TrustRadius

Google Cloud Dataflow vs. Striim

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Dataflow
Score 8.8 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
Striim
Score 8.3 out of 10
N/A
Striim is an enterprise-grade platform that offers continuous real-time data ingestion, high-speed in-flight stream processing, and sub-second delivery of data to cloud and on-premises endpoints.
$4,400
per month per 100 million Striim events
Pricing
Google Cloud DataflowStriim
Editions & Modules
No answers on this topic
Striim Cloud Enterprise Platform
$4,400
per month per 100 million Striim events
Striim Platform
$20,000
per year per VCPU
Offerings
Pricing Offerings
Google Cloud DataflowStriim
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Google Cloud DataflowStriim
Features
Google Cloud DataflowStriim
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Google Cloud Dataflow
7.3
2 Ratings
9% below category average
Striim
-
Ratings
Real-Time Data Analysis8.02 Ratings00 Ratings
Visualization Dashboards5.01 Ratings00 Ratings
Data Ingestion from Multiple Data Sources9.02 Ratings00 Ratings
Low Latency9.02 Ratings00 Ratings
Integrated Development Tools6.01 Ratings00 Ratings
Data wrangling and preparation7.01 Ratings00 Ratings
Linear Scale-Out8.02 Ratings00 Ratings
Machine Learning Automation6.02 Ratings00 Ratings
Data Enrichment8.02 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Google Cloud Dataflow
-
Ratings
Striim
10.0
2 Ratings
19% above category average
Connect to traditional data sources00 Ratings10.02 Ratings
Connecto to Big Data and NoSQL00 Ratings10.01 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Google Cloud Dataflow
-
Ratings
Striim
8.9
2 Ratings
10% above category average
Simple transformations00 Ratings10.02 Ratings
Complex transformations00 Ratings7.82 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Google Cloud Dataflow
-
Ratings
Striim
8.5
2 Ratings
8% above category average
Data model creation00 Ratings8.42 Ratings
Metadata management00 Ratings8.42 Ratings
Business rules and workflow00 Ratings9.01 Ratings
Collaboration00 Ratings7.82 Ratings
Testing and debugging00 Ratings7.22 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Google Cloud Dataflow
-
Ratings
Striim
9.5
1 Ratings
18% above category average
Integration with data quality tools00 Ratings9.01 Ratings
Integration with MDM tools00 Ratings10.01 Ratings
Best Alternatives
Google Cloud DataflowStriim
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Skyvia
Skyvia
Score 10.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 9.3 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud DataflowStriim
Likelihood to Recommend
8.0
(1 ratings)
8.8
(2 ratings)
User Testimonials
Google Cloud DataflowStriim
Likelihood to Recommend
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.
Verified User
Anonymous
Read full review
Striim
Below samples are the well suited use cases; - Change data capture feature seamlessly works on popular RDMS. You can make enrichments on several data sources within the same Striim application. - You can install stand alone agents and start streaming log files to Striim servers. This is mainly useful for security operations or audit trail use cases.
Verified User
Anonymous
Read full review
Pros
Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Striim
  • GoldenGate Trail reader which iss faster than Oracle CDC. It does not used logminer, hence there is no load on source Oracle database.
  • Easy installation and upgrade in 5 minutes
  • Support is very good. Fast and user friendly.
RJ
Read full review
Cons
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.
Verified User
Anonymous
Read full review
Striim
  • License a bit expensive
RJ
Read full review
Usability
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.
Verified User
Anonymous
Read full review
Striim
No answers on this topic
Alternatives Considered
Google
Google Cloud Dataproc Cloud Datafusion
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Striim
Faster, checkpointing better. CDC works well. The loading is faster. Easy upgrade and installation. Uses less resource.
RJ
Read full review
Return on Investment
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
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Striim
  • We got the license at a discount price
RJ
Read full review
ScreenShots