64 Dremio Reviews
Overall Review Sentiment for Dremio
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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.
* Integrates nicely with AWS. supports s3 buckets and aws hosted databases as data sources, as well as being able to use aws glue as a metastore.
* It's fast. Dremio is able to perform complex operations at scale very quickly. Many of our workloads that took tens of hours on our previous data analytics solution, now finish in under a minuet.
* Able to use a wide variety of data sources together. We able to seamlessly combine data from PostgreSQL and parquet files stored on S3 in a single query.
* Easy to connect to from external tools. Using their JDBC, a variety ODBC connectors and REST API we've been able to easily connect to, and use Dremio with a number of external tools on hosted linux or local windows. Jupyter, datagrip, excel, tableau.
* Great support and PS team. Having worked with the support team on issues ranging from inconsequential to major blockers, they have always been very responsive and fast acting. Review collected by and hosted on G2.com.
* Isn't currently transactional for data in an object store (s3). At least for an s3 data source you can't define a table then insert data into it. Any data written must be done via a Create table as Select style statement.
* Error clarity. initial errors displayed to users can be quite opaque requiring one to click through to a deeper menu to find the root cause. Review collected by and hosted on G2.com.
The product is great but for me its the people. Committed to our success, easy to work with, friendly and professional. From the beginning, we had positive interactions with Dremio and that didn't change after we became a customer. Dremio is a great partner for our company. Review collected by and hosted on G2.com.
Its still a relatively new platform so limited community information available. Review collected by and hosted on G2.com.
Fast and user-friendly query engine on top of open standard parquet files without the hassle of data loading process to a proprietary vendor format. We used to have to load our Spark-processed data to AWS Redshift in order to get decent performance from our datasets and then we use AWS Athena to avoid the hassle of secondary data loading, but encounter issues with performance SLA with Athena when traffic increases. With Dremio, we have the best of both worlds where the get the comparable performance of Redshift for most of our queries without the hassle of data loading and the reliable performance SLA. The nice user-friendly GUI that our users can use for their SQL queries is definitely a big plus for our end-user tooling and onboarding.
Aside from these, their AWS Edition has the great Elastic Engine feature that helps you save cost by turning off the engine when not in use and automatically turn it on when a query comes in. This has helped us keep our costs under control. Review collected by and hosted on G2.com.
The support for larger datasets with a large number of splits is an issue currently, but the move to use Apache Iceberg is in the works to overcome this limitation. Review collected by and hosted on G2.com.
The ease of use. We all know SQL and that is very flexible. No coding promises great things, but never deliver and complex development is taking a huge amount of time. Everybody understanding SQL should not go to No-Coding for speed, flexibility and (future) migration. Review collected by and hosted on G2.com.
The documentation on available functions is lacking. Dremio does not have a built-in Intellisense nor autosave. Review collected by and hosted on G2.com.
Dremio is simple to use, scales well and have great customer support Review collected by and hosted on G2.com.
A larger community on the internet will help in resolving issues faster. Hopefully it will happen soon as more customers start using Dremio Review collected by and hosted on G2.com.
