cratedb can manage a large volume of data, analysing of the data are made easy using cratedb. It suports real-time data processing, so that we can query and view the data easily. Cratedb is desgined with high reliability and availability for handling enormous data. Review collected by and hosted on G2.com.

need for more video tutorials and examples for beginners to learn. Review collected by and hosted on G2.com.

CrateDB gives me an option to handling large amounts of time series data and other structured data efficiently. The integration of this tools is quite easy to your production line. It also comes with pretty basic example of hands on experience in using this integrated tools. Review collected by and hosted on G2.com.

I think for those who has limited experience with database will require longer learning curve. The tutor was great, however I hope the after sales service would go along with it. Review collected by and hosted on G2.com.

The ability to adjust to the requirements of new solutions driven by generative and native AI and machine learning. Review collected by and hosted on G2.com.

That it is a very robust tool that would be misused on small projects. Review collected by and hosted on G2.com.

To store and access different kinds of data such as Geospatial, vector, time-series, JSON data etc. Can able to store large amount of data. And ease of access for JSON object, Array kind of data. Review collected by and hosted on G2.com.

Document need to be improved and more training need to be added. Review collected by and hosted on G2.com.

The thing I like the best about CrateDB is the usage of the "Dynamic column" option which makes it eaiser to implemenent the dynamic column import. While creating table for my data this option helped me to migrate all the columns from excel to database without any declaration of each and every column. I also loved the design of the Admin UI which has an option to query single table data with "just a click of a button".

Furthermore, the experience of Customer Support was also based on one on one meeting with the technical manager, which helped me a lot in solving technical difficulties more precisely.

There are multiple python libraries out there which supports the integration of the crateDB with my script.

Finally, I use this product daily and for data pipelining, and I would like to recommend this product to all the people out there.

Just try it once! Review collected by and hosted on G2.com.

There is nothing so far to dislike about CrateDB. Review collected by and hosted on G2.com.

1.- High performance and scalability for processing large amounts of real-time data

2.- Native integration with SQL, which simplifies complex queries and advanced analysis

3.- Geospatial indexing and similarity search Review collected by and hosted on G2.com.

Less support and documentation compared to more popular solutions Review collected by and hosted on G2.com.

A very good blend between SQL, NoSQL, Lucene, Vector, timeseries DB etc all under one roof. Performance is also fenomenal and it supports ANSI SQL Review collected by and hosted on G2.com.

of course there are a few compromises when trying to use such a broad spectrum of technologies, but they are pretty minor when copared to the advantages Review collected by and hosted on G2.com.

Cratedb is a NoSQL database so it is useful in handling large data such as vector data, geo location data, time series data analytics and real time data analytics. Review collected by and hosted on G2.com.

Kubernetes support needs to be improved. Review collected by and hosted on G2.com.

CrateDB excels at performing fast SQL queries on large datasets, making it ideal for applications that need to process high-frequency data streams. Review collected by and hosted on G2.com.

The CrateDB documentation doesn't fully cover the custom configurations for Kubernetes clusters when using the Helm chart for self management. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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? Review collected by and hosted on G2.com.