--- title: Dremio Reviews meta_title: 'Dremio Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 71 reviews by the users' company size, role or industry to find out how Dremio works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 71 scale: '5' date_modified: '2026-07-17' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Dremio Reviews **Vendor:** Dremio **Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) **Average Rating:** 4.6/5.0 **Total Reviews:** 71 ## About Dremio Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers this agility by equipping AI agents with federated data access, unstructured data processing, and rich business context through its AI Semantic Layer. In the agentic-era, data engineering teams can’t manually tune performance for thousands of users and agents asking unpredictable questions every second. Dremio’s Agentic Lakehouse autonomously manages itself, removing undifferentiated management tasks, allowing engineers to focus on initiatives that drive business results. Dremio’s agentic lakehouse automatically optimizes queries, reorganizes data, and maintains performance at any scale. Dremio is trusted by thousands of global enterprises including Shell, TD Bank, and Michelin, and built on open standards. Dremio co-created Apache Polaris and Apache Arrow, and it's the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow. ## Dremio Pros & Cons **What users like:** - Users find Dremio's **ease of use** exceptional, enabling quick data sharing and seamless integration with multiple tools. (13 reviews) - Users appreciate the **seamless integrations** of Dremio with tools like Power BI and Tableau for efficient data management. (10 reviews) - Users value the **exceptional performance** of Dremio for accelerating query speed and facilitating efficient data workflows. (7 reviews) - Users value the **SQL support** in Dremio, enhancing data connectivity and integration with various analytics platforms. (7 reviews) - Users appreciate the **advanced data management capabilities** of Dremio, enhancing data collection and analysis across various platforms. (6 reviews) - Users commend Dremio for its **excellent handling of large datasets** , enabling fast and scalable data management efficiently. (6 reviews) - Setup Ease (6 reviews) - Speed (6 reviews) - Users appreciate the **ease of use** of Dremio, enabling quick connections to multiple data sources without hassles. (5 reviews) - Features (5 reviews) **What users dislike:** - Users find the **initial setup complicated** and experience a steep learning curve that hampers their productivity. (5 reviews) - Users report that **customer support can be slow** , leading to delays in resolving issues and frustration. (5 reviews) - Users note a **steep learning curve** with Dremio, making setup and feature understanding challenging for beginners. (4 reviews) - Users find the **difficult setup** of Dremio challenging and time-consuming, often requiring external resources for assistance. (3 reviews) - Users feel that the **documentation is poor** , often forcing them to seek help outside the provided resources. (3 reviews) - Users report **connectivity issues** in Dremio, particularly with missing features and limited support for connections. (2 reviews) - Debugging Issues (2 reviews) - Error Handling (2 reviews) - Expensive (2 reviews) - Increased Costs (2 reviews) ## Dremio Reviews ### 1. An effective tool, with great enterprise support. **Rating:** 5.0/5.0 stars **Reviewed by:** Matthew B. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 25, 2020 **What do you like best about Dremio?** * Integrates nicely with AWS. supports s3 buckets and aws hosted databases as data sources, as well as being able to use aws glue as a metastore. * It's fast. Dremio is able to perform complex operations at scale very quickly. Many of our workloads that took tens of hours on our previous data analytics solution, now finish in under a minuet. * Able to use a wide variety of data sources together. We able to seamlessly combine data from PostgreSQL and parquet files stored on S3 in a single query. * Easy to connect to from external tools. Using their JDBC, a variety ODBC connectors and REST API we've been able to easily connect to, and use Dremio with a number of external tools on hosted linux or local windows. Jupyter, datagrip, excel, tableau. * Great support and PS team. Having worked with the support team on issues ranging from inconsequential to major blockers, they have always been very responsive and fast acting. **What do you dislike about Dremio?** * Isn't currently transactional for data in an object store (s3). At least for an s3 data source you can't define a table then insert data into it. Any data written must be done via a Create table as Select style statement. * Error clarity. initial errors displayed to users can be quite opaque requiring one to click through to a deeper menu to find the root cause. **What problems is Dremio solving and how is that benefiting you?** One tool that can query and combine all our data fast despite being stored in different locations with different formats. ### 2. Dremio is helping us democratize data and deliver analytical solutions far quicker than normal. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.) **Reviewed Date:** November 26, 2020 **What do you like best about Dremio?** The product is great but for me its the people. Committed to our success, easy to work with, friendly and professional. From the beginning, we had positive interactions with Dremio and that didn't change after we became a customer. Dremio is a great partner for our company. **What do you dislike about Dremio?** Its still a relatively new platform so limited community information available. **Recommendations to others considering Dremio:** Run a proof of concept, get comfort with it yourself. You will not be disappointed. **What problems is Dremio solving and how is that benefiting you?