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

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"It’s stable and straightforward.""The out-of-the-box features are simple and easy to use across the board.""R and automation services.""The solution is an affordable one.""This solution allows us to integrate data from across all client departments, for effective reporting via a single dashboard.""The ability to create a real-time data mark, using just one piece of software, is the best feature of this product.""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
"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.""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.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.""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."

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"The data compression has room for improvement.""The handling and consumption of realtime data could be improved.""The solution might be generic.""We encountered difficulties connecting the special data sets, as the post data set did not contain any shared columns, making it difficult to establish a connection between the data sets.""The initial setup of TIBCO Spotfire is in the middle range of difficulty. The initial setup of Power BI is easier.""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.""Compared to competitors, the UI is quite dated.""The initial setup is complicated and needs experience and knowledge."

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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."
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  • "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 43% of the time.
    Snowflake logo
    Compared 17% 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 analytics platform designed to simplify and expedite the data analysis process by enabling direct querying across multiple data sources without the need for data replication. This solution stands out due to its approach to data lake transformation, offering tools that allow users to access and query data stored in various formats and locations as if it were all in a single relational database.

    At its core, Dremio facilitates a more streamlined data management experience. It integrates easily with existing data lakes, allowing organizations to continue using their storage of choice, such as AWS S3, Microsoft ADLS, or Hadoop, without data migration. Dremio supports SQL queries, which means it seamlessly integrates with familiar BI tools and data science frameworks, enhancing user accessibility and reducing the learning curve typically associated with adopting new data technologies.

    What Are Dremio's Key Features?

    • Data Reflections: Reduces query times by creating optimized representations of source data, which can accelerate performance without the complexity of traditional data warehousing solutions.
    • Semantic Layer: Allows users to define business metrics and dimensions centrally, ensuring consistency and governance across all analytics tools.
    • Built-in Security Features: Provides robust security measures, including column- and row-level security, ensuring compliance with data governance and privacy standards.
    • Support for Multiple Data Formats and Sources: Enables querying directly against a variety of data formats (Parquet, JSON, etc.) and sources without the need for conversion or replication.

    What Benefits Should Users Expect?

    When evaluating Dremio, potential users should look for feedback on its query performance, especially in environments with large and complex data sets. Reviews might highlight the efficiency gains from using Dremio’s data reflections and its ability to integrate with existing BI tools without significant changes to underlying data structures. Also, check how other users evaluate its ease of deployment and scalability, particularly in hybrid and cloud environments.

    How is Dremio Implemented Across Different Industries?

    Dremio is widely applicable across various industries, including finance, healthcare, and retail, where organizations benefit from rapid, on-demand access to large volumes of data spread across disparate systems. For instance, in healthcare, Dremio can be used to analyze patient outcomes across different data repositories, improving treatment strategies and operational efficiencies.

    What About Dremio’s Pricing, Licensing, and Support?

    Dremio offers a flexible pricing model that caters to different sizes and types of businesses, including a free community version for smaller teams and proof-of-concept projects. Their enterprise version is subscription-based, with pricing varying based on the deployment scale and support needs. Customer support is comprehensive, featuring dedicated assistance, online resources, and community support.

    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 Firm31%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    REVIEWERS
    Energy/Utilities Company22%
    Financial Services Firm17%
    Computer Software Company11%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Manufacturing Company16%
    Energy/Utilities Company12%
    Financial Services Firm11%
    Computer Software Company10%
    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
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    771,170 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 67 reviews. Dremio is rated 8.6, while TIBCO Spotfire is rated 8.4. 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 "Empowers us to extract insights and provide valuable business analytics to support decision-making within our organization". 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 TIBCO Jaspersoft.

    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.