Azure Anomaly Detector vs. Google Cloud Dataflow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Anomaly Detector
Score 8.9 out of 10
N/A
Anomaly Detector on Microsoft's Azure is an AI service that helps foresee problems. Users can embed time-series anomaly detection capabilities into apps to help users identify problems quickly. Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for the data to support high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. The service can be customized to detect any…N/A
Google Cloud Dataflow
Score 8.6 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
Azure Anomaly DetectorGoogle Cloud Dataflow
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Anomaly DetectorGoogle Cloud Dataflow
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Azure Anomaly DetectorGoogle Cloud Dataflow
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Azure Anomaly Detector
-
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
Azure Anomaly DetectorGoogle 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
Azure Anomaly DetectorGoogle Cloud Dataflow
Likelihood to Recommend
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Azure Anomaly DetectorGoogle Cloud Dataflow
Likelihood to Recommend
Microsoft
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.
Read full review
Pros
Microsoft
No answers on this topic
Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
Read full review
Cons
Microsoft
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.
Read full review
Usability
Microsoft
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.
Read full review
Alternatives Considered
Microsoft
No answers on this topic
Google
Google Cloud Dataproc Cloud Datafusion
Read full review
Return on Investment
Microsoft
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
Read full review
ScreenShots