Dremio Enterprise
Dremio | 25.2.0Linux/Unix, Amazon Linux 2.0.20241014.0 - 64-bit Amazon Machine Image (AMI)
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Evaluating platform for data management and delivery
What do you like best about the product?
Apache Iceberg and Apache Arrow interoperability
What do you dislike about the product?
On-Premise Deployment and stability issues
What problems is the product solving and how is that benefiting you?
Delivering content and query capability to clients
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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.
Great Tool to bring many data sources of Big Data together with good performance
What do you like best about the product?
Its easy to configuring many different sources and create virtual data set that do unions across them. I am really happy about performance for data-retrieval
What do you dislike about the product?
There are so many bugs in each versions , So that we have to keep them updated with new release
What problems is the product solving and how is that benefiting you?
Dremio has a feature to make data accessible and usable by a much larger number of users . And reflections feature to make it so easy
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
Dremio Review
What do you like best about the product?
I like how easy it is to get the data ready w/o going through the ETL/ELT process.
What do you dislike about the product?
They don't have their own BI too. You have to connect to the 3rd party tools.
What problems is the product solving and how is that benefiting you?
I tried to do a data analytic task.
I am pleased about how easy it is to perform my job.
I am pleased about how easy it is to perform my job.
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.
Dremio as a next-generation data lake engine
What do you like best about the product?
- Dremio allows business users to access data easily on multiple platform (HDFS, Oracle RDBMS, SQL Server, Json, etc.)
- Standardized semantic layer: Eliminate the need for copying and moving data—no more cubes, aggregation tables or extracts—and recurring instances of data drift.
- Accelerate dashboards and reports: Integrate BI tools such as Tableau, PowerBI directly with Dremio and accelerate dashboard/reporting queries
- Accelerate ad-hoc queries: Driving lightning-fast queries directly on your data lake storage. Dremio’s combination of technologies—including an Apache Arrow-based engine.
- Standardized semantic layer: Eliminate the need for copying and moving data—no more cubes, aggregation tables or extracts—and recurring instances of data drift.
- Accelerate dashboards and reports: Integrate BI tools such as Tableau, PowerBI directly with Dremio and accelerate dashboard/reporting queries
- Accelerate ad-hoc queries: Driving lightning-fast queries directly on your data lake storage. Dremio’s combination of technologies—including an Apache Arrow-based engine.
What do you dislike about the product?
Lack of database connectors (a.e. BigQuery, Cassandra).
UI will be improved in the next version.
UI will be improved in the next version.
What problems is the product solving and how is that benefiting you?
We are putting in place a Data Virtualization Layer (Dremio) inside the company.
The business users are able to access and connect the data of multiple source systems with Dremio.
We are then aiming to launch Advanced Analytics use cases.
The business users are able to access and connect the data of multiple source systems with Dremio.
We are then aiming to launch Advanced Analytics use cases.
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
Flexibility in data management
What do you like best about the product?
-Dremio allows business analysts to access data easily on any platform (HDFS, Oracle RDBMS, EnterpriseDB, SQL Server, etc.)
-Cross-platform queries a huge advantage
-Helps to get rid of unneccesarry ETL jobs
-Brings data lake close to the business, it has helped a lot in the demistification of big data technologies
-There are continuous improvements which makes Dremio better and better
-Cross-platform queries a huge advantage
-Helps to get rid of unneccesarry ETL jobs
-Brings data lake close to the business, it has helped a lot in the demistification of big data technologies
-There are continuous improvements which makes Dremio better and better
What do you dislike about the product?
-Lack of NoSQL database connectors (HBase, BigQuery, Cassandra)
-The UI could be more user friendly
-The UI could be more user friendly
What problems is the product solving and how is that benefiting you?
Our objective was to consolidate and streamline data management across multiple data domains and provide fast access to customer data from diverse sources. With Dremio we have achieved it pretty fast.
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