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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

Discover Azure Stream Analytics, the easy-to-use, real-time analytics service that is designed for mission-critical workloads. Build an end-to-end serverless streaming pipeline with just a few clicks. Go from zero to production in minutes using SQL—easily extensible with custom code and built-in machine learning capabilities for more advanced scenarios. Run your most demanding workloads with the confidence of a financially backed SLA.

About

Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization.

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

SMBs and enterprises searching for a serverless real-time analytics platform

Audience

Teams that want unified stream and batch data processing that's serverless, fast, and cost-effective

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

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

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/stream-analytics/

Company Information

Google
Founded: 1998
United States
cloud.google.com/dataflow

Alternatives

Alternatives

Alternatives

Apache Beam

Apache Beam

Apache Software Foundation
AWS IoT

AWS IoT

Amazon
Amazon EMR

Amazon EMR

Amazon
SQLstream

SQLstream

Guavus, a Thales company

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

Streaming Analytics Features

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

Integrations

AWS Network Firewall
BigBI
Edge Delta
Hydrolix
Ikigai
Kapacitor
Logstash
Lumigo
Meltano
MetaRouter
MongoDB Atlas
Privacera
Procyon
Protegrity
Shaped
SolarWinds AppOptics
StarTree
Syncari
Telmai
Yandex Data Streams

Integrations

AWS Network Firewall
BigBI
Edge Delta
Hydrolix
Ikigai
Kapacitor
Logstash
Lumigo
Meltano
MetaRouter
MongoDB Atlas
Privacera
Procyon
Protegrity
Shaped
SolarWinds AppOptics
StarTree
Syncari
Telmai
Yandex Data Streams

Integrations

AWS Network Firewall
BigBI
Edge Delta
Hydrolix
Ikigai
Kapacitor
Logstash
Lumigo
Meltano
MetaRouter
MongoDB Atlas
Privacera
Procyon
Protegrity
Shaped
SolarWinds AppOptics
StarTree
Syncari
Telmai
Yandex Data Streams
Claim Amazon Kinesis and update features and information
Claim Amazon Kinesis and update features and information
Claim Azure Stream Analytics and update features and information
Claim Azure Stream Analytics and update features and information
Claim Google Cloud Dataflow and update features and information
Claim Google Cloud Dataflow and update features and information