Software · head to head
Elasticsearch vs SurrealDB

Elasticsearch
Software
The heart of the Elastic Stack for search and analytics
- From
- Free
- Rated
- -

SurrealDB
Software
Multi-model database combining documents, graphs, vectors and time-series
- 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; SurrealDB the listed $0.192/node/hr Scale pricing lacks transparent higher-tier rates, requiring a sales conversation for full production sizing.
- They diverge on capability: Elasticsearch covers Full-text Search, SurrealDB covers Multi-model engine.
Where they differ
Only the attributes on which Elasticsearch and SurrealDB actually diverge.
| Attribute | Elasticsearch | SurrealDB |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Linux, Windows, macOS, Docker, Kubernetes | web, api, windows, mac, linux |
| Founded | 2010 | 2022 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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
- Full-text Search
- Real-time Analytics
- Distributed Architecture
- RESTful API
- Schema-free JSON
- Aggregations
- Machine Learning
- Kibana
Only in SurrealDB
- Multi-model engine
- ACID transactions
- Hybrid retrieval
- Horizontal scaling
- Multi-region disaster recovery
- FIPS-compliant cryptography
What people use each for
The jobs each tool is most often brought in to do.
Elasticsearch
- Real-time applicationsnot SurrealDB
- Content managementnot SurrealDB
- User profilesnot SurrealDB
- Mobile backendsnot SurrealDB
- Cachingnot SurrealDB
SurrealDB
- AI agent memory and retrieval-augmented generationnot Elasticsearch
- Applications needing documents, graphs and vectors in one databasenot Elasticsearch
- Knowledge graph construction from unstructured datanot Elasticsearch
- Regulated workloads requiring SOC2/ISO27001/HIPAA-eligible hostingnot 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
SurrealDB
- The listed $0.192/node/hr Scale pricing lacks transparent higher-tier rates, requiring a sales conversation for full production sizing.
- As a newer multi-model database, it has a smaller ecosystem of drivers, ORMs and community tooling than established single-model databases.
- HIPAA compliance is only available as an Enterprise add-on rather than included in standard paid tiers.
- Combining multiple data models in one engine can add query-planning complexity compared to purpose-built single-model databases.
Pricing, plan by plan
Elasticsearch
Free- Self-ManagedFree
- Open source
- Self-hosted
- Elasticsearch Cloud$16.4/month
- Managed service
- 14-day free trial
SurrealDB
Free- StartFree
- 1 free instance, then from $0.021/hr
- 1GB storage free forever
- Vertical scaling to terabytes
- Scale$0.192/month
- $0.192/node/hr
- Production-grade fault tolerance
- Horizontal scaling to petabytes
- Enterprise$undefined/month
- Self-hosted, custom pricing
- Clustered fault-tolerant deployments
- FIPS-compliant cryptography
Which should you pick?
Choose Elasticsearch if
- You need full-text search.
- You want to start without paying.
- You work on Linux, Windows, macOS, Docker, Kubernetes.
- You also want real-time analytics.
Choose SurrealDB if
- You need multi-model engine.
- You want to start without paying.
- You work on web, api, windows, mac, linux.
- You also want acid transactions.
Questions people ask
- Is Elasticsearch or SurrealDB better?
- Neither clearly leads. Elasticsearch starts at Free and SurrealDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Elasticsearch or SurrealDB?
- Elasticsearch starts at Free and SurrealDB at Free.
- Does Elasticsearch or SurrealDB run on more platforms?
- Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes. SurrealDB runs on web, api, windows, mac, linux.
- 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 SurrealDB is typically brought in for.
- What can Elasticsearch do that SurrealDB cannot?
- Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. SurrealDB covers Multi-model engine, ACID transactions, Hybrid retrieval, Horizontal scaling.
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.
SourceSurrealDB: What does SurrealDB cost?
SurrealDB Cloud's Start plan is free with one free instance (then from $0.021/hr), the Scale plan runs $0.192/node/hr for production workloads, and Enterprise self-hosted deployments use custom pricing.
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.
SourceSurrealDB: Is there a free plan and what are its limits?
Yes, the Start plan includes one free instance with 1GB of storage free forever and 1GB of outbound data transfer per month, aimed at prototypes and development.
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.
SourceSurrealDB: How is billing handled?
Customers are invoiced monthly based on actual usage in a pay-as-you-go model with no long-term commitments, though commitment-based discounts are available.
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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