Category: Streaming/Kafka

Top 3 Kafka Streams Challenges

April 11, 2024
By: Mark Simborg
We’ve been writing a lot about challenges lately. We recently wrote about API challenges – now we’re discussing challenges with Kafka Streams.  Volt is very big on Kafka, as we specialize in complementing it in a really powerful way to allow enterprises to get the most out of it.  That said, a lot of companies [...]

Top 5 Real-Time Data Processing Trends of 2023

December 06, 2023
By: Mark Simborg
2023 was a huge year for real-time data processing. Enterprises are more focused than ever using real-time data to guide the path forward, and things like AI are changing the game.  As technology continues to evolve, real-time data processing has transformed from something closer to a buzzword to something that’s actually achievable, especially with technologies [...]
How to Add Real-Time Decisioning to Streaming Data

How to Add Real-Time Decisioning to Streaming Data

June 29, 2023
By: Briana Matejcik
Streaming data has become practically ubiquitous. From social media feeds to IoT sensors, businesses are now inundated with real-time data. The challenge is not only to store this data but also to make sense of it and act on it quickly. This is where real-time decisioning for streaming data comes into play. Real-time decisioning is [...]

When Does Streaming Data Become Real-Time Data?

June 08, 2023
By: David Rolfe
We’ve been hearing a lot about real-time data platforms and also about streaming data and streaming data-enabling messaging technology such as Apache Kafka.  The idea is to turn your streaming data into real-time data by using it while it still has value. This isn’t always easy to achieve. In fact, it’s almost never easy to [...]
Why Streaming Data Platforms Need True Real-Time Decisioning

Why Streaming Data Platforms Need True Real-Time Decisioning

May 30, 2023
By: David Rolfe
Simply put: in the year 2023 and for the foreseeable future, businesses need to be able to process and analyze data in real time to remain competitive.  Streaming data platforms such as Google Cloud Platform, Microsoft Azure, Databricks, Snowflake, AWS Kinesis, and Apache Kafka are becoming increasingly popular, but not all of them are capable [...]
Top 5 Apache Kafka Use Cases

Top 5 Apache Kafka Use Cases: When to Use Kafka

March 23, 2023
By: Briana Matejcik
Apache Kafka is now the official gatekeeper of streaming data. It’s a distributed data store designed and perfectly calibrated to ingest and process streaming data (ie, data continuously generated by thousands of sources) in real time.  As both the amount and value of streaming data rapidly grow, it’s becoming increasingly important for companies to start [...]
Kafka Event Stream Processing at Scale: Common Kafka Challenges

Kafka Event Stream Processing at Scale: Common Kafka Challenges

February 23, 2023
By: Briana Matejcik
Everyone has Kafka issues. Well, maybe not everyone, but most companies that end up using Apache Kafka in any meaningful way do end up facing certain Kafka challenges, most of which aren’t necessarily easy to resolve.  First off — why are companies even using Kafka in the first place?  In today’s real-time era, more and [...]

What is Streaming Data?

September 09, 2021
By: Mark Simborg
Streaming data is data that flows in continuously from highly distributed sources. These data streams are constantly feeding data that data platforms can use or act upon dynamically and in real time, without the need to download or batch it first.  Data streams come from a wide variety of sources and in many different formats, [...]

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