We have built up ODF on a state-of-the-art tech stack that enables you to build an end-to-end streaming pipeline at scale. The architecture behind ODF consists of three modules, each of which is capable of handling hundreds of thousands of events per second.
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OKTAWAVE DATA FLOW
Turbocharge your business with our real-time data stream processing service for analytics, machine learning, IoT, and more.
- TECH STACK
- USE CASES
proven & trusted
data processing technologies
connect any data source
The collector module ingests and stores various inputs. Those can be sent from anything connected to the Internet: websites, apps, backend services, sensors, smart devices, etc. The collector exposes a powerful REST API interface.
analyze & transform in real-time
The processor module takes in the data passed by the collector and runs them through user-defined operations. It features a built-in autoscaler, which guarantees that your mission-critical workloads are processed with minimum latencies.
send or store
The emitter module is responsible for sending the processed data to a supported database (Redis or ElasticSearch). You can also store it securely in Oktawave Cloud Storage.
use case scenarios
build data-fuelled applications
Distributed IoT devices stream logs and the collector transfers them to the cloud computing environment for further analysis.
Air quality sensors stream the results of air quality measurement. The processor sanitizes the data and passes them down to the emitter.
Raw transaction data is streamed to the collector. The processor applies its calculations and the emitter outputs current stock quotes.
Mobile applications send GPS data to the collector. The output data are real-time reports on the current road conditions.
build your own
Ready to tap into the power of data streams? Contact us for a free consultation. Our experts can help you build a PoC or a production-ready application.