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support 0 out of 5 stars

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Description

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Snowflake Yes 
Amazon Simple Queue Service (SQS) No 
Apache Cassandra No 
Azure Industrial IoT No 
Collibra Yes 
Couchbase No 
DataRobot Yes 
Delta Lake No 
Docker Yes 
Elasticsearch No 
Hadoop No 
Hunters Yes 
Informatica Cloud Data Integration Yes 
Microsoft Azure Yes 
MongoDB No 
Monte Carlo Yes 
MySQL No 
Redis No 
SAP HANA No 
Soda Yes 

Integrations

Snowflake Yes 
Amazon Simple Queue Service (SQS) Yes 
Apache Cassandra Yes 
Azure Industrial IoT Yes 
Collibra No 
Couchbase Yes 
DataRobot No 
Delta Lake Yes 
Docker No 
Elasticsearch Yes 
Hadoop Yes 
Hunters No 
Informatica Cloud Data Integration No 
Microsoft Azure No 
MongoDB Yes 
Monte Carlo No 
MySQL Yes 
Redis Yes 
SAP HANA Yes 
Soda No 

Pricing Details

No price information available.
Free Trial Yes 
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 Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

DataOps.live

Founded

2020

Country

London, UK

Website

www.dataops.live/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/streamsets

Product Features

Data Governance

Access Control No 
Data Discovery No 
Data Mapping No 
Data Profiling No 
Deletion Management No 
Email Management No 
Policy Management No 
Process Management No 
Roles Management No 
Storage Management No 

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Master Data Management

Data Governance No 
Data Masking No 
Data Source Integrations No 
Hierarchy Management No 
Match & Merge No 
Metadata Management No 
Multi-Domain No 
Process Management No 
Relationship Mapping No 
Visualization 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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