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.
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Komprise
Score10 out of 10
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Komprise is the database development and management solution from the company of the same name in Campbell, California.
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Pricing
IBM Streams (discontinued)
Komprise
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Streams (discontinued)
Komprise
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Features
IBM Streams (discontinued)
Komprise
Streaming Analytics
Comparison of Streaming Analytics features of IBM Streams (discontinued) and Komprise
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
As any other archiving solution, it is very well suited for environments with a large footprint of unstructured data (CIFS / NFS shares for user data) with a large amount of unused/old files and a need to keep those unused files for long term. In our scenario, due to some legal and contractual constraints we need to keep these files for 15 years. Archiving is a good choice to move the unused files to a cheaper storage tier, both on-prem or cloud.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have used Veritas Enterprise Vault in the past, and besides its being a well-known player on the data archiving market, their tool is far more complex to implement, to manage and to keep working. Komprise is very robust and also very easy to implement, as most part of the job is done on Komprise side. The management console is delivered through a public URL as a SaaS platform. You only need to deploy a few VMs for scan/archiving/user access, which they call "Observer VMs." Komprise also doesn't uses Stub files, which is a poor implementation adopted by the competitor for file access. We had a lot of issues in the past with stub files. Komprise has implemented 'bread crumbs', which are CIFS symlinks to the files on the Observer. It is a very good implementation and it works really well.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
