Database & Data Management · head to head
Elasticsearch vs Neo4j

Elasticsearch
Database & Data Management
The heart of the Elastic Stack for search and analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements; Neo4j auraDB Free has no service availability SLA, no backups and no point-in-time recovery
- They diverge on capability: Elasticsearch covers Real-time Analytics, Neo4j covers Native Graph Storage.
Where they differ
Only the attributes on which Elasticsearch and Neo4j actually diverge.
| Attribute | Elasticsearch | Neo4j |
|---|---|---|
| Pricing model | Unknown | freemium |
| Platforms | Linux, Windows, macOS, Docker, Kubernetes | Linux, Windows, Mac, Docker, Web |
| Founded | 2010 | 2007 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
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 Elasticsearch
- Real-time Analytics
- Distributed Architecture
- RESTful API
- Schema-free JSON
- Aggregations
- Machine Learning
- Kibana
- Logstash
Only in Neo4j
- Native Graph Storage
- Cypher Query Language
- ACID Transactions
- High Availability
- Graph Data Science
- Native Indexes
- GraphQL
- Spring Data
Both cover
- Full-text Search
- Linux support
- Windows support
- Mac support
- Docker support
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Elasticsearch
- Real-time applicationsnot Neo4j
- Content managementnot Neo4j
- User profilesnot Neo4j
- Mobile backendsnot Neo4j
- Cachingnot Neo4j
Neo4j
- Running a managed graph database on AWS, Azure or Google Cloudnot Elasticsearch
- Building knowledge graphs and GraphRAG retrieval for AI applicationsnot Elasticsearch
- Fraud detection, recommendations and supply chain analysis over connected datanot Elasticsearch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Elasticsearch
- Eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
- No support for ACID transactions or rollbacks; updates delete and re-insert documents
- JVM-dependent architecture requires careful memory management and monitoring to prevent garbage collection issues at scale
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
Elasticsearch
Free- Self-ManagedFree
- Open source
- Self-hosted
- Elasticsearch Cloud$16.4/month
- Managed service
- 14-day free trial
Neo4j
Free- CommunityFree
- Single database
- Cypher queries
- APOC library
- AuraDB FreeFree
- 50K nodes
- 175K relationships
- Cloud hosted
- AuraDB Professional$65/month
- Dedicated instance
- Auto-scaling
- Enterprise support
Which should you pick?
Choose Elasticsearch if
- You need real-time analytics.
- You want to start without paying.
- You work on Linux, Windows, macOS, Docker, Kubernetes.
- You also want distributed architecture.
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.
Questions people ask
- Is Elasticsearch or Neo4j better?
- Neither clearly leads. Elasticsearch 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, Elasticsearch or Neo4j?
- Elasticsearch starts at Free and Neo4j at Free.
- Does Elasticsearch or Neo4j run on more platforms?
- Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. Neo4j runs on Linux, Windows, Mac, Docker, Web.
- Can I use Elasticsearch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Elasticsearch best used for?
- Elasticsearch is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what Neo4j is typically brought in for.
- What can Elasticsearch do that Neo4j cannot?
- Elasticsearch covers Real-time Analytics, Distributed Architecture, RESTful API, Schema-free JSON. Neo4j covers Native Graph Storage, Cypher Query Language, ACID Transactions, High Availability. Both handle Full-text Search, Linux support, Windows support, Mac support.
Answered from the vendors’ own pages
Elasticsearch: Is Elasticsearch free?
Yes, Elasticsearch can be deployed as free and open-source software for self-managed installations. Elastic Cloud managed service starts at $16.40 per month, with a free 14-day trial available.
SourceElasticsearch: Can I use Elasticsearch without Kibana?
Yes, Elasticsearch is a search engine independent of Kibana. Kibana is a visualization and analytics tool that works with Elasticsearch but is optional. You can use the Elasticsearch API directly for searching.
SourceElasticsearch: Does Elasticsearch support real-time indexing?
Elasticsearch indexes data with a refresh interval, typically 1 second. Data becomes searchable after the refresh cycle, making it near-real-time but not instantaneous. This can be configured but impacts performance.
SourceElasticsearch: What are Elasticsearch's scaling limitations?
Elasticsearch requires careful operational management at scale, including shard balancing, heap sizing, and monitoring. Large clusters can suffer from garbage collection issues and become expensive to operate.
SourceElasticsearch: Does Elasticsearch support transactions and rollbacks?
No, Elasticsearch does not support ACID transactions or rollbacks. Updates are expensive operations that delete and re-insert documents, making it unsuitable for transactional workloads.
SourceRelated pages
More on Elasticsearch
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