Databases · head to head
Apache Kafka vs Redis

Apache Kafka
Databases
Open-source distributed event streaming platform
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Kafka operationally heavy to self-host: brokers, storage, rebalancing and upgrades are a standing job, which is why managed Kafka is a large market; Redis licensing changed from BSD to AGPL in 2025, impacting open-source usage
- They diverge on capability: Apache Kafka covers Durable commit log, Redis covers In-memory data store.
Where they differ
Only the attributes on which Apache Kafka and Redis actually diverge.
| Attribute | Apache Kafka | Redis |
|---|---|---|
| Pricing model | Open source, no licence fee; managed services billed separately | Unknown |
| Platforms | Linux, Windows, macOS, Self-hosted, Docker | Linux, macOS, Windows |
| Category | Databases | Technology |
| Founded | Unknown | 2009 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Apache Kafka
- Durable commit log
- Horizontal scale
- Kafka Connect
- Kafka Streams
- Low latency
Only in Redis
- In-memory data store
- Data structures
- Pub/Sub messaging
- Lua scripting
- Transactions
- Persistence options
- Clustering
- Python
Both cover
- Replication
What people use each for
The jobs each tool is most often brought in to do.
Apache Kafka
- Moving events between services without point-to-point couplingnot Redis
- Feeding analytics and warehouses from operational systems in near real timenot Redis
- Replaying history to rebuild state after a consumer bugnot Redis
- Buffering bursty producers ahead of slower downstream systemsnot Redis
Redis
- Cachingnot Apache Kafka
- Session managementnot Apache Kafka
- Real-time analyticsnot Apache Kafka
- Message queuingnot Apache Kafka
- Leaderboardsnot Apache Kafka
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Kafka
- Operationally heavy to self-host: brokers, storage, rebalancing and upgrades are a standing job, which is why managed Kafka is a large market
- Overkill for straightforward job queues, where a simpler broker is easier to run and reason about
- Ordering guarantees hold per partition, not per topic, and getting partitioning wrong is a common and expensive design mistake
- The ecosystem is fragmented across the Apache project and vendor distributions, so documentation and tooling advice often assume a particular distribution
Redis
- Licensing changed from BSD to AGPL in 2025, impacting open-source usage
- All data must fit in memory, limiting scalability to available RAM
- No built-in support for multi-tenancy
- Limited transaction support compared to traditional databases
Pricing, plan by plan
Apache Kafka
Free- Apache KafkaFree
- Full platform
- Kafka Connect
- Kafka Streams
Redis
FreeNo published plan breakdown. See the Redis review.
Which should you pick?
Choose Apache Kafka if
- You need durable commit log.
- You want to start without paying.
- You work on Linux, Windows, macOS, Self-hosted, Docker.
- You also want horizontal scale.
Choose Redis if
- You need in-memory data store.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want data structures.
Questions people ask
- Is Apache Kafka or Redis better?
- Neither clearly leads. Apache Kafka starts at Free and Redis at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Kafka or Redis?
- Apache Kafka starts at Free and Redis at Free.
- Does Apache Kafka or Redis run on more platforms?
- Apache Kafka runs on Linux, Windows, macOS, Self-hosted, Docker. Redis runs on Linux, macOS, Windows.
- Can I use Apache Kafka for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Kafka best used for?
- Apache Kafka is most often used for moving events between services without point-to-point coupling, feeding analytics and warehouses from operational systems in near real time, replaying history to rebuild state after a consumer bug, buffering bursty producers ahead of slower downstream systems. Of those, moving events between services without point-to-point coupling and feeding analytics and warehouses from operational systems in near real time are not what Redis is typically brought in for.
- What can Apache Kafka do that Redis cannot?
- Apache Kafka covers Durable commit log, Horizontal scale, Kafka Connect, Kafka Streams. Redis covers In-memory data store, Data structures, Pub/Sub messaging, Lua scripting. Both handle Replication.
Answered from the vendors’ own pages
Apache Kafka: Is Apache Kafka free?
Yes. Kafka is open source under the Apache License v2 with no licence fee. Costs come from the infrastructure you run it on, or from a managed service such as Confluent Cloud.
Redis: Is Redis open source?
Redis was open source under the BSD license since its inception in 2009 and has remained open source. However, in 2024-2025, Redis Labs changed licensing to source-available and AGPL, prompting the creation of Valkey, a BSD-licensed open-source fork.
SourceApache Kafka: How is Kafka different from a message queue?
A queue usually removes a message once it is consumed. Kafka keeps an ordered, durable log, so consumers track their own position and history can be replayed — which is what makes rebuilding state after a bug possible.
Redis: What is Redis used for?
Redis is an in-memory data structure store used primarily as a cache, database, and message broker. It provides high-speed data access for real-time applications, sessions, leaderboards, real-time analytics, and other use cases requiring fast data retrieval.
SourceApache Kafka: Who uses Kafka?
The project reports use by more than 80% of the Fortune 100, with over 5 million lifetime downloads.
Apache Kafka: Do I need to run Kafka myself?
No. Self-hosting is the operationally expensive option; managed services such as Confluent Cloud run the brokers for you and bill on throughput and storage instead.
Related pages
More on Apache Kafka
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- Redis vs PlanetScale
- Redis vs Meilisearch
- Redis vs Turso
- Redis vs Azure SQL
- Redis vs ClickHouse
- Redis vs Couchbase
- Redis vs DuckDB
- Redis vs MariaDB
- Redis vs Oracle Database
- Redis vs DataGrip
- Redis vs Firebolt
- Redis vs Google Cloud SQL
- Redis vs MotherDuck
- Redis vs Asana
- Redis vs ClickUp
- Redis vs Linear
- Redis vs Figma
- Redis vs Kubernetes
- Redis vs Notion
- Redis vs Datadog
- Redis vs Monday.com
- Redis vs Terraform
- Redis vs Docker
- Redis vs Greenhouse
- Redis vs Google Chrome
- Redis vs Intercom
- Redis vs Mozilla Firefox
- Redis vs Okta
- Redis vs PostHog
- Redis vs Supabase
- Redis vs Amplitude

