Tag: kafka

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 [...]
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 [...]
5 Things to Know about Open API

5 Things to Know About Open API Adoption

March 09, 2023
By: Briana Matejcik
The adoption of Application Programming Interfaces (APIs), open and otherwise, has become a ‘topic du jour’. API usage continues to surge and many API-based tools are emerging to help developers and engineering teams take full advantage of APIs.  At the recent Mobile World Congress (MWC) Barcelona, for example, APIs and API adoption was oft-discussed topics [...]
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 [...]
Stream Processing with Volt Active Data

3 Benefits of Using a In-Memory NewSQL Data Platform for Smart Stream Processing

April 30, 2019
By: Briana Matejcik
Traditional pub/sub systems such as Apache Kafka (and their numerous ever evolving stream processing avatars like Apache Samza, Apache Storm, Apache Flink, etc.) work fine for a bunch of simple use cases where there is a need for simple decisions, speed, scale and stability. However, for most real-life business scenarios in industries such as finance, [...]
Go fast! Blog post on fast data, translytics and Volt Active Data

Is “Translytics” Just Rebranded “OLTP”?

February 21, 2018
By: David Rolfe
Recently Forrester group has started to talk about "translytics" and Translytical Databases - databases that can “Deliver Analytics At The Speed Of Transactions”. Is this more marketing hype? Or is there something to it? A traditional OLTP database handles lots of rapid fire transactions, but doesn’t really do much more than that. An OLTP database application [...]
Kafka Summit 2017

Kafka Summit 2017 – Key Takeaways and Commentary

September 08, 2017
By: Volt Active Data Blog Staff

Last Monday on August 28th, a number of the Volt Active Data staff attended the Kafka Summit in San Francisco. This one-day event brought in over 700 attendees from the developer audience to attend 30+ valuable technical talks and breakout sessions, and meet directly with exhibiting sponsors like Volt Active Data to learn more about […]

Volt's Top 10 Capabilities

Learn More

Recent Posts

Top 3 Kafka Streams Challenges

Top 3 Kafka Streams Challenges

1 week ago
ACID vs CAP: What’s the Difference?

ACID vs CAP: What’s the Difference?

3 weeks ago
The 5 Biggest Challenges With APIs

The 5 Biggest Challenges With APIs

4 weeks ago

Contact Us

  • 184/A, Newman, Main Street Victor
  • info@examplehigh.com
  • 889 787 685 6

Follow Us