Dremio vs Pentaho Business Analytics comparison

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2,752 views|2,082 comparisons
100% willing to recommend
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1,113 views|809 comparisons
89% willing to recommend
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Executive Summary

We performed a comparison between Dremio and Pentaho Business Analytics based on real PeerSpot user reviews.

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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 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.""Everyone uses Dremio in my company; some use it only for the analytics function.""We primarily use Dremio to create a data framework and a data queue.""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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"Easy to use components to create the job.""The most valuable feature of Pentaho is the Tableau report.""Pentaho Business Analytics' best features include the ease of developing data flows and the wide range of options to connect to databases, including those on the cloud.""I use the BI Server, CDE Dashboards, Saiku, and Kettle, because these tools are very good and highly experienced.""The initial setup is pretty straightforward.""We were able to install it without any assistance from tech support.""Pentaho is an analytics platform that can be used when an organization has a lot of big data storage systems already installed and needs to manage and analyze that data. It has a specific use case for unstructured data, such as documents, and needs to be able to search and analyze it."

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Cons
"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.""It shows errors sometimes.""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.""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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"Deployment is not simple. It is not simple because we are dealing with a lot of data; we are dealing with a lot of storage. So, it's not a simple process.""The repository should be improved.""Logging capability is needed.""Pentaho Business Analytics' user interface is outdated.""Pentaho, at the general level, should greatly improve the easy construction of its dashboards and easy integration of information from different sources without technical user intervention.""Another concern is that Pentaho is not customizable or interactive.""We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost.""Version control would be a good addition."

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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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  • "Free and commercial versions are available."
  • "Pentaho is expensive ."
  • "We were lucky enough to find a Pentaho OEM partner who offered a data warehouse model and the ETL software for about 60K SGD per year."
  • More Pentaho Business Analytics Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Any company (be it technology, manfucaturing, human resource, ecommerce, SME etc) always has the need for Business Intelligence to some or the other extent. If cost is one of the consideration factor, then the 2 BI tools which are at the forefront are Pentaho and Jaspersoft. But, often the same companies are caught up in an imbrogilo as to which tool to use, what are the technology/and end business user wise differences/ do i actually need to purchase commercial edition, is there any work around etc. Differences :- In the below mentioned points, I have tried to cover functionality wise the differences a. Reports :- Jaspersoft is known for its picture pixel perfect reporting. Jasper uses ireport for designing the reports. Hence, for having reports, Jaspersoft is the most ideal candidate. Pentaho uses Pentaho Report Designer. b. Dashboards :- Pentaho provides much more capabililties, interactivity in terms of dashboards. Dashboards designed in Pentaho are far more superior in functionality, aesthetically as compared to Jaspersoft. Pentaho CE uses CDE/CDF, Pentaho EE uses PDD . Dashboard functionality is present only in the Enterprise edition of Jaspersoft. c. Pentaho is having an intermediate layer known as Xactions & hence providing much more flexibility in terms of plugin designing, integration with applications, having out of box experience etc. Xactions supports scripting and scheduling of scripts execution. Jaspersoft dosent provide that much of flexibility in terms of… Read more →
    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:There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows:  1) If you have legacies of SAP, Oracle  - look for SAP… more »
    Top Answer:The organization has both options based on their needs and budget constraints. The Enterprise Edition is expensive with references to an added number of features.
    Top Answer:The product to me is not as user-friendly as other players in the market. It also still needs improvement in the reporting module. You will need to search for deployment examples or need to have a… more »
    Ranking
    10th
    Views
    2,752
    Comparisons
    2,082
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    Views
    1,113
    Comparisons
    809
    Reviews
    4
    Average Words per Review
    526
    Rating
    7.3
    Comparisons
    Also Known As
    Pentaho, Kettle, Hitachi Pentaho Business Analytics
    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.

    Pentaho is an open source business intelligence company that provides a wide range of tools to help their customers better manage their businesses. These tools include data integration software, mining tools, dashboard applications, online analytical processing options, and more.

    Pentaho has two product categories: There is the standard enterprise version. This is the product that comes directly from Pentaho itself with all of the benefits, features, and programs that come along with a paid application such us analysis services, dashboard design, and interactive reporting.

    The alternative is an open source version, which the public is permitted to add to and tweak the product. This solution has its advantages, aside from the fact that it is free, in that there are many more people working on the project to improve its quality and breadth of functionality.

    Sample Customers
    UBS, TransUnion, Quantium, Daimler, OVH
    Cargo 2000 Lufthansa, Marketo, ModCloth, Cardiac Science, Telefonica, ExactTarget, Active Broadband Networks, and Brussels Airport.
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    University13%
    Marketing Services Firm6%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company12%
    Government10%
    Educational Organization9%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business50%
    Midsize Enterprise17%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise13%
    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.
    772,679 professionals have used our research since 2012.

    Dremio is ranked 10th in Data Science Platforms with 6 reviews while Pentaho Business Analytics is ranked 19th in BI (Business Intelligence) Tools with 42 reviews. Dremio is rated 8.6, while Pentaho Business Analytics is rated 8.0. 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 Pentaho Business Analytics writes "Flexible, easy to understand, and simple to set up". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas Pentaho Business Analytics is most compared with Microsoft Power BI, Databricks, KNIME, SAP Crystal Reports and Microsoft SQL Server Reporting Services.

    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.