** We have already proved that we can turn around Data Analytics in a far shorter time with superior performance compared to our legacy technology stack. We would spend hours moving data around via ETL and then some time spent processing cubes or slow queries. Dremio has smoltified this process a lot. As a company we like using SQL and Dremio provides a SQ L access to our data planform which is a hug plus. ### 3. Efficient and User Friendly SQL layer on top of open file format **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** November 19, 2020 **What do you like best about Dremio?** Fast and user-friendly query engine on top of open standard parquet files without the hassle of data loading process to a proprietary vendor format. We used to have to load our Spark-processed data to AWS Redshift in order to get decent performance from our datasets and then we use AWS Athena to avoid the hassle of secondary data loading, but encounter issues with performance SLA with Athena when traffic increases. With Dremio, we have the best of both worlds where the get the comparable performance of Redshift for most of our queries without the hassle of data loading and the reliable performance SLA. The nice user-friendly GUI that our users can use for their SQL queries is definitely a big plus for our end-user tooling and onboarding. Aside from these, their AWS Edition has the great Elastic Engine feature that helps you save cost by turning off the engine when not in use and automatically turn it on when a query comes in. This has helped us keep our costs under control. **What do you dislike about Dremio?** The support for larger datasets with a large number of splits is an issue currently, but the move to use Apache Iceberg is in the works to overcome this limitation. **Recommendations to others considering Dremio:** If you dislike proprietary vendor format and the hassle of the data loading process, try this out. Try their community AWS Edition which has most of the features that you would need. **What problems is Dremio solving and how is that benefiting you?** Data virtualization and democratization. As most of our users come from SQL background, Dremio is the perfect solution for these users to something that they are already familiar with. The web GUI has streamlined our data quality analysts' job as they can simply perform their initial data exploration from the GUI. ### 4. Senior Data Engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Borut H. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 26, 2021 **What do you like best about Dremio?** Simplicity of use and power of window functions. **What do you dislike about Dremio?** Lack of Undo and Redoo buttons in web user interface. **What problems is Dremio solving and how is that benefiting you?** Dremio is used to query large amount of data retrieved from production lines. ### 5. Simplify Data Engineering. **Rating:** 5.0/5.0 stars **Reviewed by:** Klemen S. | Lead Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 23, 2021 **What do you like best about Dremio?** SQL API to all the data on the data lake. **What do you dislike about Dremio?** I needed a DevOps person to take care of deployment. **What problems is Dremio solving and how is that benefiting you?** It is enabling data access to data scientists. ### 6. Dremio for Pon Equipment Pon Power, The Netherlands **Rating:** 4.5/5.0 stars **Reviewed by:** Ricardo R. | Enterprise (> 1000 emp.) **Reviewed Date:** November 25, 2020 **What do you like best about Dremio?** The ease of use. We all know SQL and that is very flexible. No coding promises great things, but never deliver and complex development is taking a huge amount of time. Everybody understanding SQL should not go to No-Coding for speed, flexibility and (future) migration. **What do you dislike about Dremio?** The documentation on available functions is lacking. Dremio does not have a built-in Intellisense nor autosave. **What problems is Dremio solving and how is that benefiting you?** Virtual data warehousing directly on Microsoft CDM. ### 7. A great tool to unlock your data **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 27, 2021 **What do you like best about Dremio?** Dremio is simple to use, scales well and have great customer support **What do you dislike about Dremio?** 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 Dremio solving and how is that benefiting you?** Unlocking the data in the data lake and the data warehouse ### 8. Great tool to simplify and accelerate big data queries across multiple heterogeneous data sources **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Airlines/Aviation | Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2021 **What do you like best about Dremio?** Easy to scale and excellent performance. **What do you dislike about Dremio?** Reflections have to be manually managed. **What problems is Dremio solving and how is that benefiting you?** Speed up queries across multiple data sources. ### 9. Self service Data lake acceleration **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Automotive | Enterprise (> 1000 emp.) **Reviewed Date:** November 23, 2020 **What do you like best about Dremio?** The confluence of open source technologies to solve one of the most challenging problems of todays Big Data environments. I applaud Dremio and its team in fusing together technologies like Apache Arrow, Vectorized engine, Iceberg etc to bring a unique approach to accelerating the data lake. The approach to self service through semantic engineering of data has created a new dimension to data analysis and data curation. **What do you dislike about Dremio?** Dremio's lack of support for database views and external decryption libraries, has created a perception that sometimes overshadows all the advantages it brings. **What problems is Dremio solving and how is that benefiting you?