The best thing about Dremio is that it's very easy to use from the start. And then the more you work with it, the more you discover, you see that it's also really powerful as a query engine, as a data catalog, and as a query accelerator.

Beyond the software itself, the company is very cool. The people are very smart, knowledgeable, and always helpful. Review collected by and hosted on G2.com.

I think there's room for improvement in surfacing error messages to users. Review collected by and hosted on G2.com.

I like how easy it is to get the data ready w/o going through the ETL/ELT process. Review collected by and hosted on G2.com.

They don't have their own BI too. You have to connect to the 3rd party tools. Review collected by and hosted on G2.com.

Lightning-fast query speeds, ability to easily work with data lakes Review collected by and hosted on G2.com.

Intermittent issues, needs to be tested on a wider range of datasets Review collected by and hosted on G2.com.

-Convenient web interface for running SQL queries on our data

-Supports a broad range of data source

-Processing for queries is extremely fast when accelerated (rarely over 1 second)

-Python API is fairly easy to use

-Prompt and knowledgeable support team that are always willing to walk us through problems over video call Review collected by and hosted on G2.com.

It's hard to say, because most/all of the problems that we've had with Dremio are likely because we're several versions behind due to compatibility problems with some of our legacy infrastructure. eg. missing features that exist in newer versions, or instability problems with reflections that are probably remedied in newer versions. That's on us, though. Review collected by and hosted on G2.com.

Dremio managed to provide a wide range of existing analysis tools with universal, fast and direct access to the data in a data lake. The time required to provide data and the IT footprint is reduced to a minimum. Intelligent options for caching query results and entire aggregates in memory for specific analysis scenarios makes working with these two tools a pleasure. Review collected by and hosted on G2.com.

Currently there is no managed service on the Microsoft Azure platform, which makes deployment difficult. However, Dremio is working hard on this issue. Review collected by and hosted on G2.com.

Dremio is a powerful solution to connect your applications and BI tools to your data lake. They are very innovative and fast-paced to deliver new features and enhancements. The professional support team is very helpful and tries to understand the customer needs to deliver the best value. The variety of connectors available for the different data sources is really amazing as well the possibility to easily create custom connectors. The fact that the company contributes back to the community developing or open-sourcing tools is really nice. Review collected by and hosted on G2.com.

I believe Dremio's weakness is related to CI/CD because there is a couple of libraries, articles and even an open-sourced tool (which is great) to achieve it but it's still very hard and complex to have full automation. As I mentioned before, Dremio is very innovative and fast-paced, so, I believe they will address soon. One missing feature is the native support for Databricks Delta format but as far as I know it's on the roadmap and there is a workaround to be able to work with Delta. Another missing feature is the multi-master solution, it would be very helpful mainly when doing maintenances on the coordinator. Last but not least, it would be good to have the capability to use groups even when not integrated with an AD, LDAP, etc. Review collected by and hosted on G2.com.

Dremio helps us a lot to manage a high workloads from our reportnig systems and achieve a fast response time for more then 500 management dashboards. Many of our end-users like work with Dremio to avoid additional Data Engineering skills in team. For some of them it was surprisely fast after changing the Reporting from "Import" to "live" connection to move data processing directly to Dremio. But the most demanded feature was Reflections which gave sometimes lightning-fast (less then 1 second) response time without any re-engineering of business logic or reducing the data volumes.

In case of any issues and challenges Dremio was very cooperative on Germany and global level to solve it. Review collected by and hosted on G2.com.

As Dremio do not implemented Elastic Engine on Azure we need to maintain Kubernetes cluster to reach out needed ad-hoc scale-out requirements. Review collected by and hosted on G2.com.

Dremio offers amazing SQL performance for our Cloud Data Lake

The UI is intuitive and offers some nice data preparation capabilities

Dremio's data strategy aligns with ours

Arrow Flight will offer a step-change in capability Review collected by and hosted on G2.com.

Dremio's user documentation is lagging behind their capabilities

Dremio has some hard limits on the numbers of columns and fields that need to be raised to cover all use cases Review collected by and hosted on G2.com.

It is fast, easy to use, has a great community, and very powerful in terms of what it delivers, namely data aggregation, access, and usage for analytics. Review collected by and hosted on G2.com.

Dremio can appear to have a steep learning curve, but it isn't so bad. Review collected by and hosted on G2.com.

With Dremio we provided a single point of access to all available data in multiple op-cos and departments. Supporting a broad range of data storage technologies, Dremio is a perfect fit to provide a holistic combined view of all data available.

On the data-consuming side, Dremio also supports most of the various technologies used in the enterprise context. Ranging from Tableau and PowerBi to ODBC for Excel and in-house custom build systems.

The ability to describe standardized business data views in virtual data sets allows a unified data model. This is possible without the need to re-organize and move data physically. Review collected by and hosted on G2.com.

For us there could be support for even more data formats. Review collected by and hosted on G2.com.