Increase the productivity of data engineers, developers and scientists.
WhereOS is a cloud based operating system for distributed, data driven applications, that’s built on top of Apache Spark. WhereOS makes it easier to build, host, distribute and share applications built using (big) data.
Integrate any data source, in any format through any protocol in a few minutes; streaming, push and pull integrations are supported.
Create, deploy and orchestrate AI, ML or other data related functions as microservices based on docker containers.
Read, process and join different data sources. Apply different functions from microservices to your data.
Develop and deploy web applications using your favourite tools and host them on top of your data. Create native
Turn your data and pipelines into REST APIs to allow others to develop applications using your data.
You can host your APIs and applications through https://xyz.whereos.com or your own domain e.g. https://www.myexample.com
No local data center installations are required – with WhereOS you just focus on working with your data and delivering insightful applications on top of it.
We accelerate integration of data: different underlying data systems and architectures, whether they are data lakes, IoT systems, raw data files or other sources of data.
We make it easy to combine and fuse different types of data together, to create valuable data products out of raw data.
"We have all this data, that's great, but could you help us get real business value out of it?" - We help our customers to create business benefits from data through experimentation and rapid innovation.
WhereOS provides all the required tools to create analytics apps out-of-the-box: ingesting data, cleaning & transforming the data, creating models out of the data, exposing the data and models through APIs, and developing visualizations and apps on top of the APIs.
WhereOS is a data innovation platform and service.
For teams and businesses who want to get more value out of data – WhereOS minimizes your effort and maximizes your results.
If you wish discuss with us, please contact us through email@example.com or call us +358 50 486 9257.
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