What users are saying about
8 Ratings
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Score 7.5 out of 101
29 Ratings
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Score 9 out of 101

Likelihood to Recommend

Amazon Kinesis

Perfect for real-time data processing and streaming. Also, there's no need for any specific setup - you just start using it immediately and it easily integrates with the rest of AWS capabilities (like Redshift), although integration with Lambda could be better. You can make your overall analytics landscape way simpler with Kineses even if you have non-Amazon solutions like Tableau. It all integrates really well!
No photo available

TIBCO StreamBase

Taking data from various sources including files, databases, web services, applying some complex rules, transforming, aggregating and producing a result. This is what SB does best.
- If one needs connectivity to special services as secured databases or web services, building interactive web apps, those are probably tasks that shall be addressed with different tools.
Lyubomir Simeonov profile photo

Feature Rating Comparison

Streaming Analytics

Amazon Kinesis
9.7
TIBCO StreamBase
Real-Time Data Analysis
Amazon Kinesis
10.0
TIBCO StreamBase
Visualization Dashboards
Amazon Kinesis
9.0
TIBCO StreamBase
Data Ingestion from Multiple Data Sources
Amazon Kinesis
10.0
TIBCO StreamBase
Low Latency
Amazon Kinesis
10.0
TIBCO StreamBase
Integrated Development Tools
Amazon Kinesis
10.0
TIBCO StreamBase
Data wrangling and preparation
Amazon Kinesis
10.0
TIBCO StreamBase
Linear Scale-Out
Amazon Kinesis
9.5
TIBCO StreamBase
Machine Learning Automation
Amazon Kinesis
9.0
TIBCO StreamBase
Data Enrichment
Amazon Kinesis
10.0
TIBCO StreamBase

Pros

Amazon Kinesis

  • Read and process data in real-time.
  • It allows you to analyze data collected in real-time, organize, analyze and return it to the user quickly.
  • Ideal for scalable projects - It provides high performance and potential for very large projects that need to process data in massive quantities.
  • A small learning curve, quite intuitive to use and easy to integrate with other tools.
Winston Mendes profile photo

TIBCO StreamBase

  • Processing events in real-time with real low latency and high throughput.
  • 100% visual program language, which can be extended by common languages like Java, Python and .NET.
  • Reduced time to prototype, create an application and deployment, which reduces the software lifecycle.
  • Real robust engine and server. Barely heard of customers having issues in production.
Hamilton Araujo profile photo

Cons

Amazon Kinesis

  • Not a queue system, so little visibility into "backlog" if there is any
  • Confusing terminology to make sure events aren't missed
  • Sometimes didn't seem to trigger Lambda functions, or dropped events when a lot came in
No photo available

TIBCO StreamBase

  • Not all problems are suited to the event driven paradigm.
  • As the complexity of an application grows, finding your way around code in the GUI takes some getting used to.
  • The StreamBase development environment is built in Eclipse, which is not everyone's cup of tea.
No photo available

Usability

Amazon Kinesis

Amazon Kinesis 9.0
Based on 1 answer
It is a very versatile tool and is easy to use. With the support of Amazon, it can be configured very quickly and integrated into any project that needs processing and the analysis of data, photos, and videos in real-time. It is very useful for security because when analyzing data in real-time it is easier to avoid fraud. I have not had any problems when implementing this tool, it is very intuitive and I can access the platform from any device that includes a web browser.
Winston Mendes profile photo

TIBCO StreamBase

No score
No answers yet
No answers on this topic

Support

Amazon Kinesis

Amazon Kinesis 10.0
Based on 2 answers
When needed, Amazon engineers are accessible and provide a fast response. Documentation is good and has been improving a lot over the past couple of years.
No photo available

TIBCO StreamBase

TIBCO StreamBase 10.0
Based on 1 answer
StreamBase support is prompt and to the point. They help with best practices and learning from existing projects.
Saurabh Gaba profile photo

Alternatives Considered

Amazon Kinesis

Actually we didn't select Kinesis, we were forced into using it because SQS wasn't yet supported by Lambda. Unlike Kinesis, SQS supports both FIFO and standard queues which let us control order of events processed, as well as handle retry logic, failover logic, and set up CloudWatch Alarms when we have too many events in our backlog. It also lets us know when something didn't process properly and we can alert DevOps to that issue and/or retry the processes automatically.With SQS, we have much more visibility then we ever did with Kinesis. This is very important to our use cases, as we aren't processing millions of events per second, but for us every event is very important.
No photo available

TIBCO StreamBase

We are using Dataflow (by Google).The development time in StreamBase is definitely shorter because its GUI based. Dataflow handles late arrivals after the window closes, not sure StreamBase can do that. Dataflow can run GCP as a managed service which is why we chose that tool for our new product.
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Return on Investment

Amazon Kinesis

  • Significantly reduced the cost of our IoT platform, compared to other Cloud providers.
  • Better user experience.
  • Enabled real "real-time analytics."
No photo available

TIBCO StreamBase

  • While we haven't specifically integrated StreamBase into our product development, it has allowed us to see the benefits of real-time streaming data.
  • We have much more visibility into how our longer term roadmap will look and what we should focus on.
No photo available

Screenshots

Amazon Kinesis

Pricing Details

Amazon Kinesis

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

TIBCO StreamBase

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional

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