** Democratizing data by getting data into the hands of the users through self service. Reaping the benefits of Arrow for speed. Leveraging Dremio's support for Iceberg to cater to consumption scenarios that are unpredictable. Leveraging Iceberg's hidden partitioning through Dremio is a key in this area. ### 10. A new way for simplification **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Chemicals | Enterprise (> 1000 emp.) **Reviewed Date:** November 25, 2020 **What do you like best about Dremio?** Simplification – Single point of data access. Data Blending – Merge diverse data pools easily Protection – Enable security and authorization. Acceleration – Performant reporting and analysis **What do you dislike about Dremio?** Different roadmap AWS and Azure and not all capabilities you have in AWS are in Azure **What problems is Dremio solving and how is that benefiting you?** We organized the Lake like a virtual LAB or APP. In a APP we provide for all our user the correct folder structure and all the resources they need to analyze data. Dremio use the Data lake as a data source . From outside, Dremio looks and behaves like a relational Database ### 11. User friendly self servicing Data lake engine **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 30, 2020 **What do you like best about Dremio?** Dremio help us to transition from legacy to target state data lake architecture. it offers connectivity to both legacy data sources and modernised cloud native data lake on object storage. This allows us to produce insights across our whole data landscape since day 1 and plan out transition from legacy over time. **What do you dislike about Dremio?** Nothing major but it would be great if Dremio can offer connectors to more legacy data sources **What problems is Dremio solving and how is that benefiting you?** we are looking for a modernised data management approach instead of traditional ETL approach. The user friendly UI allowed our business users to create semantic layers on top of data lake without IT involvements, it also help to drive adoption in business as this approach offer significant time to market advantage, compare to the legacy ETL approach. ### 12. Data Lake Adoption **Rating:** 4.0/5.0 stars **Reviewed by:** Gurdeep S. | Mid-Market (51-1000 emp.) **Reviewed Date:** December 04, 2020 **What do you like best about Dremio?** Enabling interactive speed queries on Hadoop **What do you dislike about Dremio?** Can be misused as a mainstream ELT tool. **What problems is Dremio solving and how is that benefiting you?** Making Hadoop as the mainstream data platform for all consumers. This tool has really flattened the Change management curve for the BI community in adopting the Data Lake on Hadoop ### 13. Strategic Partner **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 19, 2020 **What do you like best about Dremio?** Upon selecting Dremio as a targeted consumption solution for our enterprise data footprint, Dremio immediately came along side our organization with their architects, designers, and client partners to understand the pending impediments. Through an arduous internal process, Dremio was able to quickly modify their platform to meet our security and compliance needs for a rapid deployment ultimately meeting out timelines. **What do you dislike about Dremio?** So far so good, they have been nothing but great partners. **What problems is Dremio solving and how is that benefiting you?** In our large scale data environment we are looking to leverage strategic tools like Dremio in order to limit the transformation and ingestion activities that currently take place within our enterprise lakes. Dremio will ultimately reduce our ETL developments allowing us to deliver insights and results to our business partners significantly faster. ### 14. Fast and Open Data Lake Engine **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 18, 2020 **What do you like best about Dremio?** Amazing performance with Apache Arrow at its core with new enhancements actively developed with the open source community such as Gandiva for optimized execution and Flight for optimized data transfer. Project Nessie is also being worked on in the open source community to bring git-like version history to datasets. **What do you dislike about Dremio?** There can be better support for large datasets in the TB/PB range in terms of dataset management, with something like Iceberg support, which is in the works. **What problems is Dremio solving and how is that benefiting you?** Building an open file-based data warehouse that can scale to speed up existing RDBMS-based workloads and allow new and more advanced use cases to be developed on top of data from various sources. ### 15. Solid platform and excellent support. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** November 19, 2020 **What do you like best about Dremio?** What I like best about Dremio is the open source foundation and commitments to the open source community. This is most notable in the various database connector where we have the freedom to create our own or modify as needed. **What do you dislike about Dremio?** The limitations in connection to legacy DBs and there are limitation in maintaining sessions and passing things like "Alter" commands to source databases. This can increase development and adoption timelines. **What problems is Dremio solving and how is that benefiting you?** Dremio is positioned to solve for virtualization and federation to legacy databases as well as their core product of enabling SQL interfaces on data lakes. ### 16. A virtual integration environment to allow data analyzing on a higher and faster level **Rating:** 4.0/5.0 stars **Reviewed by:** Bert K. | Mid-Market (51-1000 emp.) **Reviewed Date:** November 30, 2020 **What do you like best about Dremio?