Guavus SQLstream vs. IBM Streams (discontinued) vs. SAS Event Stream Processing

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
IBM Streams (discontinued)
Score 9.0 out of 10
N/A
A real-time analytics solution that turns fast-moving volumes and varieties into insights. Streams evaluates a broad range of streaming data — unstructured text, video, audio, geospatial and sensor. The product was sunsetted in 2024.N/A
SAS Event Stream Processing
Score 10.0 out of 10
N/A
SAS Event Stream Processing is a real-time streaming data analytics platform supporting high throughput workflows and processes such as IoT, sensors, and other transactions.N/A
Pricing
Guavus SQLstreamIBM Streams (discontinued)SAS Event Stream Processing
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Guavus SQLstreamIBM Streams (discontinued)SAS Event Stream Processing
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
Guavus SQLstreamIBM Streams (discontinued)SAS Event Stream Processing
Features
Guavus SQLstreamIBM Streams (discontinued)SAS Event Stream Processing
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Guavus SQLstream
-
Ratings
IBM Streams (discontinued)
8.3
5 Ratings
4% above category average
SAS Event Stream Processing
-
Ratings
Real-Time Data Analysis00 Ratings8.05 Ratings00 Ratings
Visualization Dashboards00 Ratings10.05 Ratings00 Ratings
Data Ingestion from Multiple Data Sources00 Ratings9.05 Ratings00 Ratings
Low Latency00 Ratings7.93 Ratings00 Ratings
Integrated Development Tools00 Ratings8.04 Ratings00 Ratings
Data wrangling and preparation00 Ratings8.04 Ratings00 Ratings
Linear Scale-Out00 Ratings7.72 Ratings00 Ratings
Machine Learning Automation00 Ratings9.05 Ratings00 Ratings
Data Enrichment00 Ratings7.04 Ratings00 Ratings
Best Alternatives
Guavus SQLstreamIBM Streams (discontinued)SAS Event Stream Processing
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Amazon Kinesis
Amazon Kinesis
Score 9.9 out of 10
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 9.2 out of 10
Confluent
Confluent
Score 9.2 out of 10
Confluent
Confluent
Score 9.2 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.1 out of 10
Spotfire Streaming
Spotfire Streaming
Score 5.1 out of 10
Spotfire Streaming
Spotfire Streaming
Score 5.1 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
Guavus SQLstreamIBM Streams (discontinued)SAS Event Stream Processing
Likelihood to Recommend
-
(0 ratings)
9.0
(9 ratings)
-
(0 ratings)
User Testimonials
Guavus SQLstreamIBM Streams (discontinued)SAS Event Stream Processing
Likelihood to Recommend
Thales
No answers on this topic
Discontinued Products
Like the name says, it is good for streaming data and analyzing. It is great to look at tuples at a fast rate, filtering, calling other sources to enrich data, can call APIs, etc. Could do better for ingest use cases, can do better with guaranteed delivery, etc.
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SAS
No answers on this topic
Pros
Thales
No answers on this topic
Discontinued Products
  • IBM Streams is well suited for providing wire-speed real-time end-to-end processing with sub-millisecond latency.
  • Streams is amazingly computationally efficient. In other words, you can typically do much more processing with a given amount of hardware than other technologies. In a recent linear-road benchmark Streams based application was able to provide greater capability than the Hadoop-based implementation using 10x less hardware. So even when latency isn't critical, using Streams might still make sense for reducing operational cost.
  • Streams comes out of the box with a large and comprehensive set of tested and optimized toolkits. Leveraging these toolkits not only reduces the development time and cost but also helps reduce project risk by eliminating the need for custom code which likely has not seen as much time in test or production.
  • In addition to the out of the box toolkits, there is an active developer community contributing additional specialized packages.
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SAS
No answers on this topic
Cons
Thales
No answers on this topic
Discontinued Products
  • Documentation could be more extensive, with more examples, although overall this is not too bad compared to some of the alternative solutions.
  • Seems expensive to use in production.
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SAS
No answers on this topic
Alternatives Considered
Thales
No answers on this topic
Discontinued Products
There are well explained tutorials to get the user started. If you are looking for business application ideas, the user community offers a diversity of applications. It is very easy to launch applications on the cloud and can integrate with other analytic tools available on Watson Studio. It takes away the burden of the technology so that users can focus on business innovations.
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SAS
No answers on this topic
Return on Investment
Thales
No answers on this topic
Discontinued Products
  • Ability to do more with less
  • Admins and data analyst can now focus on more thinking tasks
  • No negative impacts yet
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SAS
No answers on this topic
ScreenShots