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About

Easily collect, process, and analyze video and data streams in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin. Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days.

About

Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features. Integrate seamlessly with other Azure services to unlock valuable insights. Allow existing Apache Kafka clients and applications to talk to Event Hubs without any code changes—you get a managed Kafka experience without having to manage your own clusters. Experience real-time data ingestion and microbatching on the same stream. Focus on drawing insights from your data instead of managing infrastructure. Build real-time big data pipelines and respond to business challenges right away.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

IT teams that want to collect, process, and analyze video and data streams in real time

Audience

Organizations searching for a real-time data ingestion

Audience

Organizations in need of an advanced Event Stream Processing solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.03 per hour
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

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

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

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/kinesis/

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/event-hubs/

Company Information

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

Alternatives

Alternatives

Alternatives

AWS IoT

AWS IoT

Amazon
Amazon MSK

Amazon MSK

Amazon
Amazon EMR

Amazon EMR

Amazon
Apache Kafka

Apache Kafka

The Apache Software Foundation

Categories

Categories

Categories

Streaming Analytics Features

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

Streaming Analytics Features

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

Integrations

Amazon Data Firehose
Amazon Web Services (AWS)
Apache Storm
BigID
Causal
Edge Delta
Fleet
GlassFlow
HiveMQ
LOGIQ
Lumigo
Martini
Materialize
Observe
OpenMetadata
Privacera
Samza
Shaped
StreamFlux
Vendia

Integrations

Amazon Data Firehose
Amazon Web Services (AWS)
Apache Storm
BigID
Causal
Edge Delta
Fleet
GlassFlow
HiveMQ
LOGIQ
Lumigo
Martini
Materialize
Observe
OpenMetadata
Privacera
Samza
Shaped
StreamFlux
Vendia

Integrations

Amazon Data Firehose
Amazon Web Services (AWS)
Apache Storm
BigID
Causal
Edge Delta
Fleet
GlassFlow
HiveMQ
LOGIQ
Lumigo
Martini
Materialize
Observe
OpenMetadata
Privacera
Samza
Shaped
StreamFlux
Vendia
Claim Amazon Kinesis and update features and information
Claim Amazon Kinesis and update features and information
Claim Azure Event Hubs and update features and information
Claim Azure Event Hubs and update features and information
Claim Informatica Data Engineering Streaming and update features and information
Claim Informatica Data Engineering Streaming and update features and information