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What is Informatica Data Engineering Streaming?

Informatica's AI-enhanced Data Engineering Streaming revolutionizes the way data engineers can ingest, process, and analyze real-time streaming data, providing critical insights. The platform's sophisticated serverless deployment feature and built-in metering dashboard considerably alleviate the administrative workload. With the automation capabilities powered by CLAIRE®, users are able to quickly create intelligent data pipelines that incorporate functionalities such as automatic change data capture (CDC). This innovative solution supports the ingestion of a vast array of databases, millions of files, and countless streaming events. It proficiently manages these resources for both real-time data replication and streaming analytics, guaranteeing a continuous flow of information. Furthermore, it assists in discovering and cataloging all data assets across an organization, allowing users to intelligently prepare trustworthy data for advanced analytics and AI/ML projects. By optimizing these operations, organizations can tap into the full value of their data assets more efficiently than ever before, leading to enhanced decision-making capabilities and competitive advantages. This comprehensive approach to data management is transforming the landscape of data engineering and analytics.

What is Amazon Data Firehose?

Easily capture, transform, and load live streaming data with minimal effort through straightforward steps. Begin by setting up a delivery stream, choosing your preferred destination, and you’ll be ready to stream data in real-time almost instantly. The system intelligently provisions and modifies compute, memory, and network resources without requiring constant oversight. You can convert raw streaming data into various formats like Apache Parquet while seamlessly partitioning the data in real-time, all without the need to develop your own processing frameworks. Amazon Data Firehose is recognized as the easiest option for quickly acquiring, transforming, and delivering data streams to data lakes, warehouses, and analytical platforms. To start using Amazon Data Firehose, you must create a stream that comprises a source, destination, and any required transformations. The service continuously oversees the data stream, automatically adjusting to fluctuations in data volume and ensuring almost instantaneous delivery. You have the flexibility to select a source for your data stream or take advantage of the Firehose Direct PUT API for direct data input. This efficient approach not only simplifies the process but also enhances performance when managing large data volumes, making it an invaluable tool for any data-driven operation. Furthermore, its ability to handle various data types ensures that users can adapt to diverse analytics needs.

Media

Media

Integrations Supported

Integrations Supported

AWS IoT
AWS Network Firewall
AWS WAF
Amazon CloudWatch
Amazon Kinesis
Amazon MSK
Amazon OpenSearch Service
Amazon Redshift
Amazon Simple Notification Service (SNS)
Amazon Web Services (AWS)
Apache Iceberg
Apache Parquet
Doctor Droid
Orchestra
Snowflake
Splunk Cloud Platform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$0.075 per month
Free Trial Offered?

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Informatica

Company Location

United States

Company Website

www.informatica.com/products/big-data/big-data-streaming.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/firehose/

Categories and Features

Data Engineering

Not specified

Streaming Analytics

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

Categories and Features

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