My advice to others looking into using Imply Enterprise is that they can use it if they want to manage, centralize, and monitor creation, deployment, and 24/7 monitoring, and if they want everything in one place. I would rate this product 8.5 out of 10.
On the enterprise side, I think it is crucial to have the ability to export to S3 or object storage and to have direct query capabilities from object storage, as OLAP data warehouses need to query formats such as Parquet, Iceberg, or Delta Lake, although I understand Druid currently only supports Iceberg querying.My advice for others looking into using Imply Enterprise is to check global use cases for Druid and Imply; if you need enterprise support for Druid, contacting Imply is a good option. I have provided a comprehensive review of Imply Enterprise and would rate my overall experience a 7 out of 10.
I would recommend Imply to other users, but it also depends on the use case. You should do a proof of concept and check for QPS. For our use case, it suited well with the P99, P98, and P95 latency. It is suitable for batch OLAP use cases that have time-bound predicate clauses in the dataset. Overall, I would rate Imply an eight out of ten.
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My advice to others looking into using Imply Enterprise is that they can use it if they want to manage, centralize, and monitor creation, deployment, and 24/7 monitoring, and if they want everything in one place. I would rate this product 8.5 out of 10.
On the enterprise side, I think it is crucial to have the ability to export to S3 or object storage and to have direct query capabilities from object storage, as OLAP data warehouses need to query formats such as Parquet, Iceberg, or Delta Lake, although I understand Druid currently only supports Iceberg querying.My advice for others looking into using Imply Enterprise is to check global use cases for Druid and Imply; if you need enterprise support for Druid, contacting Imply is a good option. I have provided a comprehensive review of Imply Enterprise and would rate my overall experience a 7 out of 10.
I would recommend Imply to other users, but it also depends on the use case. You should do a proof of concept and check for QPS. For our use case, it suited well with the P99, P98, and P95 latency. It is suitable for batch OLAP use cases that have time-bound predicate clauses in the dataset. Overall, I would rate Imply an eight out of ten.