Google Managed data processing service
In our company we are using Google Cloud Dataflow to create data pipe lines for data transformation and ingestion use cases before loading …
Overview
What is Google Cloud Dataflow?
Google offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes.
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What is Google Cloud Dataflow?
Google offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Alternatives Pricing
What is Azure Stream Analytics?
Microsoft offers Azure Stream Analytics for IoT and connected devices, supporting real-time analytics and reporting.
What is Cloudera Data Platform?
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business…
Product Details
- About
- Tech Details
What is Google Cloud Dataflow?
Google Cloud Dataflow Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Reviews and Ratings
(33)Reviews
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June 20, 2022
Google Managed data processing service
Score 8 out of 10
Vetted Review
Verified User
In our company we are using Google Cloud Dataflow to create data pipe lines for data transformation and ingestion use cases before loading data into database. Flexibility to create our own flex templates for any special case handling. Capability to fit streaming and batch data loads are some benefits. We have some real time loads, which Dataflow helps alot.
- Streaming, Real time work load
- Batch processing
- Auto scaling
- flexible pricing
- inbuild template options can be expanded
- more data connector options
- easy of use
75%
7.5
- 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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