We may earn a commission if you buy through links on this page. It never changes a score or a ranking. How we make money
SurrealDB combines relational, document and graph database ideas, with flexible deployment options. That can suit apps consolidating data models, but it also raises migration and production questions: which parts of SurrealQL and your data model need rewriting, what will hosting cost, and which deployment or license terms apply? We compare seven alternatives for teams seeking a simpler fit, a self-hosted option, or a more focused system for documents, retrieval or analytics. Treat starting prices as entry points, not production estimates.
01Why people leave SurrealDB
The multi-model design may be more than you need
One Reddit thread asked why a team would choose SurrealDB over PostgreSQL. If your app needs one data model, a focused database may simplify the stack.
Query and migration details need checking
SurrealDB uses SurrealQL. Moving to another database means assessing query rewrites, data-model changes and which application integrations need updating.
Production terms can affect the deployment
The listed entry price is $15 with a free plan. Verify production costs, limits, deployment options and license terms against your intended use.
02The alternatives, ranked by fit
- Best open-source default
PostgreSQLPostgreSQLPostgreSQL is a free, open-source, self-hostable database with community resources and no published usage limits. Its listed starting price is n/a, with a free plan. Pick it when you want to own the database deployment rather than adopt a multi-model system. SurrealQL queries and SurrealDB-specific data structures will need migration work; managed hosting costs depend on the provider.
Trade-off: You give up SurrealDB’s combined relational, document and graph model.
8.4/10from
Freefree plan - Best for documents
MongoDBMongoDBMongoDB fits applications built around document-shaped data and offers cloud or self-managed deployment. The listed starting price is $8 with a free plan; Atlas search and vector features may suit retrieval workloads. Choose it when documents are the core model, not as a direct SurrealDB replacement. Plan to rewrite SurrealQL queries and check the costs of your chosen deployment and features.
Trade-off: Graph relationships may need a different representation or system.
7.2/10from
$8/mofree plan - Best managed Postgres
NeonNeonNeon pairs managed PostgreSQL with branching and backend services, making it a candidate for apps that need managed Postgres or isolated preview databases. The listed starting price is $15 with a free plan, and paid bills depend on usage. It changes the hosting model, not the migration work: assess SurrealQL queries and data structures before moving.
Trade-off: You trade SurrealDB’s multi-model approach for managed PostgreSQL.
7.6/10from
$15/mofree plan - Best shared retrieval data
RedisRedisRedis suits applications needing fast shared data, AI-agent retrieval context or multi-region reads. Its listed starting price is $5 with a free plan, and deployment options include cloud and self-managed. It can replace a focused retrieval or shared-data role, but the product description does not position it as a general multi-model database. Scope the migration to that workload.
Trade-off: It is not a like-for-like home for every application data model.
7.5/10from
$5/mofree plan - Best search and retrieval
ElasticsearchElasticsearchElasticsearch is a focused option for production search, vector and hybrid retrieval, particularly for teams already using Elastic Stack. The listed starting price is $99. Its usage-based costs and operational complexity need planning, so compare the search workload separately rather than moving all SurrealDB data by default. Rework queries and confirm which data remains in a primary database.
Trade-off: Search focus brings operational complexity and usage-based costs.
7.5/10from
$99/mo - Best real-time analytics
ClickHouseClickHouseClickHouse is built for real-time analytics over large datasets and supports local SQL queries on data files. The listed starting price is n/a, with no price specified. Consider it when analytics is the workload you want to separate from SurrealDB. Teams must own the data model and operations; assess whether application reads and writes belong elsewhere.
Trade-off: It is an analytics choice, not a general multi-model substitute.
8.3/10from
Custom - Best in-process analytics
DuckDBDuckDBDuckDB puts analytical SQL in an application and suits local data wrangling or pipelines using open data formats. It has a free plan and no database license fee; the listed starting price is n/a. Choose it to replace an analytics component, not as a shared application database. Check how its in-process model fits your app and deployment.
Trade-off: It does not replace a shared, multi-model database by itself.
8.5/10from
Freefree plan
03Side by side
| Tool | Score | From | Free plan | Best for |
|---|---|---|---|---|
| 7.2 | $15/mo | Yes | Agent memory and retrieval | |
| 8.4 | Free | Yes | Teams that want open-source database software | |
| 7.2 | $8/mo | Yes | Apps built around document-shaped data | |
| 7.6 | $15/mo | Yes | Apps needing managed Postgres | |
| 7.5 | $5/mo | Yes | Apps needing shared, fast data | |
| 7.5 | $99/mo | No | AI apps needing hybrid retrieval | |
| 8.3 | Custom | No | Real-time analytics on large datasets | |
| 8.5 | Free | Yes | Local SQL analytics and data wrangling |
Questions people ask
Which SurrealDB alternative is open source and self-hostable?
PostgreSQL is listed as free, open source and self-hostable, with no published usage limits. MongoDB also offers self-managed deployment. Compare the operational work and licensing terms for your intended use; self-hosting shifts database operations to your team rather than removing them.
Which alternative is cheapest?
The listed starting prices are Redis at $5, MongoDB at $8, and Neon at $15, each with a free plan. These are entry points, not production estimates. Redis is focused on shared data and retrieval, MongoDB on documents, and Neon on managed PostgreSQL, so compare costs for the workload you will actually move.
Can I migrate from SurrealDB without rewriting queries?
Do not assume so. SurrealDB uses SurrealQL, and the alternatives here have different database models and deployment roles. Before choosing one, inventory queries, record relationships, nested data, retrieval features and application integrations. Estimate migration work against the specific target and verify any target-specific limits or API requirements in its current documentation.
