Enrich vs Kafka

Kafka-scale ingestion without Kafka

Kafka is the industry standard for event streaming. But running Kafka—even managed—is an operational nightmare for teams who just need simple event ingestion.

The Key Difference

Kafka is infrastructure. Enrich is an API.

Sound familiar?

You need durable ingestion, not a distributed log to babysit

Parquet conversion and partitioning is your code to write

Every incident is your incident

Time to first event

Building it is not the same as using it

With Kafka / Confluent

Weeks, then permanent ownership

1.Provision brokers, replication and retention
2.Write producers, consumers and a sink connector
3.Build the Parquet conversion and partitioning yourself
4.Monitor lag, rebalances and disk forever

With enrich.sh

About a minute

Create a stream in the dashboard
POST your JSON to the endpoint
Parquet lands in your own bucket

Enrich.sh

Edge-Native Ingestion

$599/month

500M events included

Why Enrich Wins:

One API call, done. No brokers, no partitions

Zero DevOps team required

Edge-native with global coverage

Pay per event, not per cluster

📨

Kafka / Confluent

Event Streaming Platform

$1,000+/month for managed

Confluent Cloud pricing adds up fast. Self-hosted requires dedicated DevOps.

Where They Win:

Truly infinite horizontal scale

Stream processing with Kafka Streams

Industry standard with massive ecosystem

Feature Comparison

Head-to-Head.

Feature	Enrich	Kafka / Confluent
Edge-Native Ingestion
Sub-ms Acknowledgement
Raw Data Export
Parquet Output
Built-in Enrichment
Serverless Pricing
No Vendor Lock-in
Custom Field Mapping

Enrich is Ideal For

Teams who need Kafka-scale ingestion but don't want to run Kafka.

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