Fivetran vs. Google Cloud Dataflow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Fivetran
Score 8.2 out of 10
N/A
Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…
$0.01
Google Cloud Dataflow
Score 8.0 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
FivetranGoogle Cloud Dataflow
Editions & Modules
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
No answers on this topic
Offerings
Pricing Offerings
FivetranGoogle Cloud Dataflow
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
FivetranGoogle Cloud Dataflow
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
FivetranGoogle Cloud Dataflow
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Fivetran
7.6
6 Ratings
8% below category average
Google Cloud Dataflow
-
Ratings
Connect to traditional data sources8.66 Ratings00 Ratings
Connecto to Big Data and NoSQL6.64 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Fivetran
7.5
5 Ratings
11% below category average
Google Cloud Dataflow
-
Ratings
Simple transformations7.55 Ratings00 Ratings
Complex transformations7.53 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Fivetran
7.2
6 Ratings
13% below category average
Google Cloud Dataflow
-
Ratings
Data model creation7.25 Ratings00 Ratings
Metadata management8.63 Ratings00 Ratings
Business rules and workflow4.34 Ratings00 Ratings
Collaboration8.93 Ratings00 Ratings
Testing and debugging7.12 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Fivetran
6.8
5 Ratings
19% below category average
Google Cloud Dataflow
-
Ratings
Integration with data quality tools6.74 Ratings00 Ratings
Integration with MDM tools7.02 Ratings00 Ratings
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Fivetran
-
Ratings
Google Cloud Dataflow
7.5
1 Ratings
8% below category average
Real-Time Data Analysis00 Ratings8.01 Ratings
Data Ingestion from Multiple Data Sources00 Ratings8.01 Ratings
Low Latency00 Ratings8.01 Ratings
Linear Scale-Out00 Ratings7.01 Ratings
Machine Learning Automation00 Ratings7.01 Ratings
Data Enrichment00 Ratings7.01 Ratings
Best Alternatives
FivetranGoogle Cloud Dataflow
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10
Amazon Kinesis
Amazon Kinesis
Score 8.2 out of 10
Medium-sized Companies
InfoSphere
InfoSphere
Score 8.2 out of 10
Confluent Platform
Confluent Platform
Score 7.5 out of 10
Enterprises
InfoSphere
InfoSphere
Score 8.2 out of 10
Spotfire Streaming
Spotfire Streaming
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
FivetranGoogle Cloud Dataflow
Likelihood to Recommend
8.5
(7 ratings)
8.0
(1 ratings)
Usability
9.0
(1 ratings)
-
(0 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
FivetranGoogle Cloud Dataflow
Likelihood to Recommend
Fivetran
Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.
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Google
Based on my experience, streaming / real time / machine learning / AI type of processing and batch processing which needs less transformation are very well suited. Work load that needs complex transformation / multiple hops gets very complicated to implement. New feature like Dataflow SQL option will come in handy for sql heavy users.
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Pros
Fivetran
  • Easily connects to source data using delivered connectors
  • Transforms data into standard models and schemas
  • Has very good documentation to help quickly setup connectors
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Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
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Cons
Fivetran
  • More detailed logging
  • More flexible choices for time range over which records are synced
  • More options for masking and excluding sensitive data
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Google
  • inbuild template options can be expanded
  • more data connector options
  • easy of use
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Usability
Fivetran
Just need to input connection info.
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Google
No answers on this topic
Performance
Fivetran
It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.
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Google
No answers on this topic
Alternatives Considered
Fivetran
We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.
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Google
Google Cloud Dataproc Cloud Datafusion
Read full review
Return on Investment
Fivetran
  • Development cost have reduced for each connector
  • The pay-per-use model is still not out their which requires lot of overhead cost
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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