Talend Data Management Platform vs Toad Data Point comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Talend Data Management Platform and Toad Data Point based on real PeerSpot user reviews.

Find out in this report how the two Data Integration Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Talend Data Management Platform vs. Toad Data Point Report (Updated: November 2022).
656,474 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
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved.""StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes.""I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks.""It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution.""In StreamSets, everything is in one place."

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"I like everything about this product, but the biggest thing is the ease of use.""The most valuable feature is the data loading and scripting language"

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"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources.""The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

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Cons
"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful.""If you use JDBC Lookup, for example, it generally takes a long time to process data.""The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time.""Sometimes, when we have large amounts of data that is very efficiently stored in Hadoop or Kafka, it is not very efficient to run it through StreamSets, due to the lack of efficiency or the resources that StreamSets is using.""We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."

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"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced.""I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."

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"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues.""Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

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Pricing and Cost Advice
  • "StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."
  • "It has a CPU core-based licensing, which works for us and is quite good."
  • "There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."
  • "The pricing is good, but not the best. They have some customized plans you can opt for."
  • More StreamSets Pricing and Cost Advice →

  • "The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."
  • More Talend Data Management Platform Pricing and Cost Advice →

  • "The cost of this product is reasonable."
  • "The price of Toad Data Point was approximately $500 annually."
  • More Toad Data Point Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It is really easy to set up and the interface is easy to use.
    Top Answer:We've seen a couple of cases where it appears to have a memory leak or a similar problem. It grows for a bit and then… more »
    Top Answer:We typically use it to transport our Oracle raw datasets up to Microsoft Azure, and then into SQL databases there.
    Top Answer:What is the OLAP that you are using? Hosted in Cloud or on-premise?  The target DB should have its tool to extract… more »
    Top Answer:The most valuable feature is the data loading and scripting language
    Top Answer:The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs… more »
    Top Answer:The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would… more »
    Top Answer:The price of Toad Data Point was approximately $500 annually.
    Top Answer:Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the… more »
    Comparisons
    Also Known As
    Talend Integration Suite
    Learn More
    Overview

    StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.

    Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.

    With StreamSets, you can deliver the continuous data that drives the connected enterprise.

    Talend offers robust data integration in an open and scalable architecture to maximize its value to your business. Simple, graphical tools and wizards get you up and running quickly with native code generation that streamlines development.
    Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.
    Offer
    Learn more about StreamSets
    Learn more about Talend Data Management Platform
    Learn more about Toad Data Point
    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    Accent Group, Acticall, Allianz Global Investors Distributors LLC, Car & Boat Media, Cdiscount.com
    Concordia University
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company14%
    Manufacturing Company7%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company21%
    Financial Services Firm10%
    Comms Service Provider9%
    Energy/Utilities Company8%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company15%
    Insurance Company11%
    Government7%
    Company Size
    REVIEWERS
    Small Business22%
    Midsize Enterprise33%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business38%
    Midsize Enterprise23%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise12%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise8%
    Large Enterprise75%
    Buyer's Guide
    Talend Data Management Platform vs. Toad Data Point
    November 2022
    Find out what your peers are saying about Talend Data Management Platform vs. Toad Data Point and other solutions. Updated: November 2022.
    656,474 professionals have used our research since 2012.

    Talend Data Management Platform is ranked 18th in Data Integration Tools with 2 reviews while Toad Data Point is ranked 26th in Data Integration Tools with 2 reviews. Talend Data Management Platform is rated 9.0, while Toad Data Point is rated 9.0. The top reviewer of Talend Data Management Platform writes "Allows us to capture large volumes of data from multiple sources and load it to the data lake". On the other hand, the top reviewer of Toad Data Point writes "Easy to learn, good connectivity to multiple data sources, and helpful supprt". Talend Data Management Platform is most compared with Talend Data Fabric, SAP Data Services, Talend Open Studio, IBM InfoSphere DataStage and Oracle Data Integrator (ODI), whereas Toad Data Point is most compared with SSIS, SAS Enterprise Guide, Alteryx, Oracle Data Integrator (ODI) and Azure Data Factory. See our Talend Data Management Platform vs. Toad Data Point report.

    See our list of best Data Integration Tools vendors and best Cloud Data Integration vendors.

    We monitor all Data Integration Tools 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.