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features
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support

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Write a Review

Description

You can regain control over your data pipelines and instantly deliver value without any errors. DataKitchen™, DataOps platforms automate and coordinate all people, tools and environments within your entire data analytics organization. This includes everything from orchestration, testing and monitoring, development, and deployment. You already have the tools you need. Our platform automates your multi-tool, multienvironment pipelines from data access to value delivery. Add automated tests to every node of your production and development pipelines to catch costly and embarrassing errors before they reach the end user. In minutes, you can create repeatable work environments that allow teams to make changes or experiment without interrupting production. With a click, you can instantly deploy new features to production. Your teams can be freed from the tedious, manual work that hinders innovation.

Description

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

PostgreSQL Yes 
Amazon S3 No 
Apache Cassandra No 
Azure Data Lake Storage No 
Azure Industrial IoT No 
CrateDB No 
Delta Lake No 
Elasticsearch No 
Git Yes 
GitHub Yes 
Google Cloud BigQuery Yes 
HPE Ezmeral Data Fabric No 
Hadoop No 
Jira Yes 
Kubernetes Yes 
MongoDB No 
SAP HANA No 
SQL Server Yes 
Slack Yes 
Splunk Cloud Platform No 

Integrations

PostgreSQL Yes 
Amazon S3 Yes 
Apache Cassandra Yes 
Azure Data Lake Storage Yes 
Azure Industrial IoT Yes 
CrateDB Yes 
Delta Lake Yes 
Elasticsearch Yes 
Git No 
GitHub No 
Google Cloud BigQuery No 
HPE Ezmeral Data Fabric Yes 
Hadoop Yes 
Jira No 
Kubernetes No 
MongoDB Yes 
SAP HANA Yes 
SQL Server No 
Slack No 
Splunk Cloud Platform Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1000 per month
5 active jobs
5 users
50 published pipelines
99.9% uptime
Email Support (Business hours M-F)
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

DataKitchen

Founded

2013

Country

United States

Website

datakitchen.io

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/streamsets

Product Features

Automated Testing

Hierarchical View No 
Move & Copy No 
Parameterized Testing No 
Requirements-Based Testing No 
Security Testing No 
Supports Parallel Execution No 
Test Script Reviews No 
Unicode Compliance No 

Continuous Delivery

Application Lifecycle Management No 
Application Release Automation No 
Build Automation No 
Build Log No 
Change Management No 
Configuration Management No 
Continuous Deployment No 
Continuous Integration No 
Feature Toggles / Feature Flags No 
Quality Management No 
Testing Management No 

Continuous Integration

Build Log No 
Change Management No 
Configuration Management No 
Continuous Delivery No 
Continuous Deployment No 
Debugging No 
Permission Management No 
Quality Assurance Management No 
Testing Management No 

Data Fabric

Data Access Management No 
Data Analytics No 
Data Collaboration No 
Data Lineage Tools No 
Data Networking / Connecting No 
Metadata Functionality No 
No Data Redundancy No 
Persistent Data Management No 

DevOps

Approval Workflow No 
Dashboard No 
KPIs No 
Policy Management No 
Portfolio Management No 
Prioritization No 
Release Management No 
Timeline Management No 
Troubleshooting Reports No 

Product Features

DevOps

Approval Workflow Yes 
Dashboard Yes 
KPIs Yes 
Policy Management Yes 
Portfolio Management Yes 
Prioritization Yes 
Release Management Yes 
Timeline Management Yes 
Troubleshooting Reports Yes 

Streaming Analytics

Data Enrichment Yes 
Data Wrangling / Data Prep Yes 
Multiple Data Source Support Yes 
Process Automation Yes 
Real-time Analysis / Reporting Yes 
Visualization Dashboards Yes 

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