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Databases · head to head

Marqo vs Turso

Marqo logo

Marqo

Databases

AI-native product discovery platform for ecommerce

From
On request
Rated
-
Turso logo

Turso

Databases

SQLite-lineage database platform for running very large numbers of small per-tenant databases, with an MIT-licensed engine.

From
Free
Rated
-

The short version

  • Only Turso has a free tier, so it costs nothing to try first.
  • Each has a real cost: Marqo pricing not publicly available, enterprise sales-only model; Turso sQLite allows one writer per database, so a single tenant's write throughput cannot be scaled horizontally and a busy tenant serialises against itself with no sharding option.
  • They diverge on capability: Marqo covers Semantic search, Turso covers Per-tenant databases.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Marqo and Turso actually diverge.

Attributes where Marqo and Turso differ
AttributeMarqoTurso
Starting priceOn requestFree
Pricing modelcontact-salesfreemium
Free tierNoYes
PlatformsWeb API, SaaSWeb
Founded2022Unknown

Identical on both: 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 Marqo

  • Semantic search
  • Multimodal image search
  • AI model training
  • Automated merchandising
  • Multi-surface integration
  • Commerce platform integrations
  • API access

Only in Turso

  • Per-tenant databases
  • MIT licence
  • Embedded replicas
  • SQLite compatibility
  • HTTP access
  • Branching
  • Point-in-time restore
  • In-process engine

What people use each for

The jobs each tool is most often brought in to do.

Marqo

  • Improve search revenue for fashion and beauty retailersnot Turso
  • Implement multimodal image and product searchnot Turso
  • Increase checkout conversion through better product discoverynot Turso
  • Create personalized product recommendationsnot Turso
  • Reduce customer support inquiries with relevant search resultsnot Turso

Turso

  • Multi-tenant SaaS where each customer gets their own database for real isolation, per-tenant restore and clean deletionnot Marqo
  • Agent or session infrastructure that creates a throwaway database per task and destroys it afterwardsnot Marqo
  • Local-first and offline-capable applications where an embedded replica serves reads at file speed and syncs when connectivity returnsnot Marqo
  • Embedding a SQLite-compatible engine in a product where the public domain original's closed contribution model is a problemnot Marqo

Where each one falls short

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

Marqo

  • Pricing not publicly available, enterprise sales-only model
  • Requires custom implementation and integration work
  • Limited to ecommerce use cases compared to general search
  • Model training requires sufficient customer behavior data

Turso

  • SQLite allows one writer per database, so a single tenant's write throughput cannot be scaled horizontally and a busy tenant serialises against itself with no sharding option.
  • Per-tenant databases mean per-tenant migrations, so every schema change becomes a fan-out job that must be idempotent and resumable, and multi-database schemas, the feature meant to solve this, is deprecated.
  • There are no cross-database queries; ATTACH is deprecated on the cloud, so any report or analytic spanning tenants must be assembled in your application or in a separate warehouse you also operate.
  • Data Edge, the multi-region edge replication that was Turso's original positioning, is deprecated, so a large share of the tutorials and articles describing Turso as an edge database describe behaviour you can no longer rely on.
  • Three engine lineages share the name, SQLite, the libSQL fork and the Rust rewrite, and the Rust engine is still maturing, so SQLite compatibility needs verifying against your specific pragmas, extensions and query patterns; the cloud already restricts journal_mode and busy_timeout and makes user_version read-only.

Pricing, plan by plan

Marqo

On request

No published plan breakdown. See the Marqo review.

Turso

Free
  • FreeFree
    • 100 databases
    • 5 GB storage
    • 500M monthly rows read
  • Developer$4.99/month
    • Unlimited databases
    • 9 GB storage
    • 2.5B monthly rows read
  • Scaler$24.92/month
    • Unlimited databases
    • 24 GB storage
    • 100B monthly rows read
  • Pro$416.58/month
    • Unlimited databases
    • 50 GB storage
    • 250B monthly rows read

Which should you pick?

Choose Marqo if

  • You need semantic search.
  • You work on Web API, SaaS.
  • You also want multimodal image search.

Choose Turso if

  • You need per-tenant databases.
  • You want to start without paying.
  • You also want mit licence.

Questions people ask

Is Marqo or Turso better?
Neither clearly leads. Marqo starts at On request and Turso at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Marqo or Turso?
Turso has a free tier; the other does not. Paid plans start at On request for Marqo and Free for Turso.
Does Marqo or Turso run on more platforms?
Marqo runs on Web API, SaaS. Turso runs on Web.
Can I use Turso for free?
Yes. Turso has a free tier, so you can try it without paying. Marqo starts at On request.
What is Marqo best used for?
Marqo is most often used for improve search revenue for fashion and beauty retailers, implement multimodal image and product search, increase checkout conversion through better product discovery, create personalized product recommendations. Of those, improve search revenue for fashion and beauty retailers and implement multimodal image and product search are not what Turso is typically brought in for.
What can Marqo do that Turso cannot?
Marqo covers Semantic search, Multimodal image search, AI model training, Automated merchandising. Turso covers Per-tenant databases, MIT licence, Embedded replicas, SQLite compatibility.

Answered from the vendors’ own pages

Marqo: How do Marqo models get trained?

Marqo trains dedicated AI models on each retailer's product catalog and customer behavior data including clicks, purchases, and browsing patterns. This ensures models are optimized for the specific retailer's products and customers.

Source
Turso: Is Turso just hosted SQLite?

Not exactly. It hosts databases built on the SQLite lineage: libSQL, an MIT fork of SQLite, and Turso Database, a newer Rust rewrite. The platform adds branching, backups, an HTTP API and programmatic database creation.

Marqo: What results can retailers expect from Marqo?

Enterprise retailers using Marqo report 10-23% increases in search revenue and conversion rates, with proven results across fashion, beauty, electronics, and home goods.

Source
Turso: Can I really run a million databases?

That is the design goal and the platform API exists to make provisioning and deletion programmatic. The practical constraints are the ones that come with it: migrations fan out, and nothing can query across databases.

Marqo: Which ecommerce platforms does Marqo integrate with?

Marqo has native integrations with Shopify, Adobe Commerce (Magento), and Salesforce Commerce Cloud, and also provides API access for custom implementations.

Source
Turso: How do embedded replicas handle read-after-write?

Reads come from the local replica and writes go to the primary, so a read immediately after a write can return stale data unless you wait for a sync. Application code has to account for that rather than assume it.

Marqo: How is Marqo priced?

Marqo pricing is customized based on catalog size, search volume, and feature requirements. Contact their sales team to book a demo and discuss pricing.

Source
Turso: What licence is it under?

libSQL and Turso Database are both MIT. Turso Cloud is a commercial managed service built on them, so the engine is genuinely open even though the platform is not.

Turso: Is Turso still an edge database?

No. Data Edge, the multi-region edge replication feature, is deprecated. The current positioning is per-tenant and embedded databases, and older material describing edge replication is out of date.

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