Amazon Kinesis vs. Spotfire Streaming

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Kinesis
Score 8.0 out of 10
N/A
Amazon Kinesis is a streaming analytics suite for data intake from video or other disparate sources and applying analytics for machine learning (ML) and business intelligence.
$0.01
per GB data ingested / consumed
Spotfire Streaming
Score 7.9 out of 10
N/A
The Spotfire Streaming (formerly TIBCO Streaming or StreamBase) platform is a high-performance system for rapidly building applications that analyze and act on real-time streaming data. Using Spotfire Streaming, users can rapidly build real-time systems and deploy them at a fraction of the cost and risk of other alternatives.N/A
Pricing
Amazon KinesisSpotfire Streaming
Editions & Modules
Amazon Kinesis Video Streams
$0.00850
per GB data ingested / consumed
Amazon Kinesis Data Streams
$0.04
per hour per stream
Amazon Kinesis Data Analytics
$0.11
per hour
Amazon Kinesis Data Firehose
tiered pricing starting at $0.029
per month first 500 TB ingested
No answers on this topic
Offerings
Pricing Offerings
Amazon KinesisSpotfire Streaming
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Amazon KinesisSpotfire Streaming
Top Pros
Top Cons
Features
Amazon KinesisSpotfire Streaming
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Amazon Kinesis
8.3
2 Ratings
3% above category average
Spotfire Streaming
8.6
1 Ratings
6% above category average
Real-Time Data Analysis10.01 Ratings00 Ratings
Data Ingestion from Multiple Data Sources9.02 Ratings9.11 Ratings
Low Latency9.02 Ratings9.11 Ratings
Integrated Development Tools9.02 Ratings7.31 Ratings
Data wrangling and preparation10.01 Ratings9.11 Ratings
Linear Scale-Out6.12 Ratings00 Ratings
Data Enrichment5.01 Ratings00 Ratings
Best Alternatives
Amazon KinesisSpotfire Streaming
Small Businesses
IBM Streams
IBM Streams
Score 9.0 out of 10
IBM Streams
IBM Streams
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 7.4 out of 10
Confluent
Confluent
Score 7.4 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 7.9 out of 10
IBM Streams
IBM Streams
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon KinesisSpotfire Streaming
Likelihood to Recommend
9.0
(3 ratings)
7.6
(14 ratings)
Support Rating
7.1
(2 ratings)
10.0
(1 ratings)
User Testimonials
Amazon KinesisSpotfire Streaming
Likelihood to Recommend
Amazon AWS
Amazon Kinesis is a great replacement for Kafka and it works better whenever the components of the solution are AWS based. Best if extended fan-out is not required, but still price-performance ratio is very good for simplifying maintenance.
I would go with a different option if the systems to be connected are legacy, for instance in the case of traditional messaging clients.
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Spotfire
Taking data from various sources including files, databases, web services, applying some complex rules, transforming, aggregating and producing a result. This is what Spotfire Streaming 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.
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Pros
Amazon AWS
  • Processing huge loads of data
  • Integrating well with IoT Platform on Amazon
  • Integration with overall AWS Ecosystem
  • Scalability
Read full review
Spotfire
  • 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.
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Cons
Amazon AWS
  • 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
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Spotfire
  • 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 Spotfire Streaming development environment is built in Eclipse, which is not everyone's cup of tea.
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Support Rating
Amazon AWS
The documentation was confusing and lacked examples. The streams suddenly stopped working with no explanation and there was no information in the logs. All these were more difficult when dealing with enhanced fan-out. In fact, we were about to abort the usage of Kinesis due to a misunderstanding with enhanced fan-out.
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Spotfire
Spotfire Streaming support is prompt and to the point. They help with best practices and learning from existing projects.
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Alternatives Considered
Amazon AWS
The main benefit was around set up - incredibly easy to just start using Kinesis. Kinesis is a real-time data processing platform, while Kafka is more of a message queue system. If you only need a message queue from a limited source, Kafka may do the job. More complex use cases, with low latency, higher volume of data, real time decisions and integration with multiple sources and destination at a decent price, Kinesis is better.
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Spotfire
We are using Dataflow (by Google).The development time in Spotfire Streaming is definitely shorter because its GUI based. Dataflow handles late arrivals after the window closes, not sure Spotfire Streaming 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 AWS
  • Caused us to need to re-engineer some basic re-try logic
  • Caused us to drop some content without knowing it
  • Made monitoring much more difficult
  • We eventually switched back to SQS because Kinesis is not the same as a Queue system
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Spotfire
  • While we haven't specifically integrated Spotfire Streaming 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.
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ScreenShots

Spotfire Streaming Screenshots

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