IBM StreamSetsIBM
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Related Products
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About
Capture all your unstructured data for all your LLM needs. Datavolo replaces single-use, point-to-point code with fast, flexible, reusable pipelines, freeing you to focus on what matters most, doing incredible work. Datavolo is the dataflow infrastructure that gives you a competitive edge. Get fast, unencumbered access to all of your data, including the unstructured files that LLMs rely on, and power up your generative AI. Get pipelines that grow with you, in minutes, not days, without custom coding. Instantly configure from any source to any destination at any time. Trust your data because lineage is built into every
pipeline. Make single-use pipelines and expensive configurations a thing of the past. Harness your unstructured data and unleash AI innovation with Datavolo, powered by Apache NiFi and built specifically for unstructured data. Our founders have spent a lifetime helping organizations make the most of their data.
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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 wanting a solution to manage and get access to their unstructured data
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Audience
DevOps teams
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Support
Phone Support
Supported
24/7 Live Support
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
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$36,000 per year
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
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationDatavolo
Founded: 2023
United States
datavolo.io
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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
Snowflake
Supported
Amazon Redshift
Not Supported
Amazon S3
Not Supported
Amazon Simple Queue Service (SQS)
Not Supported
Apache Cassandra
Not Supported
Azure Data Lake Storage
Not Supported
Azure Industrial IoT
Not Supported
Couchbase
Not Supported
CrateDB
Not Supported
Databricks
Supported
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Integrations
Snowflake
Supported
Amazon Redshift
Supported
Amazon S3
Supported
Amazon Simple Queue Service (SQS)
Supported
Apache Cassandra
Supported
Azure Data Lake Storage
Supported
Azure Industrial IoT
Supported
Couchbase
Supported
CrateDB
Supported
Databricks
Not Supported
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