Fast Data at the Edge

Collect, process and replicate data from the edge to the datacenter

Rapidly increasing amounts of data, including IoT and device data, are generated outside of datacenters and cloud environments. Simply relaying raw event data from distributed sources to a centralized cloud or datacenter environment is massively inefficient and expensive, particularly over bandwidth-constrained connections. At the same time, the compute resources available at the edge continue to increase rapidly.

Modern technology than can connect, process and storage data across edge, cloud and datacenter environments to intelligently interpret and respond to data has become essential to putting that data to use. The Streamlio platform leverages the capabilities of Apache Pulsar to provide a solution that can be deployed wherever you need to process your data.

Fast Data Fabric

The Streamlio platform, powered by the proven Apache Pulsar technology, can be deployed from edge to cloud to datacenter, creating a data fabric that can connect, move and process fast data.

Integrate Edge, Cloud and Datacenter

The Streamlio solution, powered by Apache Pulsar, can be deployed not only in datacenters and cloud environments, but also in resource-limited environments such as points of presence, aggregators, and control systems. That allows you to deploy a consistent infrastructure for your data across all your environments.

Move and Connect Data

Leveraging Apache Pulsar’s built-in replication and stream-native processing, you can easily filter, aggregate and cleanse fast-moving data at the edge and then efficiently and reliably transmit it to cloud or datacenter systems for further processing and use.

Deliver Intelligence at the Edge

The stream-native processing framework in Apache Pulsar makes it possible to filter, aggregate, cleanse and analyze data at the edge, allowing you to act on data immediately as well as intelligently route and forward data to cloud and datacenter environments for historical analytics across combined data streams.

Image illustrating event-driven architecture

Blog: Event-Driven Architecture Using Streamlio

Event-driven architecture is a valuable framework for many types of event processing solutions. This blog series explains how Streamlio technology can help.

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Image illustrating connected web of devices

Blog: Solving the Challenges of IoT Analytics

Success with IoT analytics projects can be elusive without the right technology solution for IoT data pipeline and processing. This blog looks at how better technology can help.

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Apache, Apache BookKeeper, Apache Heron, Apache Pulsar and associated open source project names are trademarks of the Apache Software Foundation.

*Apache Heron is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by Apache Incubator PMC. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.