AWS Data Pipeline vs. Cribl Stream

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
Cribl Stream
Score 7.1 out of 10
N/A
Cribl Stream is a vendor-agnostic observability pipeline used to collect, reduce, enrich, normalize, and route data from any source to any destination within an existing data infrastructure. It is used to achieve full control of an organization's data stream.N/A
Pricing
AWS Data PipelineCribl Stream
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
AWS Data PipelineCribl Stream
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS Data PipelineCribl Stream
Top Pros

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Top Cons

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Best Alternatives
AWS Data PipelineCribl Stream
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 PipelineCribl Stream
Likelihood to Recommend
10.0
(1 ratings)
10.0
(1 ratings)
User Testimonials
AWS Data PipelineCribl Stream
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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Cribl Inc.
Advantages - if you'd like to re-shape/manipulate data, Cribl LogStream comes to help! - If you'd like to enrich data within data pipeline without any struggle, Cribl LogStream is the one! - If you'd like to reduce data size, cribl is the one! Disadvantages - there is ML/AI module for streaming data. - There is no sigma integration for security use cases.
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Pros
Amazon AWS
  • Helps you easily create complex data processing workloads
  • Fault tolerant
  • Highly available
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Cribl Inc.
  • data manipulation
  • Data enrichment
  • re-shape your data from any format to any
  • onboard any data from anywhere
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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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Cribl Inc.
  • Implementation of sigma use cases within data pipeline
  • Machine learning features
  • creating pipeline
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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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Cribl Inc.
-Cribl LogStream has a huge growing community and plugin play packs that help you to onboard and reduce your size within 5 min. -Friendly user interface -The broker feature saves your life against regulations. - field extraction's never been so easy before. - multiple sources and destinations feature to give you an easy playground.
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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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Cribl Inc.
  • with reshaping and manipulation our indexing rate decrease over %40
  • Data onboarding SLAs is decrease almost over %50
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ScreenShots