--- 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: '2026-08-09' 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. Dremio is an A game. I give it a solid 5 star rating. **Rating:** 5.0/5.0 stars **Reviewed by:** Jason E L. | Retailer Representative, Entertainment, Mid-Market (51-1000 emp.) **Reviewed Date:** October 14, 2024 **What do you like best about Dremio?** 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 Dremio?** 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 Dremio 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. ### 2. Essential service for data management and analysis. **Rating:** 4.5/5.0 stars **Reviewed by:** Leonor V. | Real Estate Agent, Real Estate, Small-Business (50 or fewer emp.) **Reviewed Date:** October 07, 2024 **What do you like best about Dremio?** Dremio became an essential solution to maintain instant data collection in our company, which is why we decided to extend our use of Dremio in the first year of use, we noticed that the results on data collection had been very complete and had helped us to collect data from various sources and virtualize it, as well as export this data to analysis platforms. One of the things I liked most about Dremio were: 1.- Dremio integrates perfectly with platforms such as Power BI and Tableau, we currently use Dremio with Power BI integration and we have noticed that this integration has been relatively good, just by linking a new API we have been able to extract and synchronize data in real time so that our end employees can have a perfect data analysis. 2.- We store various data from our properties, financial data, customer data, and much more, so Dremio has been a completely perfect database service, with SQL support and Apache support, which allows me to connect to different data sources, extract data easily, and establish data virtualization, either to combine data or to transform new data. 3.- I love the way Dremio is able to have automated table creation, in these tables you can correctly organize all the data collected from different sources and then transfer this infromation to Power BI. The automated Power BI service and the AI it uses have helped us generate quick reports on the behavior of new data with respect to old data, to be able to see comparisons in real time, see data sources depending on regions, and much more. 4.- Dremio uses a very advanced data migration compared to other similar platforms, using very advanced protocols such as JDBC, which helps to migrate data in a few seconds, and helps to keep the transfer of data to the database almost instantaneous. **What do you dislike about Dremio?** One of the features that I din't like about Dremio is that originally this platform doesn't have a real-time analysis service and automatic report generation like Power BI and platforms like Tableau do. Even though I really liked this integration between both platforms because it helps me manage reports quickly, I think that Dremio should have its own BI function to enhance the analysis of new data within the platform and that data migration is not so necessary every moment. Another feature that I didn't like about Dremio is that the platform in general needs to be used by a person with a lot of experience in database management with Apache and SQL, otherwise, you will have complications for the administration and migration of data of all kinds and from any source. These have been the only negative things that I have noticed about Dremio, since with respect to the functions that it currently offers, all the functions have been useful in my company and have not given any kind of failure. **What problems is Dremio solving and how is that benefiting you?** At our company, we use Dremio to help us manage most of the data we use for customer management, financial management, property management, new project management, and much more. Dremio has been too secure a database for us, we feel that the time we have invested within this platform has helped us collect essential data for decision making within the company, Dremio was integrated with most of the platforms we use daily for data management and reporting, this has managed to further enhance the results we already had when we started using it. We currently use the Enterprise Version of Dremio and we do not regret having started using it. For our projects, Dremio has allowed us to correctly visualize the workload depending on the data collected, optimize data based on overall costs, analyze overall data in the cloud, organize workloads separately depending on the projects. Overall, Dremio has been instrumental in the collection, management, organization and manipulation of data for our company, as well as helping to maintain data security and ensure a completely secure data migration. ### 3. Dremio make daily work easy, but needs little polish **Rating:** 4.0/5.0 stars **Reviewed by:** Abhishek C. | Associate Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 09, 2025 **What do you like best about Dremio?** Its just how easy it is to use. When we first onboarded, I was surprised at how fast we could connect to, like, multiple data sources. Didn't have a huge setup headache, which was awesome.The implementation wasn't that bad, especially comparing to some other BI tools we used. I mean, it wasn't 100% smooth, had a few little hiccups, but overall we got it running way easier than I expected. It's got pretty rich feature set—the reflections and acceleration stuff is cool for performance, even if it feels a bit overwhelming at the start. Integrating it with our existing stuff, like our AWS S3 buckets and Snowflake, was pretty straightforward. No major drama there,Oh, and the SQL editor is way better than I thought it'd be..Overall, it just feels like a tool built for speed and flexibility. we use sometimes multiple times a day when I have to do ad-hoc analysis or explore big datasets Yeah, there's definitely a learning curve, no lie. But once you get past that, you realize how powerful it is. **What do you dislike about Dremio?