Evolution of Real Time Data Streaming for Data Driven Systems

Hidden Brains provides digital and streaming solutions that dominate several key industries.

Streaming has already grown to be the primary revenue driver for both music and video, making the effective analysis and utilization of data an essential component for success.

Our team understands the complexities involved in analyzing massive quantities of data handled by machines.

The intricate melding of first, second and third-party data allows industry players to get the best results out of an algorithm. We understand the fundamental shift in consumer behavior and technological advancement together driving the rapid growth of streaming technologies, along with the rising importance of data.

Areas of Focus

Hidden Brains focuses on providing real-time streaming solutions for diverse industry verticals.

  • Live Streaming

  • Video-on-Demand

  • Video Encoding/Transcoding

  • Social & Premium Syndication

  • Rendering

Our CapabilitiesIncorporate architectures and technologies for real-time analytics on data streaming.

Apache FlinK

Flink is an Open Source framework for distributed stream processing offering highly flexible streaming Windows for Continuous Streaming Model. It is capable of Batch processing and streaming in one system, as well as capable enough with many other open-source data processing ecosystems.

Apache Storm

Apache Storm is a distributed stream processing computation framework written in the Clojure programming language. Known for processing one million 100 byte msgs/sec/node, Apache Storm is highly scalable and reliable.

Amazon Kinesis

Amazon Kinesis Data Streams to collect and process large streams of data records in real time. Amazon Kinesis helps collect, process and analyze real-time, streaming data to provide valuable insights and react quickly to new information.

Apache Samza

Apache Samza provides a very simple callback-based “process message” API as compared to MapReduce. Samza manages snapshotting and restoration of stream processor’s state. Samza is partitioned and distributed at all levels to provide scalability.

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