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Databases · head to head

Presto vs SurrealDB

Presto logo

Presto

Databases

The Meta-lineage distributed SQL query engine, distinct from the Trino fork

From
Free
Rated
-
SurrealDB logo

SurrealDB

Databases

Multi-model database combining documents, graphs, vectors and time-series

From
Free
Rated
-

The short version

  • Each has a real cost: Presto the original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.; 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: Presto covers Federated querying, SurrealDB covers Multi-model engine.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Presto and SurrealDB actually diverge.

Attributes where Presto and SurrealDB differ
AttributePrestoSurrealDB
Pricing modelOpen source, no licence feeusage-based
PlatformsLinux, Docker, Kubernetesweb, api, windows, mac, linux
FoundedUnknown2022

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 Presto

  • Federated querying
  • In-memory execution
  • Open table format support
  • Presto C++ workers
  • ANSI SQL
  • Pluggable connectors

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.

Presto

  • An existing PrestoDB estate that needs continued upgrades rather than a migration to Trinonot SurrealDB
  • A team buying IBM watsonx.data, where Presto is the underlying query enginenot SurrealDB
  • Joining a Hive or Iceberg lake to an operational PostgreSQL database in one query without an ETL stepnot SurrealDB
  • Very large scale interactive SQL where the Meta-tested branch is a specific requirementnot SurrealDB

SurrealDB

  • AI agent memory and retrieval-augmented generationnot Presto
  • Applications needing documents, graphs and vectors in one databasenot Presto
  • Knowledge graph construction from unstructured datanot Presto
  • Regulated workloads requiring SOC2/ISO27001/HIPAA-eligible hostingnot Presto

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Presto

  • The original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.
  • Documentation, tutorials and Stack Overflow answers for the two projects are frequently mixed up, and a solution written for Trino often does not apply, which costs real debugging time.
  • It is a query engine with no storage of its own, so query performance is dictated by your file layout, partitioning and statistics, and a badly organised lake makes Presto look slow.
  • Memory-bound execution means a single large join can fail the whole query rather than spilling gracefully, and tuning cluster memory settings is a persistent operational chore.
  • Commercial support has consolidated into IBM since the Ahana acquisition, so the independent vendor market that once existed around Presto is largely gone.

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

Presto

Free
  • PrestoFree
    • Apache 2.0 licence
    • Presto Foundation governance under the Linux Foundation
    • No node or query limits

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 Presto if

  • You need federated querying.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want in-memory execution.

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 Presto or SurrealDB better?
Neither clearly leads. Presto 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, Presto or SurrealDB?
Presto starts at Free and SurrealDB at Free.
Does Presto or SurrealDB run on more platforms?
Presto runs on Linux, Docker, Kubernetes. SurrealDB runs on web, api, windows, mac, linux.
Can I use Presto for free?
Both have a free tier, so you can try either at no cost before committing.
What is Presto best used for?
Presto is most often used for an existing prestodb estate that needs continued upgrades rather than a migration to trino, a team buying ibm watsonx.data, where presto is the underlying query engine, joining a hive or iceberg lake to an operational postgresql database in one query without an etl step, very large scale interactive sql where the meta-tested branch is a specific requirement. Of those, an existing prestodb estate that needs continued upgrades rather than a migration to trino and a team buying ibm watsonx.data, where presto is the underlying query engine are not what SurrealDB is typically brought in for.
What can Presto do that SurrealDB cannot?
Presto covers Federated querying, In-memory execution, Open table format support, Presto C++ workers. SurrealDB covers Multi-model engine, ACID transactions, Hybrid retrieval, Horizontal scaling.

Answered from the vendors’ own pages

Presto: Is this Presto or Trino?

This is PrestoDB, the branch that stayed at Facebook and moved to the Linux Foundation. Trino is the 2020 fork by the original creators.

SurrealDB: 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.

Source
Presto: Which should I choose for a new project?

Trino, in most cases. It has the larger community, more connectors and more commercial options.

SurrealDB: 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.

Source
Presto: Who maintains Presto now?

Principally Meta, Uber and IBM, which acquired the Presto vendor Ahana in 2023.

SurrealDB: 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.

Source
Presto: Is it still actively released?

Yes, releases continue on a regular cadence under the Presto Foundation.

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