Dremio Enterprise
DremioExternal reviews
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Dremio fast and reliable data lakehouse platform
What do you like best about the product?
Dremio is easy to configure and maintain, requiring little effort to implement from small to large clusters. It is well-documented, easy to extend, and integrates smoothly with other applications. It efficiently utilizes resources, though it has a powerfull C3 cache. The community site is highly active, providing strong support for questions about usage and configuration.
What do you dislike about the product?
Even though it is open source and part of the code is available on GitHub, they do not give importance to the community's efforts to collaborate with code modifications.
What problems is the product solving and how is that benefiting you?
With Dremio, we have solved the problem of efficiently storing data, consolidating multiple data sources, and having a robust lakehouse that allows us to process data quickly and deliver near real-time reports and dashboards.
A fast and easy SQL Engine on top a data lake file
What do you like best about the product?
It is quite easy to implement. Running on Kubernetes for full control. Integrate really well with our infrastructure. Dremio is running SQL coming from Power BI with ease. The UI is functionning quite well.
What do you dislike about the product?
The compagnie is still young. And quality of support took a bit of time to get up to par. But for now, we are very please with the product and the support.
What problems is the product solving and how is that benefiting you?
Provide a fast solution to run SQL on top of data lake file - Azure Storage Account - Parquet files.
Did a good job to solve this. And was fast to implement too.
Did a good job to solve this. And was fast to implement too.
Dremio Adoption experience
What do you like best about the product?
The product concept is straightforward and easy to explain.
Deploying/upgrading is simple especially with K8 deployments.
Open tech stack with Iceberg and Arrow is a big advantage
Deploying/upgrading is simple especially with K8 deployments.
Open tech stack with Iceberg and Arrow is a big advantage
What do you dislike about the product?
Learning curve is high. Teams need services help to succesfully deploy. More debug and self management will help in adopting and maintaining. This is critical for middleware technologies
Ease of integration has been a challenge expecially with the choice of BI Platform
Ease of integration has been a challenge expecially with the choice of BI Platform
What problems is the product solving and how is that benefiting you?
Abstraction to facilitate single source of truth. Ability to control and manage queries at scale is beneficial.
Self Service for dummies
What do you like best about the product?
Users are in no time familiar with thr usage of Dremio, and administrative tasks in Dremio are super easy.
What do you dislike about the product?
AKS cluster is hard to maintain for us. Needs alignment with IT partner, but hard to find. Looking forward to use a Hosted Dremio solution.
What problems is the product solving and how is that benefiting you?
Connecting multiple sources and easy usage for end users.
User Friendly
What do you like best about the product?
its easy to use and upgrades are simple compared to other products
What do you dislike about the product?
Stability and time it takes for support to resolve issues
What problems is the product solving and how is that benefiting you?
Easy data access
Revolutionary technology with a natural user interface
What do you like best about the product?
Dremio initially caught my eye because the company grew out of the open-source arrow project, which was already a fantastic project and critical to big data platforms.
Dremio does one thing really well and a couple of other things pretty well:
- To start with, with regards to scalable data access, whether you're accessing terabytes of parquet/files or megabytes of database information, Dremio _just works_. There are very few other solutions that 1) allow you to join different data sources on-demand, 2) do _not_ run 24/7 but spin up clusters when you need them and 3) have a reasonably user-friendly interface. The combination has made Dremio crucial to increasing productivity at my company.
However, Dremio offers even more than the killer feature of easy data access described above:
- Good mechanisms for data governance, including internal lineage graphs between datasets
- Ways to structure computing resources with regards to finetuning query performance -- if you need dashboard datasets to perform more quickly than UI datasets, it's almost a point-and-click operation
- You can expose internal statistics on usage and performance for all queries
- Better and better granularity with regards to managing users
- Most tools only allow users to download a max of 1-10k rows of data. Dremio easily allows 1 million rows and performs on this as well
Dremio has really thought about how companies should manage and expose data and has made sure to provide a design and the technology to make data access, democritization and governance easier.
Dremio does one thing really well and a couple of other things pretty well:
- To start with, with regards to scalable data access, whether you're accessing terabytes of parquet/files or megabytes of database information, Dremio _just works_. There are very few other solutions that 1) allow you to join different data sources on-demand, 2) do _not_ run 24/7 but spin up clusters when you need them and 3) have a reasonably user-friendly interface. The combination has made Dremio crucial to increasing productivity at my company.
