Dremio vs IBM Db2 Warehouse comparison

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Dremio Logo
1,046 views|788 comparisons
100% willing to recommend
IBM Logo
962 views|511 comparisons
71% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dremio and IBM Db2 Warehouse based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Dremio vs. IBM Db2 Warehouse Report (Updated: March 2024).
770,924 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
"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.""We primarily use Dremio to create a data framework and a data queue.""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.""Everyone uses Dremio in my company; some use it only for the analytics function."

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"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data.""Some of the best features are stored procedures, parallelism, and different indexing strategies.""Provides good security and reliability.""I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well.""It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily.""The analytics engine is not bad at forecasting predictions."

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

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"There should be more material available for training and training should be free.""The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web.""IBM Db2 Warehouse needs to improve its interface.""Lacks sufficient documentation and particularly in Spanish.""The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting.""In terms of improvement, IBM Db2 Warehouse should be more scalable.""The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."

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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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  • "In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."
  • More IBM Db2 Warehouse 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 standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data.
    Top Answer:Db2 is a very expensive database. In comparison to Oracle, for example, where the cost depends on the size of the implementation. For an enterprise database, the cost is mid-range.
    Top Answer:IBM Db2 Warehouse needs to improve its interface.
    Ranking
    11th
    Views
    1,046
    Comparisons
    788
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    13th
    out of 35 in Data Warehouse
    Views
    962
    Comparisons
    511
    Reviews
    3
    Average Words per Review
    363
    Rating
    7.3
    Comparisons
    Also Known As
    InfoSphere Warehouse, IBM InfoSphere Warehouse
    Learn More
    Dremio
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    IBM
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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.

    InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.
    Sample Customers
    UBS, TransUnion, Quantium, Daimler, OVH
    Alameda County Social Services Agency, Sui Southern Gas Company Limited
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    VISITORS READING REVIEWS
    Educational Organization52%
    Financial Services Firm9%
    Computer Software Company7%
    Insurance Company5%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business40%
    Midsize Enterprise20%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise55%
    Large Enterprise36%
    Buyer's Guide
    Dremio vs. IBM Db2 Warehouse
    March 2024
    Find out what your peers are saying about Dremio vs. IBM Db2 Warehouse and other solutions. Updated: March 2024.
    770,924 professionals have used our research since 2012.

    Dremio is ranked 11th in Cloud Data Warehouse with 6 reviews while IBM Db2 Warehouse is ranked 13th in Data Warehouse with 8 reviews. Dremio is rated 8.6, while IBM Db2 Warehouse 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 IBM Db2 Warehouse writes "Useful for ETL process and has good documentation ". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Amazon Redshift, Apache Hadoop and Teradata. See our Dremio vs. IBM Db2 Warehouse report.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud Data Warehouse 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.