DevOps Cloud and Data Senior Consultant at a outsourcing company with 51-200 employees
Real User
Top 10
Jan 5, 2026
At my previous company, which was a security analytics tool, my main use case for CrateDB was to ingest any kind of logs from email, applications, firewalls, DNS, Microsoft, and other technology tools. We used to ingest logs, which are small text files with information of what occurred, and after a process of going through a Kafka queue, they would be stored in CrateDB as a long-term storage option. Later, we would retrieve this data to look for anomalies in a UI-based platform. CrateDB fit well into our pipeline and use cases in general terms. In some situations where the customer was very big or the data volume was huge, there might be a little delay because we were using CrateDB installed by us in AWS servers. Sometimes those servers were not powerful enough, so there was some delay, but after restarting it, all worked pretty well and I think it was a great solution for our use case. CrateDB positively impacted my organization by reducing the time needed for processes. Sometimes with other data tools, like Snowflake, it would take a long time to store and retrieve all the logs quickly. Its scalability was also impressive, as it was easy to start with one server and then horizontally scale to multiple nodes to retrieve data. These aspects stood out for our use case and helped my company gain more customers during my time there.
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At my previous company, which was a security analytics tool, my main use case for CrateDB was to ingest any kind of logs from email, applications, firewalls, DNS, Microsoft, and other technology tools. We used to ingest logs, which are small text files with information of what occurred, and after a process of going through a Kafka queue, they would be stored in CrateDB as a long-term storage option. Later, we would retrieve this data to look for anomalies in a UI-based platform. CrateDB fit well into our pipeline and use cases in general terms. In some situations where the customer was very big or the data volume was huge, there might be a little delay because we were using CrateDB installed by us in AWS servers. Sometimes those servers were not powerful enough, so there was some delay, but after restarting it, all worked pretty well and I think it was a great solution for our use case. CrateDB positively impacted my organization by reducing the time needed for processes. Sometimes with other data tools, like Snowflake, it would take a long time to store and retrieve all the logs quickly. Its scalability was also impressive, as it was easy to start with one server and then horizontally scale to multiple nodes to retrieve data. These aspects stood out for our use case and helped my company gain more customers during my time there.