Apache Flink

Apache Flink

Apache Software Foundation
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About

AI-powered Informatica Data Engineering Streaming enables data engineers to ingest, process, and analyze real-time streaming data for actionable insights. Advanced serverless deployment option​ with integrated metering dashboard cuts admin overhead. Rapidly build intelligent data pipelines with CLAIRE®-powered automation, including automatic change data capture (CDC). Ingest thousands of databases and millions of files, and streaming events. Efficiently ingest databases, files, and streaming data for real-time data replication and streaming analytics. Find and inventory all data assets throughout your organization. Intelligently discover and prepare trusted data for advanced analytics and AI/ML projects.

About

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Any kind of data is produced as a stream of events. Credit card transactions, sensor measurements, machine logs, or user interactions on a website or mobile application, all of these data are generated as a stream. Apache Flink excels at processing unbounded and bounded data sets. Precise control of time and state enable Flink’s runtime to run any kind of application on unbounded streams. Bounded streams are internally processed by algorithms and data structures that are specifically designed for fixed sized data sets, yielding excellent performance. Flink is designed to work well each of the previously listed resource managers.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations in need of an advanced Event Stream Processing solution

Audience

Streaming analytics framework for anyone

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Informatica
United States
www.informatica.com/products/big-data/big-data-streaming.html

Company Information

Apache Software Foundation
Founded: 1999
United States
flink.apache.org

Alternatives

Alternatives

Apache Beam

Apache Beam

Apache Software Foundation
Apache Gobblin

Apache Gobblin

Apache Software Foundation
Apache Heron

Apache Heron

Apache Software Foundation
SQLstream

SQLstream

Guavus, a Thales company

Categories

Categories

Streaming Analytics Features

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

Integrations

Amazon Managed Service for Apache Flink
Apache Doris
Apache Hudi
Apache Kudu
Apache Mesos
DeltaStream
Gable
GlassFlow
Hadoop
Hue
IBM Event Automation
Kubernetes
Netdata
ScaleOps
Scalytics Connect
StarTree
Streamkap
Ververica
Warp 10
lakeFS

Integrations

Amazon Managed Service for Apache Flink
Apache Doris
Apache Hudi
Apache Kudu
Apache Mesos
DeltaStream
Gable
GlassFlow
Hadoop
Hue
IBM Event Automation
Kubernetes
Netdata
ScaleOps
Scalytics Connect
StarTree
Streamkap
Ververica
Warp 10
lakeFS
Claim Informatica Data Engineering Streaming and update features and information
Claim Informatica Data Engineering Streaming and update features and information
Claim Apache Flink and update features and information
Claim Apache Flink and update features and information