Dremio AWS - BYOL
Dremio | 25.0.0Linux/Unix, Amazon Linux 2.0.20240329.0 - 64-bit Amazon Machine Image (AMI)
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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.
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Modern Data Platform Analytics engine
What do you like best about the product?
Very fast. Supports Apache Iceberg as well as regular parquet file based tables. Supports large workload - we are running 500,000 queries reading 2PB of data daily. Arrow Flight is another great technology utilized by Dremio that increases end to end data pipeline peeformance.
What do you dislike about the product?
Dremio still has a few issues left that need to be polished out.
What problems is the product solving and how is that benefiting you?
Dremio processes large volume of data to deliver financial analytics to a broad range of our data platform consumes.
Fastest way to get iceburg working
What do you like best about the product?
You just need to give them your credit card
What do you dislike about the product?
Doesn't have all the ETL/ml features. Could have more feats
What problems is the product solving and how is that benefiting you?
It enforces acid transaction for our data lakehouse
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
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.
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