Transform Hub, welcome to the Scramjet Family!

Scramjet Transform Hub (STH) is designed to drastically improve and simplify what has been possible with the Scramjet Framework, giving developers even more tools and freedom in the Cloud. Unlike the current Serverless systems, Scramjet Transform Hub gives you an opportunity to process data from different sources and in multiple scenarios. You can not only separately process small events, but also lists of local files, large files, pull streams from streaming APIs and so on. The choice is yours and STH adapts to your use case natively.

We looked at the competition and compared their solutions to our newly launched STH. This is a lot to process, but most importantly STH offers best-in-class performance metrics at an unrivalled cost while being simple to deploy, in just 4 steps! If Scramjet Transform Hub sounds interesting to you, go and check it out – we believe you’ll be able to unlock great new use cases with STH.

See how to get started on the Scramjet GitHub Repository.

Feature comparison across major STH competitors

Examples	Short explanation	Competition product and its type			Scramjet
Type	-	FaaS	Open-source FaaS	Serverless Streams	Transform as a Service
Product	-	Lambda, Azure Fn, GCF	OpenFaaS, Nuclio	Kafka, Kinesis, Azure EH	Transform Hub
Unlimited data size	Can process data in chunks, so there’s no data size limit at all. Data is simply processed while it’s being uploaded to the platform.
Sequential processing	Allows you to set up sequences of consecutive functions and reuse processing plugins/modules when you perform repetitive computations or accessing similar data sources.
Concurrent processing	Doesn’t force you to run a separate process for every single data point. You can process multiple items simultaneously and use backpressure to control the concurrency level.
Built-in backpressure	Automatically pauses and resumes data sources and uploads to match the processing time. If you’re bottlenecked by an API limit or a slow database, the process will halt previous operations and uploads until the load goes back to normal.
Long running processes/ Statefull operation	Thanks to the fact that processes are not limited to a single data point and can run for long time (days or even weeks), you make use of stateful processing without having to rely on external systems introducing massive latencies and complexity.
Direct public IP operation	Allows you to expose IP ports on external IPs. You can therefore mimic any existing protocol, even if it’s UDP based.
Programmable data acquisition	Doesn’t rely on external data integration. The data acquisition is fully integrated with the platform which means you can develop your own data integrations, either by polling a database or reading external URLs or any other source you can reach in a programmatic way.
Bring your own machine	Is available as installable software that can run on any machine you provide, but also, through adapters, you can use it to deploy programs on a swarm of devices of your choice. Thanks to the open-source nature of STH the applications are endless.

Performance metrics comparison across major STH competitors

Pricing model comparison across major STH competitors