Dremio Data Lake Engine
Overview
Dremio delivers lightning-fast queries and a self-service semantic layer directly on S3, so that you don't have to move the data into data warehouses, cubes or extracts.
Highlights
- Fast queries on S3 (4-100x faster & 10x more efficient than other SQL engines)
- Join between S3 and other AWS/on-premise databases
- Semantic layer to empower BI (Tableau, Power BI, etc.) users and govern data access
Details
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Delivery method
Delivery option
Dremio Deployment
Latest version
Operating system
AmazonLinux 2.0.20241001.0
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
m5d.xlarge | $0.39 | $0.226 | $0.616 |
m5d.2xlarge | $0.78 | $0.452 | $1.232 |
m5d.4xlarge | $1.56 | $0.904 | $2.464 |
m5d.8xlarge | $3.12 | $1.808 | $4.928 |
c5d.18xlarge | $5.96 | $3.456 | $9.416 |
r5d.4xlarge | $1.99 | $1.152 | $3.142 |
i3.4xlarge | $2.15 | $1.248 | $3.398 |
Vendor refund policy
No refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Dremio Deployment
Launches a coordinator node of the product, with the ability to dynamically provision additional engines to execute queries
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Additional details
Usage instructions
Quickstart Instructions:
Resources
Vendor resources
Support
Vendor support
Community Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Alain B.
A fast and easy SQL Engine on top a data lake file
Reviewed on May 16, 2024
Review provided by G2
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.
Leave a comment0 comments
Consumer Services
Dremio Adoption experience
Reviewed on May 10, 2024
Review provided by G2
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.
Mikhail S.
Modern Data Platform Analytics engine
Reviewed on May 10, 2024
Review provided by G2
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.
Financial Services
Fastest way to get iceburg working
Reviewed on May 02, 2024
Review provided by G2
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
Financial Services
Evaluating platform for data management and delivery
Reviewed on May 02, 2024
Review provided by G2
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