Dremio AWS - BYOL
DremioReviews from AWS customer
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Unified lakehouse platform for Analytics and Al
What do you like best about the product?
I love the platform’s ability to connect to a wide array of data sources, including relational databases (PostgreSQL, MySQL, Oracle, MS SQL), NoSQL systems (MongoDB, Elasticsearch), and cloud or file-based storage like S3 and HDFS, without requiring complex ETL pipelines.
This approach simplifies data integration and reduces engineering overhead.
The SQL query engine is highly performant, delivering sub-second response times even on large datasets, and supports live data visualization and dynamic previews during query preparation.
Data reflections feature acts as an intelligent caching layer, optimizing query performance and enabling low-latency dashboard refreshes for BI workloads.
The platform’s virtual datasets allow for complex query logic to be encapsulated and reused, supporting data-as-code principles such as Git-like version control and experimentation.
Cloud-native architecture offers elastic compute scaling and is available as a managed service on AWS and Azure, making it suitable for both on-premises and cloud deployments. It supports role-based access control and multitenancy, which is essential for enterprise environments with strong data governance requirements.
This approach simplifies data integration and reduces engineering overhead.
The SQL query engine is highly performant, delivering sub-second response times even on large datasets, and supports live data visualization and dynamic previews during query preparation.
Data reflections feature acts as an intelligent caching layer, optimizing query performance and enabling low-latency dashboard refreshes for BI workloads.
The platform’s virtual datasets allow for complex query logic to be encapsulated and reused, supporting data-as-code principles such as Git-like version control and experimentation.
Cloud-native architecture offers elastic compute scaling and is available as a managed service on AWS and Azure, making it suitable for both on-premises and cloud deployments. It supports role-based access control and multitenancy, which is essential for enterprise environments with strong data governance requirements.
What do you dislike about the product?
The learning curve can be significant, especially when configuring advanced features like data reflections, multitenancy, and integrating with complex enterprise authentication systems.
While the UI is functional, some administrative and monitoring functions feel less intuitive compared to other modern analytics platforms.
I have also found that fine-grained access controls and tenant isolation require careful configuration to avoid inadvertent data exposure in multi-tenant scenarios.
While the UI is functional, some administrative and monitoring functions feel less intuitive compared to other modern analytics platforms.
I have also found that fine-grained access controls and tenant isolation require careful configuration to avoid inadvertent data exposure in multi-tenant scenarios.
What problems is the product solving and how is that benefiting you?
Dremio has eliminated the need for traditional ETL pipelines in my analytics workflows, allowing direct querying and data exploration across disparate sources without data movement.
This has resulted in faster dataset creation cycles and reduced bottlenecks between data engineering and analytics teams.
The platform’s autonomous performance optimization and use of data reflections have significantly improved query speeds, enabling real-time analytics and interactive BI dashboarding even on large, complex datasets.
By adopting Dremio, I achieved unified access to both structured and semi-structured data in a single platform, which streamlined data governance and cataloging.
The self-service model empowered business analysts to experiment and iterate on data products without constant engineering intervention, accelerating time-to-insight for AI and analytics projects.
The platform’s open, standards-based approach has also made it easier to integrate with existing tools and future-proof my data infrastructure against vendor lock-in concerns.
✅ My overall insight: Dremio has enabled a more agile, scalable, and cost-effective analytics environment, supporting both operational BI and advanced data science initiatives in a unified, governed, and performant manner.
This has resulted in faster dataset creation cycles and reduced bottlenecks between data engineering and analytics teams.
The platform’s autonomous performance optimization and use of data reflections have significantly improved query speeds, enabling real-time analytics and interactive BI dashboarding even on large, complex datasets.
By adopting Dremio, I achieved unified access to both structured and semi-structured data in a single platform, which streamlined data governance and cataloging.
The self-service model empowered business analysts to experiment and iterate on data products without constant engineering intervention, accelerating time-to-insight for AI and analytics projects.
The platform’s open, standards-based approach has also made it easier to integrate with existing tools and future-proof my data infrastructure against vendor lock-in concerns.
✅ My overall insight: Dremio has enabled a more agile, scalable, and cost-effective analytics environment, supporting both operational BI and advanced data science initiatives in a unified, governed, and performant manner.
Easy Direct Access
What do you like best about the product?
I like the fact that you can query directly s3 and hdfs and it also support power bi as integration
What do you dislike about the product?
Its not etl friendly so I have to link it with apache ariflow
What problems is the product solving and how is that benefiting you?
The easy integration so i save time
Review for Dremio product
What do you like best about the product?
its great experience using Dremio. I have used its sql query engine product. the implementation was very easy and good for freshers and non-tech people. it's not too expensive w.r.t to other platforms. I like the speed. it's quite fast. I like the customer support service.
What do you dislike about the product?
there is nothing which I dont like as I like it and its good to try on different platform for cloud and analytics work.
What problems is the product solving and how is that benefiting you?
