Dremio vs Sisense comparison

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Dremio Logo
2,683 views|2,043 comparisons
100% willing to recommend
Sisense Logo
1,825 views|1,656 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dremio and Sisense 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
"We primarily use Dremio to create a data framework and a data queue.""Dremio allows querying the files I have on my block storage or object storage.""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.""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.""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."

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"No issues with stability. It is a very stable solution.""Ability to work with very large data sources without the limitations of Excel.""The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions.""A very simple setup: Easy to download, install, and updates are pain free.""We like that this solution allows us to use data cubes to set up specific visualizations.""The solution's technical support team is good.""Visually displaying data.""I have found the dashboard creating feature helpful."

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

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"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution.""Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T""They should improve the filters to create downloaded data by moving them to the top of the dashboard.""I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes.""I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually.""At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed.""The administrative side of Sisense is a little cumbersome and confusing.""I would like to see more development and growth for the support of Knowledge Base and Community forums."

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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 →

  • "This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."
  • More Sisense 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:The solution's technical support team is good.
    Top Answer:Sisense is good in terms of visualization, but it has some drawbacks. For example, it doesn't have any way to sort or filter tables directly on the server side. Also, you can't have multiple tabs; it… more »
    Top Answer:We use the solution to centralize all processes.
    Ranking
    9th
    Views
    2,683
    Comparisons
    2,043
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    Views
    1,825
    Comparisons
    1,656
    Reviews
    5
    Average Words per Review
    373
    Rating
    7.4
    Comparisons
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    Compared 17% of the time.
    Starburst Enterprise logo
    Compared 12% of the time.
    Amazon Redshift logo
    Compared 4% of the time.
    Microsoft Power BI logo
    Compared 39% of the time.
    Tableau logo
    Compared 28% of the time.
    Apache Superset logo
    Compared 11% of the time.
    Qlik Sense logo
    Compared 5% of the time.
    Amazon QuickSight logo
    Compared 4% of the time.
    Learn More
    Dremio
    Video Not Available
    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.

    Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.

    Sample Customers
    UBS, TransUnion, Quantium, Daimler, OVH
    Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    REVIEWERS
    University17%
    Media Company13%
    Retailer8%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company16%
    Healthcare Company6%
    Government6%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business57%
    Midsize Enterprise17%
    Large Enterprise26%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise14%
    Large Enterprise60%
    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 Sisense is ranked 17th in BI (Business Intelligence) Tools with 39 reviews. Dremio is rated 8.6, while Sisense is rated 8.8. 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 Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Amazon QuickSight.

    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.