Druid gets the job done
January 08, 2024

Druid gets the job done

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Apache Druid

We use Druid for rapid ingest of a variety of data sources, including traditional databases, Kafka topics, and data stored in Hadoop. Our users enjoy the easy creation of ingest specs, and the ability to ingest only the relevant columns/fields required for their programs and queries. Being able to translate and enrich data during ingest is a huge plus.
  • Rapid ingest
  • Limiting ingest to only the relevant fields/columns
  • Easy ingest spec creation
  • Security configuration is problematic
  • Cluster management could have more features
  • Troubleshooting incomplete tasks/jobs is a chore
  • Integration with S3 storage has saved about 35% on our storage, over HDFS
  • The rapid ingest has saved user's time in the query aspects of their applications.
  • The ability to ingest from a variety of data sources has made overall user application queries much simpler

Do you think Apache Druid delivers good value for the price?

Yes

Are you happy with Apache Druid's feature set?

Yes

Did Apache Druid live up to sales and marketing promises?

Yes

Did implementation of Apache Druid go as expected?

No

Would you buy Apache Druid again?

Yes

It is extremely well suited to rapid ingest of data from large data sources, due to the fact that you can restrict what is ingested by column/field, so that you only pull in the data you actually want or need.

As stated earlier, the open source version could use better cluster management tools, and troubleshooting tools for failing jobs/tasks.