IBM StreamSetsIBM
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Related Products
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About
Integrate AI-powered data mapping into your systems. Never spend time wrangling data again. Lume platform gives you visibility and management over all of your data pipelines and mappings. Review, edit, and deploy data mappers in seconds, and use them indefinitely. Onboard more customers and partners faster by ingesting their unique data in seconds. Normalize messy data that is different between all the legacy data systems you are ingesting. Build hundreds of data pipelines immediately, reading from and writing to any source and any destination models. Detect changes to your source data or target models, and automatically re-transform the data to adapt to the new models. Handle complex data mappings with ease by enabling your teams to transform data leveraging AI.
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About
IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration.
Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds.
Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift.
Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies searching for a solution to create their data pipelines
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Audience
DevOps teams
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$1000 per month
5 active jobs
5 users 50 published pipelines 99.9% uptime Email Support (Business hours M-F)
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationLume
www.lume.ai/
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/products/streamsets
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Categories |
Categories |
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DevOps Features
Approval Workflow
Supported
Dashboard
Supported
KPIs
Supported
Policy Management
Supported
Portfolio Management
Supported
Prioritization
Supported
Release Management
Supported
Timeline Management
Supported
Troubleshooting Reports
Supported
Streaming Analytics Features
Data Enrichment
Supported
Data Wrangling / Data Prep
Supported
Multiple Data Source Support
Supported
Process Automation
Supported
Real-time Analysis / Reporting
Supported
Visualization Dashboards
Supported
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Integrations
Amazon Redshift
Not Supported
Amazon S3
Not Supported
Amazon Simple Queue Service (SQS)
Not Supported
Apache Cassandra
Not Supported
Azure Industrial IoT
Not Supported
Couchbase
Not Supported
CrateDB
Not Supported
Cua
Supported
Elasticsearch
Not Supported
FileTrail Records Management
Not Supported
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Integrations
Amazon Redshift
Supported
Amazon S3
Supported
Amazon Simple Queue Service (SQS)
Supported
Apache Cassandra
Supported
Azure Industrial IoT
Supported
Couchbase
Supported
CrateDB
Supported
Cua
Not Supported
Elasticsearch
Supported
FileTrail Records Management
Supported
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