I have used its sql query engine product. the implementation was very easy and good for freshers and non-tech people.
its very helpful for data analytics and visulizations.
its very helpful for data analytics and visulizations.
Work
What do you like best about the product?
It is super user friendly and helps to handle big ranges of data.
What do you dislike about the product?
Fairly speaking there is not a lot to say about that. Users can get what they expect from optimal data cloud.
What problems is the product solving and how is that benefiting you?
It helped a lot to me to combine different sources and process them together easily and faster.
Dremio is an excellent semantic layer and caching/acceleration/extract layer
What do you like best about the product?
The Reflections feature is awesome. It allows you to seamlessly accelerate queries by pre-aggregating query results at various aggregations that you can define over time, based on actual query usage. If you move away from Tableau, Dremio is how you can replace Tableau's Extract feature. Or, if you're using Superset, you can insert Dremio in between Superset and the data sources to auto-magically speed up slow queries and dashboards.
What do you dislike about the product?
Dremio OSS does not support encrypted ODBC or Flight connections. You need Enterprise for that.
What problems is the product solving and how is that benefiting you?
Speeding up slow Superset dashboards.
Good enterprise version bad open source
What do you like best about the product?
Easily centralizing data, with many sources and resources
What do you dislike about the product?
High difficult to mantain the environment, high resources demands
What problems is the product solving and how is that benefiting you?
Centralizing data
Data Engineer with 2 years experiences with Dremio
What do you like best about the product?
Virtualization data , also the open sources like Arrow, Iceberg.
What do you dislike about the product?
sometimes I had the OOM error and dont' know exactly why
What problems is the product solving and how is that benefiting you?
Data virtualization. that helps us a lot because at RTE, we have many different databases
Dream big with Dremio for big data processing
What do you like best about the product?
Dremio is a game changing tools that enhance our consultation service company to provide client with all the forecast, data management, and data transformation that client require. Easy tools to operate is the main attraction and visualized analytics report tools help client understand data that we present. Running K8 deployment/setup is easy with the help from detailed documentation. Apache Hadoop integration simplify data distribution workflow.
What do you dislike about the product?
Bugs on every version that they releases. After one bugs is fixed on update, other is emerged and need to wait for hotfix or update. The problem keep cycles.
What problems is the product solving and how is that benefiting you?
Simple solution for data analytics workflow and operation. Data integrity tools that remove and eliminate data duplication.
Dremio is an A game. I give it a solid 5 star rating.
What do you like best about the product?
Dremio has the most powerful data analytics i have ever seen which makes it get easy to analyze our data in depth and acquire very comprehensive insights. Its SQL engine has a simple and clean interface that allows us to easily navigate through. Dremio has also shown great flexibility which made it possible to adjust its setup in order to match with our specified needs. The customer support team assigned to us has been generously helpful and has impressed us by responding to our requests quickly enough. Dremio has extreme security functions that allows us to access, work on and analyze our data safely without making them vulnerable to any security breaches. Dremio allows us to analyze our data from where they live whether on cloud or any other environment with no need to first transfer them. It has been offering lightning fast performance speeds that allows us to analyze, query data and get results in an instance. Dremio reporting tools are very efficient and has been giving us an easy experience generating insightful reports for our data. Dremio compatibility with multiple data sources has enabled us to integrate and connect it with every data source we have.
What do you dislike about the product?
Dremio has impressed in all areas of our great concern and we are happy with the experience we are having. We have genuinely lacked anything negative to complain about Dremio.
What problems is the product solving and how is that benefiting you?
Dremio is offering us the most suitable and reliable experience analyzing our data. It allows us to analyze our data from where they are without the extra steps of having to transfer them. It makes it really fast to analyze data from any data sources and help acquire results almost in an instant.
Dremio enables us to get the most comprehensive and accurate insights from our data by making it easily possible to run in-depth analysis on the data.
Dremio enables us to get the most comprehensive and accurate insights from our data by making it easily possible to run in-depth analysis on the data.
Powerful tool for me but with steep learning curve.
What do you like best about the product?
It handles big data well and supports SQL very easily when i start.
The performance improvements are noticeable easily.
It integrates with other tools which i use.
The data reflections feature enhances query speed and saves my times.
The performance improvements are noticeable easily.
It integrates with other tools which i use.
The data reflections feature enhances query speed and saves my times.
What do you dislike about the product?
Learning how to use it was hard for new user.
Setup took a long time.
Some features are not easy understand.
The interface could be more user friendly and with simple setup.
Setup took a long time.
Some features are not easy understand.
The interface could be more user friendly and with simple setup.
What problems is the product solving and how is that benefiting you?
Dremio helps us analyze large datasets without needing to move data.
The setup is hard but works is faster than other.
Easy to use for them who already know some.
Integration are good.
overall it is nice and good for me in my big small data analysis and management .
The setup is hard but works is faster than other.
Easy to use for them who already know some.
Integration are good.
overall it is nice and good for me in my big small data analysis and management .
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