Databricks vs TIBCO Spotfire comparison

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Executive Summary

We performed a comparison between Databricks and TIBCO Spotfire 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).
765,234 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
"Ability to work collaboratively without having to worry about the infrastructure.""Databricks integrates well with other solutions.""It is fast, it's scalable, and it does the job it needs to do.""Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution.""This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities.""We can scale the product.""Databricks has helped us have a good presence in data.""Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

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"The product's initial setup phase was simple.""I appreciate Spotfire's range of visualization options, advanced analytics features, and seamless integration with other TIBCO products.""The ability to create a real-time data mark, using just one piece of software, is the best feature of this product.""From a scalability standpoint, I would say it's pretty fantastic.""The ability to connect to many different data sources is one of the key features. The other would then be the different ways in which that data can be visualized.""This solution allows us to integrate data from across all client departments, for effective reporting via a single dashboard.""The two features that I have found most valuable are its ability to customize the dashboards when it comes to the evaluation. The second feature is its ability to handle a large amount of data, which is also something very unique about it.""Spotfire is excellent for scientific applications, especially because of its integration with RNG."

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Cons
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases.""Databricks could improve in some of its functionality.""The pricing of Databricks could be cheaper.""I would like more integration with SQL for using data in different workspaces.""Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively.""The tool should improve its integration with other products.""Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics.""In the future, I would like to see Data Lake support. That is something that I'm looking forward to."

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"I would like more easy-to-implement analytical algorithms. At the moment they include things like forecasts and regressions. They need to add a lot more of these types of things to the product because not everyone is a data scientist.""The number of charts available out of the box in Spotfire can be enhanced.""One aspect where Spotfire could improve is its global recognition, especially in terms of support.""The design of the UI could be improved.""Compared to competitors, the UI is quite dated.""Print capability and trigger-based events.""Personalising Spotfire, as a whole, is painful and is something that could be made easier.""We would like to see some improvement in the default properties of the solution, so that there is less need for us to spend our time coding."

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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 →

  • "The ROI is nearly impossible to calculate."
  • "The pricing seems competitive and reasonable. The value delivered by the product far exceeds the cost."
  • "The Tibco sales teams have been very difficult to work with - ignoring requests, misrepresenting level of demand, etc."
  • "The cost is a few hundred dollars per user per year."
  • "The cost of TIBCO Spotfire could improve. It should be less expensive. It's the most expensive visualization tool in our company."
  • "The price-point for this solution is negotiable depending on usage levels."
  • "This product carries a monthly licensing charge, with the amount depending on the features that are to be included. This costs also covers the use of technical support."
  • "In comparison to other solutions such as IBM Cognos, TIBCO Spotfire is more affordable."
  • More TIBCO Spotfire 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 »
    Top Answer:The product's initial setup phase was simple.
    Top Answer:I would describe TIBCO Spotfire as an averagely-priced product.
    Top Answer:The way TIBCO Spotfire is designed, in my opinion, is the reason why it lags a bit, especially compared to other BI tools like Qlik. The speed of creating reports or dashboards is slower in TIBCO… more »
    Ranking
    1st
    Views
    30,172
    Comparisons
    19,226
    Reviews
    47
    Average Words per Review
    446
    Rating
    8.2
    Views
    2,402
    Comparisons
    1,698
    Reviews
    9
    Average Words per Review
    477
    Rating
    8.3
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Spotfire
    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.”

    TIBCO Spotfire is a versatile data analytics platform that can handle large datasets and be deployed on-premise or in the cloud. Its dynamic reporting, easy creation of dynamic dashboards, and highly customizable tool make it a valuable asset for process data analysis, industrial performance dashboards, problem root cause analysis, business intelligence, and real-time analytics for IoT devices in the energy sector. 

    The solution also offers data science functions, map visuals, R and Python integration, and the ability to write HTML and JavaScript text areas. Spotfire has helped organizations deliver projects more efficiently and cost-effectively, allowing for faster data analysis.

    Sample Customers
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Allergan, ASSS de Montreal, Avantium, Blue River, Bank of Montreal, Citibank, FrieslandCampina, Hellmann Logistics, Merck, Novartis
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company8%
    Healthcare Company6%
    REVIEWERS
    Energy/Utilities Company23%
    Financial Services Firm17%
    Computer Software Company11%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Manufacturing Company15%
    Energy/Utilities Company13%
    Financial Services Firm11%
    Computer Software Company11%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business27%
    Midsize Enterprise13%
    Large Enterprise60%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise8%
    Large Enterprise78%
    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.
    765,234 professionals have used our research since 2012.

    Databricks is ranked 1st in Data Science Platforms with 77 reviews while TIBCO Spotfire is ranked 13th in BI (Business Intelligence) Tools with 65 reviews. Databricks is rated 8.2, while TIBCO Spotfire is rated 8.2. 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 TIBCO Spotfire writes "A robust BI tool, with good dashboard features and adverse event tracking". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Azure Stream Analytics, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, QlikView, Qlik Sense and SQL Server.

    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.