** Easy to use, SQL based, No data movement, optimizing and integrate queries and/or the use of reflections for a high analyzing performance **What do you dislike about Dremio?** At this moment no actual issues, maybe a missing data dictionary **What problems is Dremio solving and how is that benefiting you?** No data movement, self service analytics ### 17. Excellent Data Tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Automotive | Enterprise (> 1000 emp.) **Reviewed Date:** November 05, 2020 **What do you like best about Dremio?** Ability and ease to view data, especially parquet files and their data types. **What do you dislike about Dremio?** There is not much to dislike, the UI is great too and documentation is thorough. **What problems is Dremio solving and how is that benefiting you?** Ability to consolidate multiple data sources of big data. Ability to aggregate across DBs and make data available from a single endpoint. ### 18. Dremio as a Data Wrangling Tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 19, 2020 **What do you like best about Dremio?** Dremio has a ton of support out of the box for a wide array of data sources. The professional services support is also world class. **What do you dislike about Dremio?** The scope of the amount of products it supports can lead to some slow problem resolutions for lesser used data source connections and edge case problems **Recommendations to others considering Dremio:** Their docs are extremely thorough. **What problems is Dremio solving and how is that benefiting you?** A unified query layer to allow data exploration among disparate data sources ### 19. Next Gen tool to accelerate Datalake & AI **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Enterprise (> 1000 emp.) **Reviewed Date:** November 18, 2020 **What do you like best about Dremio?** Dremio is a very simple tool to deploy and with OSS technology. We benched many solutions in order to find an performing tool that can accelerate Analytics & ML on-premise **What do you dislike about Dremio?** Need better integration with Analytics tools like spark (ex: native connectors...) **Recommendations to others considering Dremio:** Give a try to Dremio ! you will be surprised. **What problems is Dremio solving and how is that benefiting you?** - Accelerate Analytics - Avoid duplicated datasources shared between Analytics & ML - Self-service DataHub for business ### 20. Data Virtualization **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 24, 2020 **What do you like best about Dremio?** Able to connect data from multiple sources via Native SQL. **What do you dislike about Dremio?** Sharding work on individual executors can be improved to keep it simple. **What problems is Dremio solving and how is that benefiting you?** - Central Data Virtualization - Democratizing Data - Technical Edge ### 21. It is really a very fast analytic engine compare to other competitors **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 19, 2020 **What do you like best about Dremio?** Setup and query execution also awse features, reflections **What do you dislike about Dremio?** Sometimes machines crashes due to aws upgrades **What problems is Dremio solving and how is that benefiting you?** Query execution is too fast around 7 times faster than athena ## Dremio Discussions - [What is a Dremio reflection?](https://www.g2.com/discussions/what-is-a-dremio-reflection) - 1 comment - [View Dremio pricing details and edition comparison](https://www.g2.com/products/dremio/reviews?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-07-22+03%3A34%3A50+-0500&secure%5Bsession_id%5D=e3b376ea-2d8f-4b0d-b3a2-baf6535be1f4&secure%5Btoken%5D=e94611fe75f464094b1bf56b44498a09059651929c09e05ad1f4063e44af3c6b&format=llm_user) ## Dremio Integrations - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Microsoft SharePoint](https://www.g2.com/products/microsoft-sharepoint/reviews) ## Dremio Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - Data Lake Analytics **Data Management** - Data Migration - Managing Data **Deployment & Integration - Semantic Layer Tools** - Multi-Environment & Multi-Cloud Support - Open API & SDK Integration **Data Transformation** - Data Querying **Integration** - BI Tool Integration - Data lake Integration **Data as a Service** - Self-Service Isights - DaaS Quality **Data Connectivity & Federation - Semantic Layer Tools** - Cross-Source Query Federation - Dynamic Schema & Metadata Adaptation **Integrations** - Hadoop Integration - Spark Integration **Deployment** - On-Premise - Cloud **Architecture** - Data Fabric Creation - DaaS Architecture **Data Modeling & Metrics - Semantic Layer Tools** - Derived & Calculated Metrics - Time Intelligence Functions **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Performance Optimization - Semantic Layer Tools** - Query Caching & Acceleration - Adaptive Query Optimization **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance **Governance - Semantic Layer Tools** - AI Governance & Observability - Metric Lineage for AI Training Data - Version Control & Change Impact Analysis **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Generative AI** - AI Text Generation - AI Text Summarization **Advanced Intelligence - Semantic Layer Tools** - Natural Language Query Interface - Semantic Layer for AI/ML Models - Recommendation Engine **Agentic AI Enablement - Semantic Layer Tools** - Agentic Query Orchestration - Contextual Reasoning Layer - Workflow Automation via Semantic Agents **Building Reports** - Data Transformation - Data Modeling - Integration APIs **Platform** - User, Role, and Access Management - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Dremio Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,323 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (708 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,144 reviews)