Overview
WOVEN DATA StreamFlow is a real time data processing platform designed for organizations that need to ingest, process, and analyze high volume event streams with low latency. It provides a centralized foundation for streaming workloads, combining event ingestion, stream processing, and real time analytics in a deployable environment.
StreamFlow is built around Apache Kafka and Apache Flink, with custom high performance processing components designed for demanding data workloads. The platform can support continuous data pipelines where events must be processed as they arrive rather than accumulated for later batch processing. This makes it suitable for operational analytics, application telemetry, intelligent automation, IoT workloads, financial events, machine learning pipelines, and other data-intensive applications.
The platform is designed to help engineering teams establish repeatable streaming infrastructure without assembling and configuring every component independently. Its architecture provides a foundation for connecting data producers, processing streams, applying transformations, and delivering processed events to downstream applications and analytical systems.
WOVEN DATA StreamFlow can be deployed within an organizations cloud environment, allowing teams to maintain control over their streaming workloads and integrate the platform with existing applications, data stores, and analytics systems. It is particularly suited to environments where throughput, processing latency, and continuous data availability are important operational requirements.
Highlights
- High Throughput Event Processing Process continuous streams of operational and application data using Kafka- and Flink based streaming infrastructure designed for demanding workloads.
- Low Latency Stream Analytics Support real time analytics and event driven applications where data needs to be processed as it arrives.
- Production Ready Streaming Architecture Bring together event ingestion, stream processing, transformation, and downstream data delivery in a deployable environment.
Details
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Pricing
Dimension | Cost/hour |
|---|---|
t2.micro Recommended | $0.06 |
c3.large | $0.03 |
m1.medium | $0.05 |
Vendor refund policy
Refunds are currently not available. Requests will be reviewed on a case by case basis. Eligible refunds are processed in accordance with AWS policies.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
First release of WOVEN DATA StreamFlow | Real-Time Event Streaming & Analytics Platform
Additional details
Usage instructions
To begin using this image, connect via SSH. Until you connect SSH into the instance and validate your credentials, you will not be able to access the Software. To connect to the operating system, use SSH and the username buntu. For instructions on using SSH to connect to your instance, see the AWS EC2 documentation: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html2 Please note, this image may take upto 10 minutes to instantiate.
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For comprehensive assistance and guidance, our dedicated support team is available at https://wovendata.org/contact.html Our team is committed to providing responsive assistance to address technical queries, engagement planning, and ongoing project support.
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