** Their customer support is decent. Sometimes they take a bit to get back to you, but most of the time I've gotten a proper solution that actually fixes the problem. The performance is weird sometimes, like one day a query runs blazing fast, and then the next day the exact same query is just... slower. For no obvious reason, The UI also feels a little clunky at times, not gonna lie. Especially when you're trying to handle a really large dataset, it'll just freeze up for a second , laggy . Makes the whole experience feel less smooth than it should.And the documentation... yeah, it could definitely be better. A lot of times I've had to just google around on forums or actually reach out to support just to find some small configuration detail that should really be in the main docs. Wastes a bunch of time. Also it's not exactly cheap. When you start to really scale it up, especially running on our own cloud infra, the bills start to add up. I feel like for smaller teams, the admin side of things can feel too complex for what you need. Just setting up user permissions and everything is a whole thing. **What problems is Dremio solving and how is that benefiting you?** So Dremio's basically solved our whole issue with data being scattered everywhere. Before this, we were always having to copy and move data into some central system just to be able to run a query on it. Super time-consuming .We can now just query right on top of where the data lives. Like, directly on S3, or Snowflake, even some of our old legacy databases. We don't need to build these massive ETL pipelines just for a simple question, which is a game changer.It's also helped a ton with speed. Those reflections they have? They make a huge difference on heavy queries. Our reporting team used to have to wait like, hours for their results to come back, and now it's way faster. Saves a ton of times for our day-to-day analysis and helps us make decisions way quicker. ### 4. Work **Rating:** 4.5/5.0 stars **Reviewed by:** Sadi H. | Operations Risk Intelligence Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** June 19, 2025 **What do you like best about Dremio?** It is super user friendly and helps to handle big ranges of data. **What do you dislike about Dremio?** Fairly speaking there is not a lot to say about that. Users can get what they expect from optimal data cloud. **What problems is Dremio solving and how is that benefiting you?** It helped a lot to me to combine different sources and process them together easily and faster. ### 5. Dremio fast and reliable data lakehouse platform **Rating:** 4.5/5.0 stars **Reviewed by:** Darwin A. C. | Arquitecto de soluciones, Mid-Market (51-1000 emp.) **Reviewed Date:** October 02, 2024 **What do you like best about Dremio?** Dremio is easy to configure and maintain, requiring little effort to implement from small to large clusters. It is well-documented, easy to extend, and integrates smoothly with other applications. It efficiently utilizes resources, though it has a powerfull C3 cache. The community site is highly active, providing strong support for questions about usage and configuration. **What do you dislike about Dremio?** Even though it is open source and part of the code is available on GitHub, they do not give importance to the community's efforts to collaborate with code modifications. **What problems is Dremio solving and how is that benefiting you?** With Dremio, we have solved the problem of efficiently storing data, consolidating multiple data sources, and having a robust lakehouse that allows us to process data quickly and deliver near real-time reports and dashboards. ### 6. Data Visualization tool **Rating:** 4.5/5.0 stars **Reviewed by:** maak J. | IT Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** October 10, 2024 **What do you like best about Dremio?** It supports mutiple clouds such as aws and azure for data manipulation. It has amazing data manipulation capabilities. Its data managing capabilities are really good it works amazing in that regard. The usage is also smooth and easy. It has totally modernized our data visualizing approach. **What do you dislike about Dremio?** We dont have that issue but it can be pricy for the new organizations or startups. **What problems is Dremio solving and how is that benefiting you?** It helps us analyze and visualize data which is scattered across multiple places. Traditional data querying is really slow and inefficient but with dremio its really not that big of a challenge. ### 7. Dream big with Dremio for big data processing **Rating:** 4.5/5.0 stars **Reviewed by:** Kamal H. | Analytics Data Platform Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** October 14, 2024 **What do you like best about Dremio?** 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 Dremio?** 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 Dremio solving and how is that benefiting you?** Simple solution for data analytics workflow and operation. Data integrity tools that remove and eliminate data duplication. ### 8. Data lake house platform that provides high quality data visualization **Rating:** 4.5/5.0 stars **Reviewed by:** kajal v. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 09, 2024 **What do you like best about Dremio?** Mainly we use it for data visualization It pulls data from various sources we use aws cloud and NOSQL stores. Dremio accelerates query performance by storing query response. It saves time without any manual intervention. Its stupidly easy to use and overall efficient. **What do you dislike about Dremio?** Nothing as such i think its a complete package. Customer support surely can be improved a little tiny bit. **What problems is Dremio solving and how is that benefiting you?** Data visualization and processing is the core usage of dremio for us we use it with nosql database and aws. It works really smoothly and we havent personally faced any issues with it. ### 9. Dremio intelligent but hard to setup. **Rating:** 5.0/5.0 stars **Reviewed by:** Annie R. | Android Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 10, 2024 **What do you like best about Dremio?** it let me qucikly data from a lot of places. i like that it works with SQL, new features improve performance. it works well with other tools we use. the security features top notch. **What do you dislike about Dremio?** All the good but intial setup is complicated. there are times when i get mistakas i dont understand. **What problems is Dremio solving and how is that benefiting you?