From big data to fast data, how Kafka will disrupt real-time streaming.

What is Kafka?

Apache Kafka is an open source project providing powerful distributed processing of continuous data streams – and is currently trusted in production by thousands of enterprises globally including the likes of Netflix, Twitter, Spotify, Uber and more.

The technology architecture and implementation makes it highly reliable and highly available, enabling stream processing applications to utilise geographically distributed data streams.

Real-time streaming data

With Real-time data you can React- Process- Transform in the real-time

  • Kafka Real-time data stream helps you react to events and insights as they happen and transform it to your advantage.
  • Historical Data coupled with real-time data stream from Kafka helps you take important decision for future.
  • Real-time data helps you gain competitive advantages and make big data more effective
  • Effective streaming for real-time data is the heart of most of the modern day applications and the architecture design and is no longer just a data que

Why are over a third of Fortune 500 companies using Kafka?

Kafka supports write and read scalability at the same time. This means you can stream enormous amounts of data to Kafka and carry out a real-time processing of the messages, including sending messages to other systems, for multiple different purposes concurrently.

The applications are really only limited by your imagination.

What industries are already using Kafka?

Kafka is being used across various industries including logistics, retail, healthcare, financial service, ecommerce, IoT and more.

For example in the logistic industry, Kafka is helping move the packages faster and helping companies achieve profitability. Given the real world complexity of logistics, it’s a good idea to try to keep track of the location of goods, warehouser, trucks. When the real-time data related to these 3 parameters passes through Kafka pipeline, one can gather information that can help for variety of different aspects such as collection, storage, delivery, planning and optimizing goods movement, real-time checking, auditing and fraud detection.

Similarly, patient’s medical records and medical test in the healthcare industry are required by insurance vendors, as well as facility management, bed management and patient EMR. Kafka pipeline helps deal with different scenarios.

Diagram: Kafka use case in Logistics results.

Instaclustr’s competitive edge:

With the addition of Kafka to the suite of solutions available through Instaclustr’s Open Source-as-a-Service platform, organizations using Instaclustr-managed Kafka are selecting an experienced provider distinguished by more than 20 million node hours under management and available technical teams that bring deep Kafka-specific expertise.

The managed Kafka offering follows the robust provisioning and management patterns used to deliver other leading open source technologies provided through the Instaclustr platform – including Apache Cassandra, Apache Spark, and Elassandra. Instaclustr Managed Apache Kafka is backed by advanced data technologies designed to deliver easy scalability, high performance, and uninterrupted availability. Additionally, Instaclustr provides customers with a SOC2 certified Kafka managed service, further ensuring secure data management and safeguarding client privacy.

About Instaclustr

Instaclustr is the Open Source-as-a-Service company, delivering reliability at scale. We operate an automated, proven, and trusted managed environment, providing database, analytics, search, and messaging. We enable companies to focus internal development and operational resources on building cutting-edge customer-facing applications.

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