SurrealDB alternatives

01Why people leave SurrealDB

02The alternatives, ranked by fit

1. Document-first applications

   MongoDBMongoDB

   Choose MongoDB if your application is document-first and you want to stop paying for breadth you do not need. Its listed fit also includes teams choosing between cloud and self-managed use. The pricing summary lists a free plan and a starting price of $8. This is a better match for document-shaped application data than choosing SurrealDB solely because it supports several models.

   Trade-off: You are choosing a document-first database, not SurrealDB’s stated mix of relational, document and graph models.

   MongoDB review
   7.2/10

   from
   $8/mofree plan
2. Relational data with JSON

   PostgreSQLPostgreSQL

   PostgreSQL is the clearest alternative to evaluate if your data is relational and you still need JSON. It is listed as open source with a free plan, and its stated tradeoff is that teams need to plan schemas. A Reddit commenter’s direct question—why use SurrealDB over Postgres?—makes this a sensible baseline before adopting a broader database.

   Trade-off: Schema planning is part of the deal; its listed fit is relational data with JSON, not an all-model consolidation pitch.

   PostgreSQL review
   8.0/10

   from
   Freefree plan
3. Postgres with branching

   NeonNeon

   Neon fits teams already choosing Postgres, especially projects that need database branching or have variable load. That gives you a more focused Postgres route than switching to SurrealDB for multiple data models. The listing includes a free plan and a $15 starting price, but calls out usage-based pricing as something to budget carefully.

   Trade-off: Usage-based pricing needs close budgeting, and the listed fit is specifically a Postgres backend.

   Neon review
   7.0/10

   from
   $15/mofree plan
4. Documents and vector search

   MongoDB AtlasMongoDB Atlas

   MongoDB Atlas is worth comparing when the project is document-based and also needs vector search, or when developers want to explore on a free tier. Its listed starting price is $8 with a free plan. Compared with choosing SurrealDB for broad model coverage, Atlas gives teams a more specific document-and-search reason to switch.

   Trade-off: Its listed use case is document apps and vector search, not broad data-model consolidation.

   MongoDB Atlas review
   7.3/10

   from
   $8/mofree plan
5. AI agent memory

   RedisRedis

   Redis is a more targeted option if your reason for considering SurrealDB is AI-agent memory, caching or streaming. Those are the listed Redis use cases, and the pricing summary shows a free plan with a $5 starting price. Compare it for those needs rather than treating it as a like-for-like replacement for every database workload.

   Trade-off: Redis Pro has a $200 monthly minimum, which changes the cost calculation.

   Redis review
   7.4/10

   from
   $5/mofree plan
6. Real-time analytics

   ClickHouseClickHouse

   ClickHouse is the better fit to evaluate when the main workload is real-time analytics or SQL over large datasets. The listing notes local and cloud options, with no starting price published. Its stated caution is practical: the engineering work and variable cloud bill need to fit your team before you move an analytics workload.

   Trade-off: The listing warns about engineering demands and a variable cloud bill; no starting price is published.

   ClickHouse review
   7.8/10

   from
   Custom
7. Local SQL analytics

   DuckDBDuckDB

   DuckDB suits SQL-based local data wrangling, including work with CSV or Parquet files, when you want a free analytical database. The listing gives no starting price and identifies a free plan. It is a narrower choice than SurrealDB: evaluate it for analytics, and verify concurrency and support details before relying on it.

   Trade-off: Concurrency and support details need verification; its listed focus is analytical work.

   DuckDB review
   8.0/10

   from
   Freefree plan

03Side by side

Tool	Score	From	Free plan	Best for
SurrealDB SurrealDB (current)	6.9	$15/mo	Yes	Teams consolidating varied data models
MongoDB MongoDB	7.2	$8/mo	Yes	Document-first application data
PostgreSQL PostgreSQL	8.0	Free	Yes	Teams choosing an open-source database
Neon Neon	7.0	$15/mo	Yes	Teams building on Postgres
MongoDB Atlas MongoDB Atlas	7.3	$8/mo	Yes	Teams building document-based applications
Redis Redis	7.4	$5/mo	Yes	Apps needing real-time caching and streaming
ClickHouse ClickHouse	7.8	Custom	No	Teams building real-time analytics
DuckDB DuckDB	8.0	Free	Yes	SQL-based local data wrangling

Prices from each vendor's pricing page, checked Nov 7, 2026.