--- title: CrateDB Reviews meta_title: 'CrateDB Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 85 reviews by the users' company size, role or industry to find out how CrateDB works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 85 scale: '5' date_modified: '2026-08-09' parent_category: name: Database Software url: https://www.g2.com/categories/database-software --- # CrateDB Reviews **Vendor:** CrateDB **Category:** [Vector Database Software](https://www.g2.com/categories/vector-database) **Average Rating:** 4.4/5.0 **Total Reviews:** 85 ## About CrateDB The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity. ## CrateDB Pros & Cons **What users like:** - Users appreciate the **ease of setup and SQL querying** , which makes CrateDB accessible and efficient for data analysis. (12 reviews) - Users value the **fast SQL queries** in CrateDB, enabling seamless streaming and processing of complex data efficiently. (11 reviews) - Users appreciate the **easy integrations** of CrateDB, facilitating seamless connections with tools for efficient data handling. (10 reviews) - Users value the **flexibility** of CrateDB, appreciating its adaptability to various data types and deployment setups. (10 reviews) - Users praise the **multi-model data support and advanced search capabilities** , finding it versatile and easy to use. (9 reviews) - Querying (8 reviews) - Users appreciate the **scalability** of CrateDB, enabling effective handling of massive datasets with speed and flexibility. (8 reviews) - SQL Support (8 reviews) - Users appreciate the **ease of integration** with existing systems, enabling smooth transitions and minimal disruption to workflows. (7 reviews) - Users praise CrateDB for its **scalability with large datasets** , ensuring efficient handling of diverse data types. (7 reviews) **What users dislike:** - Users note a **lack of features** in CrateDB, particularly in comparative insights and advanced SQL functions. (5 reviews) - Users find **software limitations** in CrateDB, including a lack of advanced features and support for complex operations. (4 reviews) - Users express concerns about the **limited features** of CrateDB, particularly regarding connectors and analytical capabilities. (3 reviews) - Users find the **poor documentation** of CrateDB lacking, especially regarding custom configurations and integrations. (3 reviews) - Users find **complex configuration** challenges in CrateDB, especially regarding Kubernetes and sharding management. (2 reviews) - Users find **insufficient training** makes CrateDB challenging to implement and utilize effectively without technical support. (2 reviews) - Users face a **steep learning curve** , especially those with limited experience in database technology, complicating implementation. (2 reviews) - Limited Community Growth (2 reviews) - Users find **poor customer support** and limited documentation, making the learning curve challenging for beginners. (2 reviews) - Poor UI (2 reviews) ## CrateDB Reviews ### 1. Fast SQL Queries with Seamless Data Streaming **Rating:** 4.5/5.0 stars **Reviewed by:** Timo T. | Agile Coach, Small-Business (50 or fewer emp.) **Reviewed Date:** December 01, 2025 **What do you like best about CrateDB?** I like the speed and native SQL interface over structured and semi‑structured data. It builds an index on the fly. It lets you stream data into the cluster, query it instantly with familiar SQL. No need for separate storage or query layers. That blend of performance, simplicity, and flexibility is what makes CrateDB stand out. **What do you dislike about CrateDB?** I haven’t worked with CrateDB myself, so take this with a grain of salt. Potential downsides may be a limited ecosystem of ready‑made connectors and admin tools and a SQL dialect that may lack advanced analytical functions. **What problems is CrateDB solving and how is that benefiting you?** I’m not handling data pipelines right now, but for my previous work with digital Rezept‑Prüfung system, CrateDB would have been useful to query massive amounts of document data fast. ### 2. Fast setup and simple UX **Rating:** 5.0/5.0 stars **Reviewed by:** Fabio Taro C. | Strategy Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** October 24, 2024 **What do you like best about CrateDB?** The onboarding process to create an account and get a cloud cluster running was very easy and fast. I also like how they use Postgresql under the hood so you dont have to learn a new language. Integratio via javascript and python with sqlalchemy makes it easy to test and deploy production applications. **What do you dislike about CrateDB?** The Admin dashboard's UI can be improved. Also, there is currently no way to control the database sharding. **What problems is CrateDB solving and how is that benefiting you?** CrateDB will play a key role in managing time series data for tracking energy consumption patterns in real-time for my Utilities client. In this use case, CrateDB allows me to store and analyze massive amounts of energy meter readings, taken at frequent intervals across various locations. Its ability to handle continuous streams of data and execute complex queries quickly ensures that I can provide real-time insights into consumption trends. This helps in optimizing energy usage, forecasting demand, and identifying inefficiencies, ultimately driving cost savings and operational improvements for the business. ### 3. CrateDB, a name that we will hear more in the future **Rating:** 4.5/5.0 stars **Reviewed by:** Hosein M. | Research Student, Small-Business (50 or fewer emp.) **Reviewed Date:** October 24, 2024 **What do you like best about CrateDB?