CrateDB Pros and Cons

Time series functionlity.

Supportive team from Crate.

Performance while handeling variety of data considering huge volume. Review collected by and hosted on G2.com.

Stored Procedures can be added.

Running different queries inside the console without commenting the other queries is not possible right now. Review collected by and hosted on G2.com.

CrateDB showcased their product in different usecases, their SQL queries are very advanced and can solve many problems. Review collected by and hosted on G2.com.

The downsides of using CrateDB is the same downside as another other piece of software, they have unique functionality that can't be changed fast if needed. Review collected by and hosted on G2.com.

I've been using CrateDB and am impressed with its performance and scalability. Its real-time SQL capabilities make it very easy to use and its distributed nature allows for effortless horizontal scaling. The SQL support ensures easy integration with existing workflows, and the community and support team have been very responsive. CrateDB's flexibility and ease of use have significantly enhanced the data handling capabilities for our customer and we are evaluating more use cases together. CrateDB is also a vector database, making it ideal for large language models (LLMs) and generative AI use cases, with the capability of adding context

Highly recommended for anyone in need of a robust, scalable database solution Review collected by and hosted on G2.com.

I am vey pleaesd i don't have any dislikes. Review collected by and hosted on G2.com.

Ease of use, versatility. A solid data warehousing alternative to most popular solutions. Review collected by and hosted on G2.com.

It's hard to find a fault. Maybe it being less known. Review collected by and hosted on G2.com.

CrateDB is High performance performance-distributed multimodal database. Data-driven applications in today's world require fast response times, real-time insights, and constant improvement, which can be very challenging when integrating multiple data sources and databases. CrateDB solves this problem by providing a unified representation for all types of data, enabling hyper-fast and scalable execution, and offering various deployment options. Review collected by and hosted on G2.com.

So far I haven't seen any downside. It's a multi-purpose database that can handle TSDB, Geospatial, vector for AI, etc. Review collected by and hosted on G2.com.

The extended possibilities with features like vector search in combination with other SQL criterias Review collected by and hosted on G2.com.

I do not see any issues with the knowledge I have today Review collected by and hosted on G2.com.

It is a single, standalone solution covering a wide range of our needs.

CrateDB stands its place for different database workloads, be it time-series data, document indexing, or vector search, and still, it comes with ease of use, deployment has never been so straightforward so far. Review collected by and hosted on G2.com.

No drawbacks of using CrateDB have been realized so far. Review collected by and hosted on G2.com.

Performance, UI for monitoring, easiness of integration in existing systems. Review collected by and hosted on G2.com.

Nothing to be mentioned here, it works well. Review collected by and hosted on G2.com.

Easy to use, support for vector storage, timeseries etc., a single solution for multiple problems Review collected by and hosted on G2.com.

Learning curve is a bit complex due to lack of practical examples even though the documentation is quite good. However they seem to be working on making tutorials available, so it's bound to get better Review collected by and hosted on G2.com.

I appreciate CrateDB's ability to handle massive amounts of data with ease, thanks to its distributed architecture. It scales efficiently, making it a great choice for time-series data, IoT applications, and any scenario requiring high write and read speeds. Review collected by and hosted on G2.com.

While CrateDB boasts impressive performance and scalability, its learning curve can be steep for those not already versed in distributed database management. The documentation, though extensive, sometimes lacks practical examples, making it challenging for new users to implement specific features or troubleshoot issues. Review collected by and hosted on G2.com.