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Dremio has proved useful in solving various data-related business problems. Users have found that Dremio's ability to break down data …
Overview
What is Dremio?
Dremio, from the company of the same name in Santa Clara, is described as a data lake engine. Dremio operationalizes data lake storage and speeds analytics processes, boasting a high-performance and high-efficiency query engine while also democratizing data access for…
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What is Dremio?
Dremio, from the company of the same name in Santa Clara, is described as a data lake engine. Dremio operationalizes data lake storage and speeds analytics processes, boasting a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts…
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Product Demos
Subsurface LIVE Winter 2022 Keynote Demo with Jason Hughes - Boost SEO Rankings
YouTube
Dremio Cloud Demo: Learn How to Get Started with the Data Platform in 5 Minutes
YouTube
Demo - Dremio’s Data Lakehouse
YouTube
Data to Dashboard Using Dremio Cloud and Preset Cloud
YouTube
Launch Dremio from AWS Marketplace: Step-by-Step Demo
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Elastic Engines Demo with Dremio: See it in Action
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Product Details
- About
- Tech Details
What is Dremio?
Dremio Video
Built for SQL, with a Git-like experience, and an open source foundation – Dremio’s forever-free lakehouse platform helps you drive better decisions, by giving data consumers easier access to the freshest, most complete data, without waiting. Learn more: https://www.dremio.com/platform.
Dremio Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
- Recommendations
Dremio has proved useful in solving various data-related business problems. Users have found that Dremio's ability to break down data silos is a valuable asset. Its architecture unlocks data in the data lake and warehouse, making it more accessible and usable by a larger population. Additionally, users can perform queries across multiple data sources, resulting in speedy data analytics and increased efficiency.
Moreover, Dremio's user-friendly UI has helped business users create semantic layers on top of the data lake without IT involvement, resulting in significant time-to-market advantages. The tool simplifies the process of Data Analytics and provides superior performance compared to legacy technology stacks. Furthermore, its direct SQL access to PB of data allows users who like using SQL to query their data fast, despite it being stored in different locations with different formats. Finally, Dremio helps organizations be more resilient through Black Swan events by guiding their insights and actions based on data, resulting in quicker decision-making.
Easy to use and deploy: Multiple reviewers found Dremio to be an easy-to-use tool for data analytics, with a simple deployment process. Users have been impressed with the ease of getting started with the software, especially for those without an IT background.
Great customer support: Several users praised Dremio's customer support team for their responsiveness and knowledge in addressing queries. The professional services provided by Dremio were also commended as being world-class.
Ability to bring silos of data together: Many reviewers appreciated how Dremio allowed them to bring various formats and sources of data from different departments into a single platform. This feature made it easy for both analysts and non-analysts to search, find, and query data effectively without going through the ETL/ELT process.
Steep Learning Curve: Some users have found Dremio difficult to use due to a steep learning curve. They report that while the software is not unbearable, it can take some time to get used to all of its features and functionality.
Limitations on Columns and Fields: The hard limits on the number of columns and fields in Dremio can be problematic for certain use cases, according to some users. This limitation may prevent them from using the software as effectively as they would like.
Lack of Support for Database Views and External Decryption Libraries: A significant disadvantage reported by some users is the lack of support for database views and external decryption libraries. This limitation can create issues when trying to integrate with other tools or work with specific types of data.
Users have made several recommendations based on their experiences with Dremio as a centralized data platform for organizations. The most common recommendations include utilizing ODBC or pyarrow flight for queries over the Python API to improve performance. Running a proof of concept to gain confidence in Dremio is another frequent suggestion. Lastly, users advise trying out the community AWS Edition of Dremio as it provides most, if not all, of the necessary features required by organizations. Additionally, users appreciate the thorough documentation provided by Dremio, which aids in understanding and effectively utilizing its features and functionalities.