TrustRadius
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
Guavus SQLstream
Score 10.0 out of 10
N/A
Guavus SQLstream, developed by the company SQLstream that was acquired by Guavus in early 2019, is a streaming analytics platform for high throughput data, supporting a variety of streaming sources, data discovery, data wrangling, real-time threat detection and analytics.N/A
jKool
Score 7.0 out of 10
N/A
jKool is a streaming analytics platform from the company of the same name in Melville, that analyzes fast data such as logs, metrics, transactions in real-time so users can focus on finding insight and opportunities in their data.N/A
Pricing
Google Cloud DataflowGuavus SQLstreamjKool
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud DataflowGuavus SQLstreamjKool
Free Trial
NoNoNo
Free/Freemium Version
NoNoNo
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional Details———
More Pricing Information
Community Pulse
Google Cloud DataflowGuavus SQLstreamjKool
Features
Google Cloud DataflowGuavus SQLstreamjKool
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Google Cloud Dataflow
7.3
2 Ratings
9% below category average
Guavus SQLstream
-
Ratings
jKool
7.0
1 Ratings
13% below category average
Real-Time Data Analysis8.02 Ratings00 Ratings7.01 Ratings
Visualization Dashboards5.01 Ratings00 Ratings5.01 Ratings
Data Ingestion from Multiple Data Sources9.02 Ratings00 Ratings7.01 Ratings
Low Latency9.02 Ratings00 Ratings6.01 Ratings
Integrated Development Tools6.01 Ratings00 Ratings7.01 Ratings
Data wrangling and preparation7.01 Ratings00 Ratings6.01 Ratings
Linear Scale-Out8.02 Ratings00 Ratings8.01 Ratings
Machine Learning Automation6.02 Ratings00 Ratings8.01 Ratings
Data Enrichment8.02 Ratings00 Ratings9.01 Ratings
Best Alternatives
Google Cloud DataflowGuavus SQLstreamjKool
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
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 9.3 out of 10
Confluent
Confluent
Score 9.3 out of 10
Confluent
Confluent
Score 9.3 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
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 alternativesView all alternatives
User Ratings
Google Cloud DataflowGuavus SQLstreamjKool
Likelihood to Recommend
8.0
(1 ratings)
-
(0 ratings)
7.0
(1 ratings)
User Testimonials
Google Cloud DataflowGuavus SQLstreamjKool
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
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Thales
No answers on this topic
jKool
JKool is a decent tool for retrieving information regarding user engagement and customer feedback for your software products. With these information it's very valuable stepping stone for us to make future updates or produce new products. However, there are some downsides with jKool, two of which are there are too much clutter in the GUI and it takes sometimes to turn how things work.
Duc Minh Nguyen | TrustRadius Reviewer
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Pros
Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Thales
No answers on this topic
jKool
No answers on this topic
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
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Thales
No answers on this topic
jKool
No answers on this topic
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
Thales
No answers on this topic
jKool
No answers on this topic
Alternatives Considered
Google
Google Cloud Dataproc Cloud Datafusion
Sathish Palanivel(He/Him) | TrustRadius Reviewer
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Thales
No answers on this topic
jKool
No other product that I used is similar to jKool, it's unique product that have good amount of features that I would be opened to invest more in the future if time permit. It still has a long way to go and the first thing it can do is clean up it user interface to make it better.
Duc Minh Nguyen | TrustRadius Reviewer
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
Thales
No answers on this topic
jKool
No answers on this topic
ScreenShots