes. (4 reviews) - Users value the **seamless handling of big data** in CockroachDB, ensuring reliability and ease of management. (3 reviews) - Flexibility (3 reviews) - High Availability (3 reviews) - Data Security (2 reviews) - Data Storage (2 reviews) - Easy Integrations (2 reviews) **What users dislike:** - Users experience a **steep learning curve** with CockroachDB, particularly in configuration and optimizing performance for beginners. (4 reviews) - Users find CockroachDB's **complexity in configuration and optimization** challenging, particularly for those new to it. (2 reviews) - Users find the **difficult learning** curve challenging, especially in understanding configuration and optimization for performance. (2 reviews) - Users find the **complex feature limitations** of CockroachDB challenging, particularly regarding configuration and support for advanced features. (2 reviews) - Users face a **steep learning curve** with CockroachDB, making configuration and optimization complex for beginners. (2 reviews) - Limited Features (2 reviews) - Beginner Unfriendliness (1 reviews) - Complex Configuration (1 reviews) - Users face **cost issues** with CockroachDB, needing to adapt to its serverless model and operational changes. (1 reviews) - Error Handling (1 reviews) ## CockroachDB Discussions - [Why is it called CockroachDB?](https://www.g2.com/discussions/why-is-it-called-cockroachdb) - [What is cockroach software?](https://www.g2.com/discussions/what-is-cockroach-software) - [What's special about CockroachDB?](https://www.g2.com/discussions/what-s-special-about-cockroachdb) - [Which of the following are features of CockroachDB?](https://www.g2.com/discussions/which-of-the-following-are-features-of-cockroachdb) - [View CockroachDB pricing details and edition comparison](https://www.g2.com/products/cockroachdb/reviews?page=3§ion=pricing&secure%5Bexpires_at%5D=2026-07-16+00%3A18%3A53+-0500&secure%5Bsession_id%5D=086151e6-04e4-41d8-a6d1-ee5483dd6803&secure%5Btoken%5D=2a23f43fe0773a045511a652f16b006b066ad74586fc520c1e635fe6751e9642&format=llm_user) ## CockroachDB Integrations - [GRPC](https://www.g2.com/products/grpc/reviews) - [Microsoft Excel](https://www.g2.com/products/microsoft-excel/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) ## CockroachDB Features **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Management ** - Data Schema - Query Language - ACID - Complaint - Data Replication **Data Indexing** - Semantic Search - Indexing Data **Configuration** - Application Performance - Orchestration - Database Monitoring - Anomaly Detection - Network Security **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Support ** - Text Search - Data Types - Languages - Operating Systems **Database Administration** - Provisioning - Governance - Auditing **Security** - Data Encryption - User Access Control **Security** - Database Locking - Access Control - Encryption - Authentication **Filters** - Accurate Search - Single Stage Filtering - Vector Database **Availability** - Scalability - Backup - Archiving - Indexing **Security** - Data Masking - Authentication And Single Sign-On - Data Anonymization **Performance ** - Disaster Recovery - Data Concurrency - Workload Management - Advanced Indexing - Query Optimizer **Data Management** - Data Replication - Advanced Data Analytics **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language ## Top CockroachDB Alternatives - [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews) - 4.5/5.0 (62 reviews) - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) - 4.5/5.0 (354 reviews) - [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) - 4.5/5.0 (849 reviews)