AWS Data Pipeline vs. Hevo Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Pipeline
Score 9.2 out of 10
N/A
AWS Data Pipeline is a web service used to process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, users can regularly access data where it’s stored, transform and process it at scale, and transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline is designed to help create complex data processing workloads that are fault tolerant,…N/A
Hevo
Score 8.0 out of 10
N/A
Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows to save engineering time/week and drive faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. The platform boasts 500 data-driven companies spread across 35+…
$0
per month
Pricing
AWS Data PipelineHevo Data
Editions & Modules
No answers on this topic
Free
$0
per month
Starter
$149 to $999
Per Month (Paid Yearly)
Business
Custom Pricing
Offerings
Pricing Offerings
AWS Data PipelineHevo
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsHevo offers a Free Plan and a 14-day Free Trial for all the paid plans.
More Pricing Information
Community Pulse
AWS Data PipelineHevo Data
Considered Both Products
AWS Data Pipeline
Hevo
Chose Hevo
Fivetran is a really good product, but it is extremely pricey. Especially if you don't have dollar buying power in your country. If you don't require complex transforms and data governance tools then Hevo is much cheaper and probably a better fit for purpose product. …
Chose Hevo
Much lower cost and faster syncs but not as good support. More flexible in terms of pricing, though. Fivetran requires annual contracts and is very inflexible.
Best Alternatives
AWS Data PipelineHevo Data
Small Businesses
Skyvia
Skyvia
Score 9.9 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.7 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.7 out of 10
Enterprises
Control-M
Control-M
Score 9.3 out of 10
Control-M
Control-M
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Data PipelineHevo Data
Likelihood to Recommend
10.0
(0 ratings)
8.8
(0 ratings)
User Testimonials
AWS Data PipelineHevo Data
Likelihood to Recommend
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. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.
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Hevo Data is professionally sound in data management and credible analytical processes, where there is proper sourcing and data connectivity, from the different sources. Further, Hevo Data brings huge transformation and analytical approaches, which increases the viability of every operation in the company, and results are credibly issued. The integration that Hevo Data provides is comprehensively sound, and it gives quality coordination.
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Pros
  • Helps you easily create complex data processing workloads
  • Fault tolerant
  • Highly available
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  • 5 Minute Sync with Salesforce
  • Transformations
  • Auto Schema Mapping
  • Push to Salesforce
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Cons
  • Pipeline Stuck in Pending Status
  • Pipeline Component Stuck in Waiting for Runner Status
  • EMR Cluster Fails With Error
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  • If we are getting data from other sheets then sheet which is connected to Hevo Data doesn't updates in real-time.
  • Hevo Data change time in it's workbench on its own. For e.g. If our database timestamp is in UTC format then Hevo Data will automatically change the time to IST but if I run the same code outside the Hevo Data workbench then time is still in UTC. This creates lots of confusion while working on Hevo Data.
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Alternatives Considered
AWS data pipelines are easy to use over data factory for data engineers
Read full review
1. Cost efficient 2. Creation of automated pipeline 3. Can load data from multiple data sources 4. Updates data in near real-time - We were able to get near real time insights from the data model which we have created in hevo 5. It has good integration with different BI tools
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Return on Investment
  • Easy to use
  • Data engineers are able to create the data pipelines quickly and effectively
  • Scalable and Fault tolerant
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  • Increased Time
  • Decreased Failures
  • Increased User Happiness
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ScreenShots

Hevo Screenshots

Screenshot of TransformationsScreenshot of Pipeline OverviewScreenshot of Schema MapperScreenshot of Select Source TypeScreenshot of Query EditorScreenshot of Transformations