Databricks vs Pentaho Business Analytics comparison

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Executive Summary

We performed a comparison between Databricks and Pentaho Business Analytics 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: March 2024).
765,386 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 solution is an impressive tool for data migration and integration.""We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time.""Databricks integrates well with other solutions.""The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark.""Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes.""The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly.""The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions.""The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."

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"We were able to install it without any assistance from tech support.""Easy to use components to create the job.""The most valuable feature of Pentaho is the Tableau report.""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.""I use the BI Server, CDE Dashboards, Saiku, and Kettle, because these tools are very good and highly experienced.""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.""The initial setup is pretty straightforward."

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Cons
"The integration features could be more interesting, more involved.""Can be improved by including drag-and-drop features.""The product should provide more advanced features in future releases.""The connectivity with various BI tools could be improved, specifically the performance and real time integration.""The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well.""Scalability is an area with certain shortcomings. The solution's scalability needs improvement.""The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration.""Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."

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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.""Logging capability is needed.""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.""Pentaho Business Analytics' user interface is outdated.""The repository should be improved.""Version control would be a good addition.""We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost.""Another concern is that Pentaho is not customizable or interactive."

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Pricing and Cost Advice
  • "Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
  • "I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • More Databricks Pricing and Cost Advice →

  • "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:Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer:We researched AWS SageMaker, but in the end, we chose Databricks Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer:Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… 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
    1st
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    30,172
    Comparisons
    19,226
    Reviews
    47
    Average Words per Review
    446
    Rating
    8.2
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    1,256
    Comparisons
    918
    Reviews
    4
    Average Words per Review
    526
    Rating
    7.0
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Pentaho, Kettle, Hitachi Pentaho Business Analytics
    Learn More
    Overview

    Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.

    Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.

    Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.

    Databricks Key Features

    Some of Databricks key features include:

    • Cloud-native: Works well on any prominent cloud provider.
    • Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
    • Self-governance: Built-in governance and security controls.
    • Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
    • Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
    • Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
    • Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
    • Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.

    Reviews from Real Users

    Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.

    PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”

    A business intelligence coordinator in construction notes, “The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.”

    An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”

    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
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Cargo 2000 Lufthansa, Marketo, ModCloth, Cardiac Science, Telefonica, ExactTarget, Active Broadband Networks, and Brussels Airport.
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company12%
    Manufacturing Company8%
    Healthcare Company6%
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    University13%
    Educational Organization6%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Government12%
    Computer Software Company11%
    Educational Organization9%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business50%
    Midsize Enterprise17%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise13%
    Large Enterprise60%
    Buyer's Guide
    Data Science Platforms
    March 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Databricks is ranked 1st in Data Science Platforms with 77 reviews while Pentaho Business Analytics is ranked 20th in BI (Business Intelligence) Tools with 42 reviews. Databricks is rated 8.2, while Pentaho Business Analytics is rated 8.0. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Pentaho Business Analytics writes "Flexible, easy to understand, and simple to set up". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Azure Stream Analytics, whereas Pentaho Business Analytics is most compared with Microsoft Power BI, Microsoft SQL Server Reporting Services, Tableau, SAP Crystal Reports and KNIME.

    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.