AWS Data Pipeline [EOL] vs Toad Data Point comparison

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Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and Toad Data Point based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: March 2024).
768,415 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
"It is a stable solution...It is a scalable solution.""The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."

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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
"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there.""The user-defined functions have shortcomings in AWS Data Pipeline."

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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
  • "The way we use it, I think it is fair as we're getting a good value for money compared to having a server or some other data pipeline."
  • "I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price."
  • More AWS Data Pipeline [EOL] 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:The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.
    Top Answer:I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price.
    Top Answer:The user-defined functions have shortcomings in AWS Data Pipeline. The user-defined functions could be one of the areas where I can write a custom function and embed it as a part of AWS Data Pipeline… 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 give you the parameters that you could input. The auto-formatting feature is… 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 strongest programmer. If the software could help them write queries correctly it… more »
    Ranking
    Unranked
    In Cloud Data Integration
    38th
    out of 100 in Data Integration
    Views
    771
    Comparisons
    649
    Reviews
    1
    Average Words per Review
    513
    Rating
    8.0
    Comparisons
    Learn More
    Overview

    AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. ... AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

    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.
    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Concordia University
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm18%
    Government9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Financial Services Firm34%
    Healthcare Company11%
    Government8%
    Insurance Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise15%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise5%
    Large Enterprise84%
    Buyer's Guide
    Cloud Data Integration
    March 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
    768,415 professionals have used our research since 2012.

    AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Toad Data Point is ranked 38th in Data Integration with 2 reviews. AWS Data Pipeline [EOL] is rated 8.0, while Toad Data Point is rated 9.0. The top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". On the other hand, the top reviewer of Toad Data Point writes "Easy to learn, good connectivity to multiple data sources, and helpful supprt". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Toad Data Point is most compared with SSIS, SAS Enterprise Guide, Alteryx, Oracle Data Integrator (ODI) and Azure Data Factory.

    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.