AWS Data Pipeline [EOL] vs Workato comparison

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100% willing to recommend
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1,714 views|1,053 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and Workato 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).
768,246 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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"It is easier to use than other technical open-source technologies.""Their automation and workflows are very strong, and you can build the workflows very easily and quickly.""It's easy to understand, makes flows and is efficient.""Stability-wise, I rate the solution a ten out of ten.""It is very easy to use. It takes complex workloads away, and it provides very smooth integration. It has got a lot of out-of-the-box connectors. It has got a lot of out-of-the-box APIs, which makes it really easy to integrate with applications for different use cases, whether it is in finance, HR, or customer operations. It is by far our favorite integration product.""Workato is low code, intuitive, and easy to use.""The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform."

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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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"A limitation is that their cloud presence is only in North America and Europe.""I would like to see the dashboarding and reporting processes improved.""The only minor drawback would be if there was a UI at the front of it, for apps and for a portal as well, it would make it really easy. It would be really useful if there were more apps capabilities.""From the deployment point of view, our customers encounter platform downtime where it does not serve the actual request on the systems.""The management dashboard in the solution is an area with shortcomings that needs improvement.""It is tedious to make a tailor-fit function.""Workato's Extract, transform, and load (ETL) and extract, load, and transform (ELT) are not very strong and could be improved for very complex transformations."

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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 →

  • "On a scale of one to ten, the pricing is around a six. We have a consumption model and the pricing is higher. If you are using any kind of ML-based approach, machine learning, or some advanced analytics, you may have to pay more."
  • "Speaking about price, I would say that it's market-related. Also, there are costs in addition to the standard license fees since different add-ons depend on what you require."
  • "Workato is an expensive solution."
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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:Workato is low code, intuitive, and easy to use.
    Top Answer:Workato's Extract, transform, and load (ETL) and extract, load, and transform (ELT) are not very strong and could be improved for very complex transformations. Workato's licensing model is a bit… more »
    Top Answer:We use Workato for iPaaS, which is like a middleware enterprise service bus. We use it for transformation, quick data migrations from one platform to another, and building connectivity. It's got over… more »
    Ranking
    Unranked
    In Cloud Data Integration
    Views
    1,714
    Comparisons
    1,053
    Reviews
    7
    Average Words per Review
    577
    Rating
    8.1
    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.

    Named a Leader in iPaaS for Dynamic Integrations by Forrester, Workato is a modern automation and integration platform. With its enterprise-grade capabilities, you can seamlessly integrate and orchestrate workflow automation across cloud and on-premise applications, files and databases without coding.

    The Workato team comes from a deep background in building integration products and will continue to expand and change the automation and integration space.

    Start your 30-day free trial here.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Panera Bread, Berkshire Hathaway, Salesforce, Box, Splunk, ComScore, IBM, Complex Media, Microsoft, Home Depot, Cisco, News Corp, Braille Institute
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm18%
    Government9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Educational Organization37%
    Computer Software Company12%
    Financial Services Firm7%
    Manufacturing Company5%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise15%
    Large Enterprise65%
    REVIEWERS
    Small Business56%
    Midsize Enterprise11%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise46%
    Large Enterprise41%
    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.
    768,246 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 Workato is ranked 8th in Integration Platform as a Service (iPaaS) with 9 reviews. AWS Data Pipeline [EOL] is rated 8.0, while Workato is rated 8.4. 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 Workato writes " Great automation and strong workflows useful for integration". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Workato is most compared with Microsoft Azure Logic Apps, MuleSoft Composer, Azure Data Factory, Oracle Integration Cloud Service and Alteryx Designer.

    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.