data · open source
Apache Kafka development
Distributed event streaming for high-throughput real-time pipelines.
- Category
- data
- Vendor
- Open source
- We use it for
- 6 capabilities
The honest assessment
- What it is
- Distributed event streaming for high-throughput real-time pipelines.
- Strongest at
- throughput and durable replay of event history
- Trade-off
- significant operational complexity unless you are genuinely at streaming scale
- Category
- data
- Vendor
- Open source
We hold no reseller commission on Apache Kafka. That is what makes the trade-off line above worth reading. It costs us nothing to tell you when this is the wrong choice.
Building with Apache Kafka
Apache Kafka is strongest at throughput and durable replay of event history. We reach for it when that is the property a workload actually depends on, and we say so when it is not.
Kafka's defining property is durable replay. Consumers can re-read history from any point, which means a downstream bug becomes a reprocessing job rather than permanently lost data.
It is also genuinely heavy to operate. Below real streaming volume, a database table and a queue deliver the same outcome with a fraction of the operational surface, and we would rather tell you that than sell the cluster.
We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong. Six weeks to something running in production, not six quarters to a strategy document.
Alternatives in data
Questions
What is Apache Kafka best at?
Throughput and durable replay of event history.
When would you not use Apache Kafka?
Significant operational complexity unless you are genuinely at streaming scale. We would look at pgvector or Pinecone in that situation.
Do you have a commercial relationship with Apache Kafka?
No. We hold no reseller commission on any technology we recommend, which is what lets the trade-off above be stated plainly.
Can you work with our existing Apache Kafka setup?
Yes. We would rather extend and stabilise something that already works than introduce a parallel system your team has to learn.
Working with Apache Kafka?
Tell us the workload and we will tell you whether this is the right tool for it.
Or email bd@dtrasglobal.com · call +91 74118 77878