Dremio vs TIBCO Spotfire comparison

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Dremio Logo
2,683 views|2,043 comparisons
100% willing to recommend
TIBCO Logo
2,264 views|1,581 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dremio 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).
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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
"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.""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.""Dremio allows querying the files I have on my block storage or object storage.""Dremio gives you the ability to create services which do not require additional resources and sterilization.""Everyone uses Dremio in my company; some use it only for the analytics function."

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"The out-of-the-box features are simple and easy to use across the board.""It’s stable and straightforward.""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.""One of the main features is integrated statistical analysis.""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.""From a scalability standpoint, I would say it's pretty fantastic.""R and automation services.""It's scalable."

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Cons
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.""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.""It shows errors sometimes.""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.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."

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"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.""One aspect where Spotfire could improve is its global recognition, especially in terms of support.""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.""We would like an easier way to get the product to the cloud. Right now, we have the on-premise version, and we would like to find a way to make it easier to migrate it over to the cloud.""I would like to see the visualization library in this solution expanded, so that I can increase what I can offer to our clients.""When it comes to data manipulation, there are features which are good, but one of the features which has really been missing in Spotfire is an offline ability for data manipulation.""Compared to competitors, the UI is quite dated.""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."

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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."
  • More Dremio 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: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: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
    9th
    Views
    2,683
    Comparisons
    2,043
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    Views
    2,264
    Comparisons
    1,581
    Reviews
    10
    Average Words per Review
    452
    Rating
    8.3
    Comparisons
    Databricks logo
    Compared 42% of the time.
    Snowflake logo
    Compared 18% of the time.
    Starburst Enterprise logo
    Compared 12% of the time.
    Amazon Redshift logo
    Compared 4% of the time.
    Also Known As
    Spotfire
    Learn More
    Dremio
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    Overview

    Dremio is a data lake query engine tool that creates PDSs and VDSs on top of S3 buckets. It is used for managing simple ad-hoc queries and as a greater layer for ad-hoc queries. The most valuable features of Dremio include its ability to sit on top of any data storage, generate refresh reflections and create visuals, manage changes effectively through data lineage and data providence capabilities, use open-source, and address the problem of data transfer when working with large datasets. The use cases are broad, allowing for high-performance queries from a data lake.

    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
    UBS, TransUnion, Quantium, Daimler, OVH
    Allergan, ASSS de Montreal, Avantium, Blue River, Bank of Montreal, Citibank, FrieslandCampina, Hellmann Logistics, Merck, Novartis
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    REVIEWERS
    Energy/Utilities Company22%
    Financial Services Firm17%
    Computer Software Company11%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Manufacturing Company15%
    Energy/Utilities Company12%
    Financial Services Firm12%
    Computer Software Company11%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business27%
    Midsize Enterprise13%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise8%
    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.
    769,789 professionals have used our research since 2012.

    Dremio is ranked 9th in Data Science Platforms with 6 reviews while TIBCO Spotfire is ranked 10th in BI (Business Intelligence) Tools with 66 reviews. Dremio is rated 8.6, while TIBCO Spotfire is rated 8.2. 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 TIBCO Spotfire writes "A robust BI tool, with good dashboard features and adverse event tracking". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, QlikView, Qlik Sense and Amazon QuickSight.

    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.