AWS Glue vs TIBCO Spotfire comparison

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Amazon Web Services (AWS) Logo
11,729 views|8,292 comparisons
92% 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 AWS Glue and TIBCO Spotfire based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed AWS Glue vs. TIBCO Spotfire Report (Updated: March 2024).
772,649 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
"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure.""The solution is highly user-friendly, and its features are easy to use. The new addition of AWS Glue Data Catalog is also very beneficial, making the tool even more helpful for its users.""The most valuable feature of AWS Glue is scalability.""Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs.""The solution is stable and reliable.""Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you.""One of the best features of the solution is its ability to easily integrate with other AWS services.""I appreciate AWS Glue for its cost-effectiveness."

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"Live Query data on demand, R and Python integration, and the ability to write HTML and JavaScript text areas are all valuable features.""I appreciate Spotfire's range of visualization options, advanced analytics features, and seamless integration with other TIBCO products.""Spotfire is excellent for scientific applications, especially because of its integration with RNG.""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.""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.""It allows users to quickly analyze data from a variety of sources and visualize it with powerful, interactive graphs, and charts.""TIBCO Spotfire is easy to use. We initiated Spotfire as POC, with support from a tech team based in South Africa. While they assisted with the setup, we conducted the POC ourselves.""The solution is an affordable one."

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Cons
"I have encountered challenges with multi-region support.""Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS.""I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features.""If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data.""One area that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools.""There should be more connectors for different databases.""The price of the solution could improve.""In terms of improvement, the performance of AWS Glue could be faster."

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"The number of charts available out of the box in Spotfire can be enhanced.""Personalising Spotfire, as a whole, is painful and is something that could be made easier.""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 solution might be generic.""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.""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 initial setup is complicated and needs experience and knowledge.""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."

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Pricing and Cost Advice
  • "The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."
  • "It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."
  • "Its price is good. We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. It is good in terms of the financial planning of the company, and it is a good way to estimate the cost. It is also simple for our clients. In my opinion, it is one of the best tools in the market for ETL processes because of the fact that you pay as you use, which separates it from other big tools such as PowerCenter, Pentaho Data Integration, and Talend."
  • "Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."
  • "This solution is affordable and there is an option to pay for the solution based on your usage."
  • "AWS Glue is quite costly, especially for small organizations."
  • "AWS Glue uses a pay-as-you-go approach which is helpful. The price of the overall solution is low and is a great advantage."
  • "The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."
  • More AWS Glue 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:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer:We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in… more »
    Top Answer:AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or… more »
    Top Answer:TIBCO Spotfire is easy to use. We initiated Spotfire as POC, with support from a tech team based in South Africa. While they assisted with the setup, we conducted the POC ourselves.
    Top Answer:The solution is pricey. Most organizations might find it costly because very few are utilizing these features. We initially purchased the perpetual licensing. Additionally, there was an extra cost for… more »
    Ranking
    1st
    Views
    11,729
    Comparisons
    8,292
    Reviews
    32
    Average Words per Review
    419
    Rating
    7.8
    Views
    2,264
    Comparisons
    1,581
    Reviews
    10
    Average Words per Review
    452
    Rating
    8.3
    Comparisons
    Also Known As
    Spotfire
    Learn More
    Overview

    AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.

    AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.

    The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.

    AWS Glue Features

    AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:

    • Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.

    • Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.

    • Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.

    • FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.

    • Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.

    • AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.

    • AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.

    • AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.

    • Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.

    • AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

    AWS Glue Benefits

    AWS Glue offers a wide range of benefits for its users. These benefits include:

    • Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.

    • The solution is serverless, which allows for a lower total cost of ownership.

    • AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.

    • The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.

    • AWS Glue does not require additional payment for managing and enforcing schemas for data streams.

    • The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

    Reviews from Real Users

    Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.

    Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.

    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
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Allergan, ASSS de Montreal, Avantium, Blue River, Bank of Montreal, Citibank, FrieslandCampina, Hellmann Logistics, Merck, Novartis
    Top Industries
    REVIEWERS
    Computer Software Company47%
    Financial Services Firm18%
    Pharma/Biotech Company12%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company14%
    Manufacturing Company8%
    Insurance Company7%
    REVIEWERS
    Energy/Utilities Company22%
    Financial Services Firm17%
    Computer Software Company11%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Manufacturing Company16%
    Energy/Utilities Company12%
    Financial Services Firm12%
    Computer Software Company10%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise13%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise72%
    REVIEWERS
    Small Business27%
    Midsize Enterprise13%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise9%
    Large Enterprise77%
    Buyer's Guide
    AWS Glue vs. TIBCO Spotfire
    March 2024
    Find out what your peers are saying about AWS Glue vs. TIBCO Spotfire and other solutions. Updated: March 2024.
    772,649 professionals have used our research since 2012.

    AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while TIBCO Spotfire is ranked 10th in BI (Business Intelligence) Tools with 67 reviews. AWS Glue is rated 7.8, while TIBCO Spotfire is rated 8.4. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". 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". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Informatica Cloud Data Integration, SSIS and Talend Open Studio, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, QlikView, Qlik Sense and Amazon QuickSight. See our AWS Glue vs. TIBCO Spotfire report.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration 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.