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Databases · head to head

Apache Kafka vs Neo4j

Apache Kafka logo

Apache Kafka

Databases

Open-source distributed event streaming platform

From
Free
Rated
-
Full reviewWebsite
Neo4j logo

Neo4j

Databases

The world's leading graph database

From
Free
Rated
-
Full reviewWebsite

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; Neo4j auraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • They diverge on capability: Apache Kafka covers Durable commit log, Neo4j covers Native Graph Storage.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Kafka and Neo4j actually diverge.

Attributes where Apache Kafka and Neo4j differ
AttributeApache KafkaNeo4j
Pricing modelOpen source, no licence fee; managed services billed separatelyfreemium
PlatformsLinux, Windows, macOS, Self-hosted, DockerLinux, Windows, Mac, Docker, Web
FoundedUnknown2007

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

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
  • Replication
  • Low latency

Only in Neo4j

  • Native Graph Storage
  • Cypher Query Language
  • ACID Transactions
  • High Availability
  • Graph Data Science
  • Full-text Search
  • Native Indexes
  • GraphQL

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 Neo4j
  • Feeding analytics and warehouses from operational systems in near real timenot Neo4j
  • Replaying history to rebuild state after a consumer bugnot Neo4j
  • Buffering bursty producers ahead of slower downstream systemsnot Neo4j

Neo4j

  • Graph database for learning and explorationnot Apache Kafka
  • Production workloads requiring high availability and multi-zone redundancynot Apache Kafka
  • Enterprise deployments needing custom infrastructurenot 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

Neo4j

  • AuraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • AuraDB Free imposes limits on node and relationship counts and runs single-zone only
  • SSO authentication and role-based access control are excluded from AuraDB Free and AuraDB Professional, starting only at Business Critical at $146 per GB per month with a 2GB minimum cluster
  • AuraDB Professional starts at $65 per GB per month with a minimum 1GB cluster and caps at 128GB memory per instance
  • AuraDB Professional backups are daily with only 7-day retention, against 30 days on Business Critical
  • Customer managed keys and private endpoints are available only on AuraDB Virtual Dedicated Cloud, which is quote only with no published price
  • Change data capture, query log forwarding, secondaries and access to Neo4j Professional Services are excluded below the Business Critical tier
  • Support on AuraDB Free is community only and AuraDB Professional is best effort, with 24x7 one-hour response starting at Business Critical
  • AuraDB Virtual Dedicated Cloud is sold on prepaid contract terms with enterprise commercial negotiation rather than self-serve card payment

Pricing, plan by plan

Apache Kafka

Free
  • Apache KafkaFree
    • Full platform
    • Kafka Connect
    • Kafka Streams

Neo4j

Free
  • FreeFree
    • Learning and exploration access
    • No credit card required
    • All graph tools included
  • AuraDB Professional$65/GB/month
    • 1GB minimum cluster
    • Hourly billing available ($0.09/hour for 1GB)
    • Daily backups with 7-day retention
  • AuraDB Business Critical$146/GB/month
    • 2GB minimum cluster
    • Hourly billing available ($0.40/hour for 2GB)
    • Up to 512GB maximum
  • Virtual Dedicated Cloud$null/custom
    • Custom pricing via sales contact
    • Dedicated VPC infrastructure
    • Hourly backups with 60-day retention

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.
Apache Kafka review

Choose Neo4j if

  • You need native graph storage.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Docker, Web.
  • You also want cypher query language.
Neo4j review

Questions people ask

Is Apache Kafka or Neo4j better?
Neither clearly leads. Apache Kafka starts at Free and Neo4j at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Kafka or Neo4j?
Apache Kafka starts at Free and Neo4j at Free.
Does Apache Kafka or Neo4j run on more platforms?
Apache Kafka runs on Linux, Windows, macOS, Self-hosted, Docker. Neo4j runs on Linux, Windows, Mac, Docker, Web.
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 Neo4j is typically brought in for.
What can Apache Kafka do that Neo4j cannot?
Apache Kafka covers Durable commit log, Horizontal scale, Kafka Connect, Kafka Streams. Neo4j covers Native Graph Storage, Cypher Query Language, ACID Transactions, High Availability.

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.

Neo4j: Is Neo4j free?

Neo4j offers a free tier (AuraDB Free) for learning and exploration with no credit card required. Community Edition is also free and GPL3-licensed. Paid tiers start at $65/GB per month for AuraDB Professional.

Source
Apache 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.

Neo4j: What does Neo4j's Professional tier include?

AuraDB Professional costs $65/GB per month with a 1GB minimum cluster, includes daily backups with 7-day retention, single-zone availability, and best-effort support. Hourly billing is available at $0.09/hour per GB.

Source
Apache Kafka: Who uses Kafka?

The project reports use by more than 80% of the Fortune 100, with over 5 million lifetime downloads.

Neo4j: What is Neo4j's most advanced pricing tier?

AuraDB Business Critical costs $146/GB per month with a 2GB minimum and includes multi-zone redundancy, 99.95% uptime SLA, 24/7 premium support with one-hour response times, and point-in-time recovery.

Source
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.

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