Dremio vs ThoughtSpot comparison

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Dremio Logo
2,683 views|2,043 comparisons
100% willing to recommend
ThoughtSpot Logo
2,005 views|1,509 comparisons
87% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dremio and ThoughtSpot 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: May 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""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 gives you the ability to create services which do not require additional resources and sterilization.""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 allows querying the files I have on my block storage or object storage."

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"ThoughtSpot takes the modifying of existing reports out of our hands.""The initial setup was very straightforward.""I like ThoughtSpot's search capabilities. You can also create custom analytics even if you aren't an experienced data analyst. We have users with no data analytics experience making some of the dashboards we've created, copying components, and customizing them to their specific use cases.""It's easy to drill down or expand data to get more details right out of the box.""The ability to do ad hoc explorations of data has been most valuable.""It is easy to set up the solution.""I would say the return on investment is good. Whatever we invested, we got results. We have been finding it easy to use and onboard new use cases.""The scalability is good."

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Cons
"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.""I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.""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.""It shows errors sometimes.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."

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"The dashboards could give you more ability to fine tune the appearance. You get a great deal more control over how something looks in Power BI than you do in ThoughtSpot.""In terms of features, I'd like to be able to pivot data - for example, going from rows to columns. It's not easy to do.""A customized visualization is lacking in this product.""I would like to see more flexibility in adding the pins. Currently, we have four different sizes in which I can add pins, but I would like to be able to resize my pins.""If I want to order columns, this feature is not there.""The one area of the solution that I do hear needs improvement is on the visualization front.""The most difficult thing I found is that it only deals with the files and does not have direct connectivity to databases.""ThoughtSpot is a fairly new product, so some usability aspects aren't as mature as we'd like them to be. One example is their organizational methodology, like how objects are organized in their dashboards inside the product. They're all on a flat list, which works if you've got five or 10 dashboards. However, it's insufficient when you're a large enterprise with multiple groups looking at the same dashboards. It isn't organized well."

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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."
  • More Dremio Pricing and Cost Advice →

  • "I give the pricing a six out of ten."
  • More ThoughtSpot 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:It's easy to drill down or expand data to get more details right out of the box.
    Top Answer:I like the pricing structure. I get billed by how much data I put in, not how many people are looking at the data. It's better for me as I can control pricing a bit more easily.
    Top Answer:We'd like more flexibility with the calendar as our fiscal year does not align with the calendar year. We have to load or create our own custom calendar to actually need our fiscal year-end. With… more »
    Ranking
    9th
    Views
    2,683
    Comparisons
    2,043
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    Views
    2,005
    Comparisons
    1,509
    Reviews
    8
    Average Words per Review
    783
    Rating
    7.5
    Comparisons
    Databricks logo
    Compared 43% of the time.
    Snowflake logo
    Compared 17% of the time.
    Starburst Enterprise logo
    Compared 12% of the time.
    Amazon Redshift logo
    Compared 4% of the time.
    Tableau logo
    Compared 29% of the time.
    Microsoft Power BI logo
    Compared 26% of the time.
    Looker logo
    Compared 13% of the time.
    Amazon QuickSight logo
    Compared 5% of the time.
    Birst logo
    Compared 2% of the time.
    Learn More
    Dremio
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    Overview

    Dremio is a data analytics platform designed to simplify and expedite the data analysis process by enabling direct querying across multiple data sources without the need for data replication. This solution stands out due to its approach to data lake transformation, offering tools that allow users to access and query data stored in various formats and locations as if it were all in a single relational database.

    At its core, Dremio facilitates a more streamlined data management experience. It integrates easily with existing data lakes, allowing organizations to continue using their storage of choice, such as AWS S3, Microsoft ADLS, or Hadoop, without data migration. Dremio supports SQL queries, which means it seamlessly integrates with familiar BI tools and data science frameworks, enhancing user accessibility and reducing the learning curve typically associated with adopting new data technologies.

    What Are Dremio's Key Features?

    • Data Reflections: Reduces query times by creating optimized representations of source data, which can accelerate performance without the complexity of traditional data warehousing solutions.
    • Semantic Layer: Allows users to define business metrics and dimensions centrally, ensuring consistency and governance across all analytics tools.
    • Built-in Security Features: Provides robust security measures, including column- and row-level security, ensuring compliance with data governance and privacy standards.
    • Support for Multiple Data Formats and Sources: Enables querying directly against a variety of data formats (Parquet, JSON, etc.) and sources without the need for conversion or replication.

    What Benefits Should Users Expect?

    When evaluating Dremio, potential users should look for feedback on its query performance, especially in environments with large and complex data sets. Reviews might highlight the efficiency gains from using Dremio’s data reflections and its ability to integrate with existing BI tools without significant changes to underlying data structures. Also, check how other users evaluate its ease of deployment and scalability, particularly in hybrid and cloud environments.

    How is Dremio Implemented Across Different Industries?

    Dremio is widely applicable across various industries, including finance, healthcare, and retail, where organizations benefit from rapid, on-demand access to large volumes of data spread across disparate systems. For instance, in healthcare, Dremio can be used to analyze patient outcomes across different data repositories, improving treatment strategies and operational efficiencies.

    What About Dremio’s Pricing, Licensing, and Support?

    Dremio offers a flexible pricing model that caters to different sizes and types of businesses, including a free community version for smaller teams and proof-of-concept projects. Their enterprise version is subscription-based, with pricing varying based on the deployment scale and support needs. Customer support is comprehensive, featuring dedicated assistance, online resources, and community support.

    ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable. 

    The solution is used for reporting purposes, self-service BI, and embedding into other applications for customers to do self-service analytics. It helps businesses with metrics, KPIs, and important insights by sourcing data from various sources into one golden source and visualizing it in an easy way for the business to consume. The pricing model is ideal, charging for data rather than the number of users.

    Sample Customers
    UBS, TransUnion, Quantium, Daimler, OVH
    Primary Capital Mortgage, Sterling Backcheck, RichRelevance, Rambus, Batteries Plus Bulbs
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company11%
    Manufacturing Company10%
    Healthcare Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business13%
    Large Enterprise88%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise8%
    Large Enterprise78%
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    771,170 professionals have used our research since 2012.

    Dremio is ranked 9th in Data Science Platforms with 6 reviews while ThoughtSpot is ranked 15th in BI (Business Intelligence) Tools with 8 reviews. Dremio is rated 8.6, while ThoughtSpot is rated 7.6. The top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". On the other hand, the top reviewer of ThoughtSpot writes "You can drill down into any data right out of the box, with a straightforward deployment, and great support". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas ThoughtSpot is most compared with Tableau, Microsoft Power BI, Looker, Amazon QuickSight and Birst.

    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.