However, Dremio offers even more than the killer feature of easy data access described above:
- Good mechanisms for data governance, including internal lineage graphs between datasets
- Ways to structure computing resources with regards to finetuning query performance -- if you need dashboard datasets to perform more quickly than UI datasets, it's almost a point-and-click operation
- You can expose internal statistics on usage and performance for all queries
- Better and better granularity with regards to managing users
- Most tools only allow users to download a max of 1-10k rows of data. Dremio easily allows 1 million rows and performs on this as well
Dremio has really thought about how companies should manage and expose data and has made sure to provide a design and the technology to make data access, democritization and governance easier.
What do you dislike about the product?
Dremio is still a young company and while the product works well, they're still working very hard at improving it.
We have not yet run into a single bug on production, but it was initially noticeable that it's a young product (start 2021).
Fortunately, they are rapidly making new releases and fixing a lot of the little issues so that the product has a good, professional level of quality.
We have not yet run into a single bug on production, but it was initially noticeable that it's a young product (start 2021).
Fortunately, they are rapidly making new releases and fixing a lot of the little issues so that the product has a good, professional level of quality.
What problems is the product solving and how is that benefiting you?
As I mentioned above, Dremio solves data access in a performant, easy way -- and much easier, faster and in a smarter way than any other tool that I've yet to come across in 2021.
Recommendations to others considering the product:
Dremio is more expensive for smaller organizations -- even though we are smaller and it is thus more expensive for us, it's been able to solve problems that cheaper solutions were not capable of, in particular easy, scalable, manageable performant data access.
Handy engine to bring many sources of Big Data together with good performance
What do you like best about the product?
I really like the ease of configuring many different sources and create views that do unions across them. I'm also a big fan of Flight's performance for data-retrieval!
What do you dislike about the product?
Dremio isn't an industry standard (yet), so help on the official forums or rest of the internet can be quite limited.
What problems is the product solving and how is that benefiting you?
We're aiming to offer a single view, that exposes near-live intraday data (in low-latency storage solutions) as well as far-back history (in high-bandwidth Big Data stores). We try to make it as easy, transparent and performant as possible for users to access any data we store internally.
Had a great experience building our Data Virtualisation layer with Dremio on top of our Data Lake.
What do you like best about the product?
Lightning-fast query speeds, ability to easily work with data lakes
What do you dislike about the product?
Intermittent issues, needs to be tested on a wider range of datasets
What problems is the product solving and how is that benefiting you?
Moving from Data Warehouse to Lakehoue
Recommendations to others considering the product:
Dremio is most suitable for organizations with huge volumes of data (in 100s of GBs). That is also when you will be able to see the value of Dremio vs a traditional Data Warehouse
Dremio is really cool!
What do you like best about the product?
With a tiny engineering team (1) we were able to get Dremio up and running in AWS for our org to start using. It is extremely easy to bring silos of data from all over the organization held in various formats and make them available in our platform.
Once in the platform, it provides a non-threatening interface to allow both analysts and non-analysts the ability to search, find and query the data for their use cases. Dremio has done a wonderful job!
Once in the platform, it provides a non-threatening interface to allow both analysts and non-analysts the ability to search, find and query the data for their use cases. Dremio has done a wonderful job!
What do you dislike about the product?
Dremio definitely puts the "democracy" in "data democratization", but I wish there were more tools to allow a little more control of what data sources are made public on the platform. An organization wouldn't want to be too strict over who can do things in this powerful platform, but being too open could result in data confusion.
Data governance tools to help make sure appropriate documentation or tagging are provided or possibily a request/approval workflow before something is made public to everyone would be really nice.
Data governance tools to help make sure appropriate documentation or tagging are provided or possibily a request/approval workflow before something is made public to everyone would be really nice.
What problems is the product solving and how is that benefiting you?
The biggest problem we are solving is around the data silos in our organization. Dremio allows us to make data accessible and usable by a much larger population.
Recommendations to others considering the product:
If you are looking for a centralized data platform for your org, you should include Dremio in your evaluations. Definitely worth your time learning more about.
A great tool to unlock your data
What do you like best about the product?
Dremio is simple to use, scales well and have great customer support
What do you dislike about the product?
A larger community on the internet will help in resolving issues faster. Hopefully it will happen soon as more customers start using Dremio
What problems is the product solving and how is that benefiting you?
Unlocking the data in the data lake and the data warehouse
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