** For me, the fact that with CrateDB, we can use SQL while having the benefits of NoSQL and VectorDBs is the best. It is so easy to use, and with their built-in functions such as 'distance' or 'knn-match,' you can enjoy the process of data analysis. Considering that you can easily integrate different types of databases and data models is something that I have never seen before. To put it in a nutshell, RESPECT! **What do you dislike about CrateDB?** We should be aware of how challenging the world of databases is, and I believe that CrateDB is just at the beginning of its journey. For me, one thing I didn't like was that it did not support using ORMs, and we had to write the queries completely as strings. So, I think if this feature, along with other features such as allowing developers to add their own add-ons and extensions, is added, CrateDB could become even better. **What problems is CrateDB solving and how is that benefiting you?** For me, the problem that CrateDB will solve is that I can combine different types of data and have them all together in one database. So, I don't have to use multiple databases, and I can easily manage my data, analyze it, and use it for further steps such as Deep Learning and Machine Learning. Another issue that CrateDB can resolve for me is its compatibility with Python, the language of AI, making it much easier to use. You don't have to switch between different languages and databases. ### 4. a DBaaS with interesting functionalities for developers **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** October 26, 2024 **What do you like best about CrateDB?** I liked the keyword search with fuzzy functionalities. I liked the interpolation in time series analysis. I liked the idea the information can be compared by mathematical vectors. I liked the traditional SQL interface. I appreciated how it is easy to do these tasks in the programmer point of view. I liked the idea of integration that this product seems to provide. **What do you dislike about CrateDB?** I understood the product was built in particular for real time data processing and for data analysis (time series) . I did not understood if it can be used for others operations the companies usually are facing. For instance reporting production that have to satisfy particular templates or to be published in a distributed environment (es. Qlik, SAS,..). Data quality activities that implies data comparing and data correction. I did not understood if the tool supports effectively the security/authorization issues that normally a big company has, for instance some office can see some data, other can not. I fear the latencies due to newtwork infrastructure. How to handle with table with 60 million records? **What problems is CrateDB solving and how is that benefiting you?** I think the possibility to handle easly the situations with incomplete data is interesting - [View CrateDB pricing details and edition comparison](https://www.g2.com/products/cratedb/reviews?filters%5Bsentiment_snippet%5D=1105982&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+20%3A53%3A59+-0500&secure%5Bsession_id%5D=51bf886f-df57-44e9-a887-6b8ab6a20e38&secure%5Btoken%5D=54573998cb668f327a544808301f8d9e6efed7fb29c49550a6b3ca9f58497bbd&format=llm_user) ## CrateDB Integrations - [AWS CloudFormation](https://www.g2.com/products/aws-aws-cloudformation/reviews) ## CrateDB Features **Data Management** - Data Model - Data Types - Built - In Search - Event Triggers - Semantic Search **Storage** - Data Model - Data Types **Data Indexing** - Semantic Search - Indexing Data **Query latency** - Lower query latency - Continuous queries **Configuration** - Application Performance - Orchestration - Database Monitoring - Anomaly Detection - Network Security **Availability** - Auto Sharding - Auto Recovery - Data Replication - Backup and Recovery - Real-Time Data **Availability** - Auto Sharding - Auto Recovery - Data Replication **Data latency** - Lower data latency - Data pipeline performance **Database Administration** - Provisioning - Governance - Auditing **Performance** - Query Optimization - Ad hoc Query **Performance** - Integrated Cache **Filters** - Accurate Search - Single Stage Filtering - Vector Database **Connectors** - Faster ingestion - Built-in connectors **Availability** - Scalability - Backup - Archiving - Indexing **Security** - Data Masking - Authentication And Single Sign-On - Data Anonymization **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Scale** - Linearly scalable database - Storage management **Data Management** - Data Replication - Advanced Data Analytics **Support** - Multi-Model - Operating Systems - BI Connectors - Data Connectors **Support** - Multi-Model - Operating Systems **Architecture** - Data security - Lockless architecture **Additional Functionality** - Database Conversion - Monitoring - Activity Dashboard - Data Extraction - Reporting/Analytics - Automatic Backup - Real-Time Monitoring - Audit Management - Data Visualization - Ad hoc Reporting - Compliance Management - Indexing - Search/Filter - Alerts/Notifications - Data Verification - Performance Testing - Data Capture and Transfer - Security Auditing - Access Controls/Permissions - Role-Based Permissions - Data Mapping - Data Retrieval - AI Copilot - Third-Party Integrations - Generative AI - Configuration Management - Audit Trail - For NoSQL Databases - Data Import/Export - Data Migration - Data Synchronization - API - Serverless Accessibility - Multiple Data Sources **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language ## Top CrateDB Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (713 reviews) - [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) - 4.5/5.0 (849 reviews) - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) - 4.3/5.0 (936 reviews)