AWS Data Pipeline vs. Panoply

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Pipeline
Score 9.5 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
Panoply
Score 8.5 out of 10
N/A
Panoply, from Sqream since the late 2021 acquisition, is an ETL-less, smart end-to-end data management system built for the cloud. Panoply specializes as a unified ELT and Data Warehouse platform with integrated visualization capabilities and storage optimization algorithms.N/A
Pricing
AWS Data PipelinePanoply
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Data PipelinePanoply
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPanoply offers simple, transparent pricing. All plans have a 21-day free trial—no credit card required. You'll get an account executive and data architect to help you get the most out of your smart data warehouse. Pricing starts at $325/month.
More Pricing Information
Best Alternatives
AWS Data PipelinePanoply
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10
Skyvia
Skyvia
Score 9.6 out of 10
Medium-sized Companies
Astera Centerprise
Astera Centerprise
Score 8.8 out of 10
Astera Centerprise
Astera Centerprise
Score 8.8 out of 10
Enterprises
Astera Centerprise
Astera Centerprise
Score 8.8 out of 10
Astera Centerprise
Astera Centerprise
Score 8.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Data PipelinePanoply
Likelihood to Recommend
10.0
(1 ratings)
10.0
(4 ratings)
Usability
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
AWS Data PipelinePanoply
Likelihood to Recommend
Amazon AWS
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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Sqream Technologies
Panoply is well suited for companies with large amounts of data that do not want all users of the company to see or view. It is appropriate for companies that have to store data for several years in case clients need the data. It is not made to constantly be downloading or looking at the documents.
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Pros
Amazon AWS
  • Helps you easily create complex data processing workloads
  • Fault tolerant
  • Highly available
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Sqream Technologies
  • Ease of data integrations. Importing data into the data warehouse is a point-and-click effort.
  • Automated data modeling. The data is modeled in a way that facilitates analysis without having to look into it myself.
  • Query speed. Automated query optimization has really sped up our dashboards.
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Cons
Amazon AWS
  • Pipeline Stuck in Pending Status
  • Pipeline Component Stuck in Waiting for Runner Status
  • EMR Cluster Fails With Error
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Sqream Technologies
  • The user interface could use some improvement for analytical tools. Apart from that, it’s great.
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Usability
Amazon AWS
No answers on this topic
Sqream Technologies
It’s a good choice for building a quick, multipurpose data stack for a variety of businesses needs.
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Alternatives Considered
Amazon AWS
AWS data pipelines are easy to use over data factory for data engineers
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Sqream Technologies
Panoply has much more storage and better organization tools for searching. There are better folders and tools for keeping documents secure and stored for a long period of time. It is better to offload data in mass than singular or Zip drive documents like you would do in Google Drive.
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Return on Investment
Amazon AWS
  • Easy to use
  • Data engineers are able to create the data pipelines quickly and effectively
  • Scalable and Fault tolerant
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Sqream Technologies
  • Saved time on Redshift setup
  • Saved support costs (monetary and temporal) by not having to set up on-premise
  • Widens the BI tool use in organization; lowers the barrier to entry and makes organization more productive in analytical terms
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ScreenShots

Panoply Screenshots

Screenshot of Simply click to connect 100 data sources.