Dremio vs Google Data Studio comparison

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Dremio Logo
2,610 views|1,995 comparisons
100% willing to recommend
Google Logo
1,733 views|1,887 comparisons
88% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dremio and Google Data Studio based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
767,995 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable feature of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory.""Dremio gives you the ability to create services which do not require additional resources and sterilization.""Dremio allows querying the files I have on my block storage or object storage.""We primarily use Dremio to create a data framework and a data queue.""Everyone uses Dremio in my company; some use it only for the analytics function.""Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it."

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"This has improved our organization by allowing people to see their data and develop visualizations themselves.""The ability to design complex data models and equations.""Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like.""Valuable features include advanced integrated analysis and easy implementation.""I find it favorable regarding speed of development, ease of building, and flexibility.""The ability to integrate with a great variety of data sources.""I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts.""The solution is free so that is a good feature."

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Cons
"Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake.""They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people.""Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.""I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.""It shows errors sometimes."

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"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements.""It's not yet a replacement for a complete BI tool.""There are issues with integration and I encountered limits and warnings, especially with my pivot table size.""Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful.""The tool should come up with data modeling layer features that are present in other products like Power BI.""Stability and scalability an be improved for a full ten.""Panels are not as easy to use as other data extraction UIs.""There is a significant degree of sophistication required to compete with Tableau or Cognos."

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Pricing and Cost Advice
  • "Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have."
  • "Dremio is less costly competitively to Snowflake or any other tool."
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  • "The tool is free."
  • "The solution is free but the Google Looker is expensive."
  • "The cost is quite affordable based on feature analysis."
  • More Google Data Studio Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Dremio allows querying the files I have on my block storage or object storage.
    Top Answer:Every tool has a value based on its visualization, and the pricing is worth its value.
    Top Answer:Dremio's interface is good, but it has a few limitations. I cannot do a lot of things with ANSI SQL or basic SQL. I cannot use the recursive common table expression (CTE) in Dremio because the support… more »
    Top Answer:I find it favorable regarding speed of development, ease of building, and flexibility.
    Top Answer:The potential challenge, especially when considering a larger user base, is that the expenses can significantly add up. There are issues with integration and I encountered limits and warnings… more »
    Top Answer:By integrating Data Studio into our services, we not only provide added value to our existing customers but also ensure stability in traffic and minimize the cost of sales. This strategic move allows… more »
    Ranking
    10th
    Views
    2,610
    Comparisons
    1,995
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    14th
    out of 50 in Reporting
    Views
    1,733
    Comparisons
    1,887
    Reviews
    4
    Average Words per Review
    370
    Rating
    7.5
    Comparisons
    Also Known As
    Data Studio
    Learn More
    Dremio
    Video Not Available
    Overview

    Dremio is a data lake query engine tool that creates PDSs and VDSs on top of S3 buckets. It is used for managing simple ad-hoc queries and as a greater layer for ad-hoc queries. The most valuable features of Dremio include its ability to sit on top of any data storage, generate refresh reflections and create visuals, manage changes effectively through data lineage and data providence capabilities, use open-source, and address the problem of data transfer when working with large datasets. The use cases are broad, allowing for high-performance queries from a data lake.

    Google Data Studio (beta) turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions.

    Sample Customers
    UBS, TransUnion, Quantium, Daimler, OVH
    Genesys, Shueisha
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Manufacturing Company11%
    Financial Services Firm10%
    Educational Organization7%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    REVIEWERS
    Small Business38%
    Midsize Enterprise25%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise15%
    Large Enterprise62%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    767,995 professionals have used our research since 2012.

    Dremio is ranked 10th in Data Science Platforms with 6 reviews while Google Data Studio is ranked 14th in Reporting with 7 reviews. Dremio is rated 8.6, while Google Data Studio is rated 7.8. The top reviewer of Dremio writes "Quick database capabilities but sometimes shows minor errors". On the other hand, the top reviewer of Google Data Studio writes "The cloud environment makes it easier to use large volumes of data and collaborate with coworkers". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and Databricks.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.