Apama Community Edition vs. Google Cloud Dataflow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apama Community Edition
Score 7.0 out of 10
N/A
Apama Streaming Analytics is a platform for streaming analytics and intelligent automated action on fast-moving big data. Combining event processing, messaging, in-memory data management and visualization, this platform is presented as a complete solution to turn relentless data streams—like those produced by the Internet of Things (IoT)—into meaningful real-time metrics. It's community edition is still available, the commercial edition is not.N/A
Google Cloud Dataflow
Score 8.7 out of 10
N/A
Google offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes.N/A
Pricing
Apama Community EditionGoogle Cloud Dataflow
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apama Community EditionGoogle Cloud Dataflow
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
Features
Apama Community EditionGoogle Cloud Dataflow
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Apama Community Edition
-
Ratings
Google Cloud Dataflow
7.3
2 Ratings
9% below category average
Real-Time Data Analysis00 Ratings8.02 Ratings
Visualization Dashboards00 Ratings5.01 Ratings
Data Ingestion from Multiple Data Sources00 Ratings9.02 Ratings
Low Latency00 Ratings9.02 Ratings
Integrated Development Tools00 Ratings6.01 Ratings
Data wrangling and preparation00 Ratings7.01 Ratings
Linear Scale-Out00 Ratings8.02 Ratings
Machine Learning Automation00 Ratings6.02 Ratings
Data Enrichment00 Ratings8.02 Ratings
Best Alternatives
Apama Community EditionGoogle Cloud Dataflow
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 9.2 out of 10
Confluent
Confluent
Score 9.2 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apama Community EditionGoogle Cloud Dataflow
Likelihood to Recommend
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Apama Community EditionGoogle Cloud Dataflow
Likelihood to Recommend
Software AG
No answers on this topic
Google
It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.
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Pros
Software AG
No answers on this topic
Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
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Cons
Software AG
No answers on this topic
Google
  • More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
  • I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
  • Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.
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Usability
Software AG
No answers on this topic
Google
It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.
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Alternatives Considered
Software AG
No answers on this topic
Google
Google Cloud Dataproc Cloud Datafusion
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Return on Investment
Software AG
No answers on this topic
Google
  • cost saving from managing our own data center for ETL servers
  • consumption based pricing
  • with auto scaling feature, we were able to expand components to support work load
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ScreenShots