Databricks vs Knowage comparison

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Databricks Logo
28,492 views|18,008 comparisons
96% willing to recommend
Knowage Logo
941 views|752 comparisons
85% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Databricks and Knowage 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).
771,157 professionals have used our research since 2012.
Featured Review
AbdulshukoorMohammed
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.""Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy.""Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things.""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 solution offers a free community version.""The integration with Python and the notebooks really helps.""Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user.""I work in the data science field and I found Databricks to be very useful."

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"I can't name the features the way the Knowage community calls them because I still don't know the lingo. However, I can describe them. I like the ability to join more than one report, set all fields on one end, and replicate that on the other reports. I like that a lot. I think it's one of the features that got me using Knowage. They have tables, and I like that too. They took SQL scripts and many other scripts and enabled them to even correlate with Python. That's also one of the best things about Knowage. You could also decide to get information per user role, and this is also a feature that I like in Knowage.""We can easily do our own customizations.""The concept of engines is quite powerful allowing the user to work with report authoring/provisioning tools of their choice.""The embedding feature is great."

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Cons
"Anyone who doesn't know SQL may find the product difficult to work with.""The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps.""I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast.""Doesn't provide a lot of credits or trial options.""The initial setup is difficult.""Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks.""The product should provide more advanced features in future releases.""We'd like a more visual dashboard for analysis It needs better UI."

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"The only challenge here is that it's a Java-based platform. It requires very high technical skills.""Development of SpagoBI has now been moved to Knowage. Users interested in further developments of the platform will have to look there.""It would be better if more resources were available to help us learn how to use it. I wanted to use Knowage for a more extended period, but learning materials around the product were not really available and were not really straightforward. I've also seen inconsistencies between versions. For example, under the tools, especially in the cockpit, the way you create reports is now different. You will also find some configurations within a particular state, like a line chart, which differs from version to version. I think consistency is an essential feature in a product, especially for business intelligence products.""The dashboard components could be better."

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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 →

  • "It allows the implementation of an effective reporting system using internal skills at a limited upfront cost."
  • "Knowage is open-source, and an enterprise edition is also available."
  • More Knowage Pricing and Cost Advice →

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    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 »
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    Ranking
    1st
    Views
    28,492
    Comparisons
    18,008
    Reviews
    47
    Average Words per Review
    441
    Rating
    8.3
    23rd
    out of 50 in Reporting
    Views
    941
    Comparisons
    752
    Reviews
    0
    Average Words per Review
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    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    SpagoBI
    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.”

    Knowage (formerly SpagoBI) has a 14-years history. The actual release is the 6.3.

    Knowage offers FULL ANALYTICAL CAPABILITIES, with a special focus on big data analytics and comprehensive support to rich and multi-source data analysis. Knowage provides different modules, each one focused on a specific domain but mutually combinable (Big Data, Smart Intelligence, Enterprise Reporting, Location Intelligence, Performance Management, Predictive Analysis). Moreover, Knowage is an OPEN SOURCE solution: the source code is freely accessible, everyone is allowed to join the community and build the own business solution to ensure strategic decision-making and improved productivity.

    Knowage suite is supported by Engineering Group, the leading Italian software and services company, with about 10,000 people and more than 50 offices worldwide. Maintenance and support services (such as trainings, migration support, proof-of-concepts, etc) are provided by Engineering Group (KNOWAGE Labs) under subscription.

    Sample Customers
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    FIAT Group, Italian air navigation service provider, Ministry of Education and Science of the Russian Federation, Telecom Italia, ASL Genovese, San Giovanni Battista University Hospital
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Manufacturing Company9%
    Retailer9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company9%
    Healthcare Company6%
    REVIEWERS
    Comms Service Provider25%
    Computer Software Company25%
    Hospitality Company13%
    Non Tech Company13%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Government11%
    Real Estate/Law Firm11%
    Hospitality Company6%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business37%
    Midsize Enterprise32%
    Large Enterprise32%
    VISITORS READING REVIEWS
    Small Business32%
    Midsize Enterprise21%
    Large Enterprise47%
    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.
    771,157 professionals have used our research since 2012.

    Databricks is ranked 1st in Data Science Platforms with 78 reviews while Knowage is ranked 23rd in Reporting. Databricks is rated 8.2, while Knowage is rated 7.6. 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 Knowage writes "Easy to customize, cross-platform capable, and very stable". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio, whereas Knowage is most compared with Microsoft Power BI, Tableau, Pentaho Business Analytics and SAP BusinessObjects Business Intelligence Platform.

    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.