I can visualize traffic from BI and Tableau on the same page and have my tables and schema on the same page. The data link comprises everything. If I want one structure, I connect it to a big table in the hive and the data team that could read my SQL work on my tables, schemas, table structures and everything all in one place. Dermio is as good as any other Presto engine.
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Quick database capabilities but sometimes shows minor errors
What is our primary use case?
How has it helped my organization?
Everyone uses Dremio in my company; some use it only for the analytics function.
What is most valuable?
The most valuable feature is that you can generate refresh reflections and create your visuals (VDS) because it makes it easier to monitor day-to-day data structure. I can use Dermio to create a visual table without impacting the original by creating an opportunity on my own. I can work on my videos and create reflections, and Dremio allows me to use those reflections. I can know the health of my tables, whether healthy or unhealthy, daily. It is one of the most valuable features of Dremio.
What needs improvement?
One of the areas of improvement is that a table does not break and shows errors. When the 23rd version was released, I had to contact Dermio customer support, and they suggested I update the database to run the table. Sometimes you face common errors like tables running strictly and taking time to run. I think Dermio can improve this part.
An additional feature can be a feature where everyone can see the tables.
For how long have I used the solution?
I have been using Dremio for over 3years now.
What do I think about the stability of the solution?
I would rate the scalability an 9/10 because it shows errors sometimes.
What do I think about the scalability of the solution?
I would rate the scalability a 10/10 based on its recent enhancements.
How are customer service and support?
We had Dremio support service at every point of time we requested it.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
Previously, I used Presto regularly.
How was the initial setup?
The initial setup was straightforward.
What about the implementation team?
The deployment was in-house, and only two to three people were involved. We had direct Dermio support communication to support us. We have both cloud and in-house deployment methods.
What was our ROI?
With Dremio its not a loss
What's my experience with pricing, setup cost, and licensing?
Every tool has a value based on its intended purpose and use, and the pricing is worth its value.
Which other solutions did I evaluate?
We tested some other options but Dremio proofs to be better in terms of reliability and scalability, so we submitted our reports and reviews.
What other advice do I have?
I suggest that you give it a try and see for yourself. Dremio is as fast as Presto. For example, ten billion rows can return in less than five seconds.
I would rate it a 10 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
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.
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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