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About

Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.

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.

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

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

Audience

Companies and professionals seeking a solution to manage their streaming and batch data processing operations

Audience

DevOps teams

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Spring
spring.io/projects/spring-cloud-dataflow

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/streamsets

Alternatives

Alternatives

Spring Boot

Spring Boot

VMware Tanzu
Apache Airflow

Apache Airflow

The Apache Software Foundation
Lenses

Lenses

Lenses.io

Categories

Data Pipeline Supported
Microservices Supported

Categories

Data Integration Supported
Data Pipeline Supported
DataOps Supported
DevOps Supported

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

Integrations

Amazon Redshift Not Supported
Amazon Simple Queue Service (SQS) Not Supported
Apache Cassandra Not Supported
Apache Tomcat Supported
Azure Data Lake Storage Not Supported
Azure Industrial IoT Not Supported
Delta Lake Not Supported
FileTrail Records Management Not Supported
Hadoop Not Supported
Kubernetes Supported
Mariner Financial Wellness Supported
MongoDB Not Supported
MySQL Not Supported
PostgreSQL Not Supported
SAP HANA Not Supported
Salesforce Not Supported
Snowflake Not Supported
Splunk Cloud Platform Not Supported
Spring Framework Supported
VMware Cloud Supported

Integrations

Amazon Redshift Supported
Amazon Simple Queue Service (SQS) Supported
Apache Cassandra Supported
Apache Tomcat Not Supported
Azure Data Lake Storage Supported
Azure Industrial IoT Supported
Delta Lake Supported
FileTrail Records Management Supported
Hadoop Supported
Kubernetes Not Supported
Mariner Financial Wellness Not Supported
MongoDB Supported
MySQL Supported
PostgreSQL Supported
SAP HANA Supported
Salesforce Supported
Snowflake Supported
Splunk Cloud Platform Supported
Spring Framework Not Supported
VMware Cloud Not Supported
Claim Spring Cloud Data Flow and update features and information
Claim Spring Cloud Data Flow and update features and information
Claim IBM StreamSets and update features and information
Claim IBM StreamSets and update features and information