** Dremio helps me quickly use big data lakes tom learn new things. there is no need for IT help every time i work with data because of it. ### 10. Simple and easy to use but limited feature. **Rating:** 5.0/5.0 stars **Reviewed by:** Sarin J. | Network Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 11, 2024 **What do you like best about Dremio?** The user interface is intuitive and It’s easy to connect to data sources. SQL editor is helpful. Setup was straightforward and simple. **What do you dislike about Dremio?** Lacks advanced in analytics tools. Updates are slow and time taking. Some connectors missing and I wish it had more built in functions. **What problems is Dremio solving and how is that benefiting you?** It helps me quickly access data for reporting purposes. We can generate reports faster than past. ### 11. facilitates enhanced teamwork. **Rating:** 5.0/5.0 stars **Reviewed by:** Niyamat A. | Senior Project Manager, Enterprise (> 1000 emp.) **Reviewed Date:** October 10, 2024 **What do you like best about Dremio?** Sharing data is simple. allows for a quantity of users. an asset to any squad. It is possible for us to share data sets. **What do you dislike about Dremio?** requires more accurate guides. it can be difficult to handle permissions at times. **What problems is Dremio solving and how is that benefiting you?** dremio allows us to work together on data projects in an effective manner. our workflow has been greatly enhanced. ### 12. Good enterprise version bad open source **Rating:** 4.0/5.0 stars **Reviewed by:** Nelson N. | Analista de dados, Mid-Market (51-1000 emp.) **Reviewed Date:** October 18, 2024 **What do you like best about Dremio?** Easily centralizing data, with many sources and resources **What do you dislike about Dremio?** High difficult to mantain the environment, high resources demands **What problems is Dremio solving and how is that benefiting you?** Centralizing data ### 13. Dremio Adoption experience **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consumer Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 10, 2024 **What do you like best about Dremio?** 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 **What do you dislike about Dremio?** 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 **What problems is Dremio solving and how is that benefiting you?** Abstraction to facilitate single source of truth. Ability to control and manage queries at scale is beneficial. ## 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?filters%5Bsentiment_snippet%5D=1574130&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+19%3A02%3A17+-0500&secure%5Bsession_id%5D=97d90f9b-6c85-44d3-a3e6-b6b15f0b49c8&secure%5Btoken%5D=2b1297297e8ee8aa3659a4fc18173569669d8751dc6a88e6d06469bdb188e6a6&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 - Customizable Reports - Marketing Reports - Sales Reports - Activity Dashboard - Interactive Reports - Customizable Reports - Customizable Reports - Activity Dashboard - Customizable Dashboard **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - Data Lake Analytics - ETL - Extract Transfer Load - Data Capture and Transfer - Real-Time Analytics - Reporting/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 - Reporting/Analytics - Predictive Analytics - Visual Analytics **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 - Real-Time Data - Data Capture and Transfer - Trend Analysis - What-if Analysis - Statistical Analysis - Data Blending - Ad hoc Analysis - Third-Party Integrations **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 - Natural Language Search - Visual Discovery - Data Blending - Data Blending **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks - Data Discovery **Security** - Data Governance **Governance - Semantic Layer Tools** - AI Governance & Observability - Metric Lineage for AI Training Data - Version Control & Change Impact Analysis **Additional Functionality** - Data Warehousing - Drag & Drop - Activity Dashboard - Data Connectors - Ad hoc Reporting - Customizable Reports - Alerts/Escalation - Templates - Forecasting - Data Migration - Data Transformation - Access Controls/Permissions - API - Data Cleansing - Data Synchronization - AI Copilot - Dashboard Creation - Data Extraction - Data Security - SSL Security - Collaboration Tools - No-Code - High Volume Processing - Database Support - Search/Filter - Generative AI **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services - Real-Time Analytics - Reporting/Analytics - Real-Time Analytics - Reporting/Analytics - Visual Analytics **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Advanced Intelligence - Semantic Layer Tools** - Natural Language Query Interface - Semantic Layer for AI/ML Models - Recommendation Engine **Additional Functionality** - Parallel Processing - Ad hoc Analysis - Multiple Data Sources - API - In-Database Processing - Monitoring - Real-Time Reporting - Data Synchronization - Real-Time Monitoring - Data Connectors - Performance Metrics - Ad hoc Reporting - Alerts/Notifications - Access Controls/Permissions - Drag & Drop - Data Visualization - Data Import/Export - Match & Merge - Data Transformation - Secure Data Storage - Data Extraction - AI Copilot - Customizable Reports - Activity Dashboard - Data Migration - In-Memory Processing - Data Mapping **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 - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Platform** - User, Role, and Access Management - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management **Additional Functionality** - Customizable Branding - Natural Language Processing - Data Extraction - AI Copilot - Ad hoc Reporting - Real-Time Reporting - Publishing/Sharing - Collaboration Tools - Strategic Planning - Self Service Data Preparation - Trend Analysis - Text Analysis - Real-Time Monitoring - Data Synchronization - Widgets - Benchmarking - Performance Metrics - Data Mapping - Generative AI - Trend/Problem Indicators - Customizable Templates - Access Controls/Permissions - Data Import/Export - Profitability Analysis - OLAP - Alerts/Notifications - Search/Filter - Drag & Drop - Data Connectors - Multiple Data Sources - Key Performance Indicators - Dashboard Creation - Role-Based Permissions - Data Mining - Forecasting - Ad hoc Query ## Top Dremio Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,337 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (713 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,145 reviews)