Databricks vs TIBCO Spotfire comparison

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Databricks Logo
28,975 views|18,474 comparisons
96% willing to recommend
TIBCO Logo
2,334 views|1,650 comparisons
96% willing to recommend
Comparison Buyer's Guide
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: April 2024).
768,578 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
"I work in the data science field and I found Databricks to be very useful.""It's very simple to use Databricks Apache Spark.""I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well.""Databricks gives you the flexibility of using several programming languages independently or in combination to build models.""Databricks helps crunch petabytes of data in a very short period of time.""The solution is built from Spark and has integration with MLflow, which is important for our use case.""I like cloud scalability and data access for any type of user.""The solution is an impressive tool for data migration and integration."

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"It allows users to quickly analyze data from a variety of sources and visualize it with powerful, interactive graphs, and charts.""We particularly like the data angling feature of this solution. This gives us the ability to work on data transformations, join files, and carry out other data preparation tasks all in a single tool.""From a scalability standpoint, I would say it's pretty fantastic.""The ability to create a real-time data mark, using just one piece of software, is the best feature of this product.""R and automation services.""We used it pretty heavily in gathering data, which goes to our VPs. They are able to base their next revenue planning based on this metric. So, it has been invaluable.""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."

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Cons
"It's not easy to use, and they need a better UI.""If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks.""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.""Can be improved by including drag-and-drop features.""The initial setup is difficult.""It would be very helpful if Databricks could integrate with platforms in addition to Azure.""There would also be benefits if more options were available for workers, or the clusters of the two points.""The product needs samples and templates to help invite users to see results and understand what the product can do."

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"The data compression has room for improvement.""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.""The handling and consumption of realtime data could be improved.""Personalising Spotfire, as a whole, is painful and is something that could be made easier.""The initial setup can be difficult.""The design of the UI could be improved.""We would like to see some development in the visualization aspect of this solution, as they can currently only be configured in the cloud, which limits us to one endpoint. It would be helpful if this could be integrated with other tools.""The initial setup of TIBCO Spotfire is in the middle range of difficulty. The initial setup of Power BI is easier."

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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 solution is an affordable one.
    Top Answer:There were a couple of issues with Spotfire. But in the new releases, they have they have covered them. We had some challenges with respect to what they will say, compatibility issues for formatting… more »
    Ranking
    1st
    Views
    28,975
    Comparisons
    18,474
    Reviews
    47
    Average Words per Review
    441
    Rating
    8.3
    Views
    2,334
    Comparisons
    1,650
    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 Company22%
    Financial Services Firm17%
    Computer Software Company11%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Manufacturing Company15%
    Energy/Utilities Company12%
    Financial Services Firm11%
    Computer Software Company10%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business27%
    Midsize Enterprise13%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise9%
    Large Enterprise78%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    Databricks is ranked 1st in Data Science Platforms with 78 reviews while TIBCO Spotfire is ranked 13th in BI (Business Intelligence) Tools with 66 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, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, Qlik Sense, QlikView and Palantir Foundry.

    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.