Dremio help us to transition from legacy to target state data lake architecture. it offers connectivity to both legacy data sources and modernised cloud native data lake on object storage. This allows us to produce insights across our whole data landscape since day 1 and plan out transition from legacy over time. Review collected by and hosted on G2.com.

Nothing major but it would be great if Dremio can offer connectors to more legacy data sources Review collected by and hosted on G2.com.

Enabling interactive speed queries on Hadoop Review collected by and hosted on G2.com.

Can be misused as a mainstream ELT tool. Review collected by and hosted on G2.com.

Upon selecting Dremio as a targeted consumption solution for our enterprise data footprint, Dremio immediately came along side our organization with their architects, designers, and client partners to understand the pending impediments. Through an arduous internal process, Dremio was able to quickly modify their platform to meet our security and compliance needs for a rapid deployment ultimately meeting out timelines. Review collected by and hosted on G2.com.

So far so good, they have been nothing but great partners. Review collected by and hosted on G2.com.

Amazing performance with Apache Arrow at its core with new enhancements actively developed with the open source community such as Gandiva for optimized execution and Flight for optimized data transfer. Project Nessie is also being worked on in the open source community to bring git-like version history to datasets. Review collected by and hosted on G2.com.

There can be better support for large datasets in the TB/PB range in terms of dataset management, with something like Iceberg support, which is in the works. Review collected by and hosted on G2.com.

What I like best about Dremio is the open source foundation and commitments to the open source community. This is most notable in the various database connector where we have the freedom to create our own or modify as needed. Review collected by and hosted on G2.com.

The limitations in connection to legacy DBs and there are limitation in maintaining sessions and passing things like "Alter" commands to source databases. This can increase development and adoption timelines. Review collected by and hosted on G2.com.

Easy to use, SQL based, No data movement, optimizing and integrate queries and/or the use of reflections for a high analyzing performance Review collected by and hosted on G2.com.

At this moment no actual issues, maybe a missing data dictionary Review collected by and hosted on G2.com.

Ability and ease to view data, especially parquet files and their data types. Review collected by and hosted on G2.com.

There is not much to dislike, the UI is great too and documentation is thorough. Review collected by and hosted on G2.com.

Dremio has a ton of support out of the box for a wide array of data sources. The professional services support is also world class. Review collected by and hosted on G2.com.

The scope of the amount of products it supports can lead to some slow problem resolutions for lesser used data source connections and edge case problems Review collected by and hosted on G2.com.

Dremio is a very simple tool to deploy and with OSS technology. We benched many solutions in order to find an performing tool that can accelerate Analytics & ML on-premise Review collected by and hosted on G2.com.

Need better integration with Analytics tools like spark (ex: native connectors...) Review collected by and hosted on G2.com.

Able to connect data from multiple sources via Native SQL. Review collected by and hosted on G2.com.

Sharding work on individual executors can be improved to keep it simple. Review collected by and hosted on G2.com.