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Databases · head to head

ScyllaDB vs Typesense

ScyllaDB logo

ScyllaDB

Databases

The real-time big data database compatible with Cassandra

From
Free
Rated
-
Typesense logo

Typesense

Databases

Open-source typo-tolerant search engine as an Algolia alternative

From
Free
Rated
-

The short version

  • Each has a real cost: ScyllaDB enterprise tier requires custom quote from sales; Typesense holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
  • They diverge on capability: ScyllaDB covers Cassandra Compatible, Typesense covers In-memory index.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which ScyllaDB and Typesense actually diverge.

Attributes where ScyllaDB and Typesense differ
AttributeScyllaDBTypesense
Pricing modelusage-basedOpen source, no licence fee; managed cloud billed separately
PlatformsLinux, Docker, Kubernetes, WebLinux, macOS, Docker, Self-hosted
Founded2015Unknown

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 ScyllaDB

  • Cassandra Compatible
  • DynamoDB Compatible
  • 10x Throughput
  • Low Latency
  • Auto-tuning
  • Lightweight Transactions
  • Change Data Capture
  • Cassandra Drivers

Only in Typesense

  • In-memory index
  • Typo tolerance
  • Faceting and filtering
  • Vector search

What people use each for

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

ScyllaDB

  • Real-time applicationsnot Typesense
  • Content managementnot Typesense
  • User profilesnot Typesense
  • Mobile backendsnot Typesense
  • Cachingnot Typesense

Typesense

  • Replacing Algolia when per-search pricing outgrows the valuenot ScyllaDB
  • Instant search over a product catalogue or documentation sitenot ScyllaDB
  • Hybrid keyword and vector search without running two systemsnot ScyllaDB

Where each one falls short

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

ScyllaDB

  • Enterprise tier requires custom quote from sales
  • Pricing varies by cloud provider, storage, and instance configuration
  • Contracts available but commitment required for subscription discounts

Typesense

  • Holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
  • Narrower than Elasticsearch by design: no log analytics or complex aggregation pipelines
  • Smaller ecosystem and community than Algolia or Elasticsearch, so fewer integrations exist off the shelf

Pricing, plan by plan

ScyllaDB

Free
  • ScyllaDB Cloud Standard$null/variable
    • Usage-based billing: vCPU, RAM, NVMe SSD storage
    • 2-hour P1 support response time
    • 99.9% uptime SLA
  • ScyllaDB Cloud Professional$null/variable
    • Enterprise-grade scalability
    • 1-hour P1 support response
    • Enhanced features included
  • ScyllaDB Cloud Premium$null/variable
    • Custom security and networking
    • 15-minute P1 support response
    • 99.99% uptime SLA
  • ScyllaDB Enterprise$null/quote
    • Self-managed deployment
    • On-premise or private cloud
    • Custom quote required

Typesense

Free
  • TypesenseFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose ScyllaDB if

  • You need cassandra compatible.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Web.
  • You also want dynamodb compatible.

Choose Typesense if

  • You need in-memory index.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want typo tolerance.

Questions people ask

Is ScyllaDB or Typesense better?
Neither clearly leads. ScyllaDB starts at Free and Typesense at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ScyllaDB or Typesense?
ScyllaDB starts at Free and Typesense at Free.
Does ScyllaDB or Typesense run on more platforms?
ScyllaDB runs on Linux, Docker, Kubernetes, Web. Typesense runs on Linux, macOS, Docker, Self-hosted.
Can I use ScyllaDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is ScyllaDB best used for?
ScyllaDB 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 Typesense is typically brought in for.
What can ScyllaDB do that Typesense cannot?
ScyllaDB covers Cassandra Compatible, DynamoDB Compatible, 10x Throughput, Low Latency. Typesense covers In-memory index, Typo tolerance, Faceting and filtering, Vector search.

Answered from the vendors’ own pages

ScyllaDB: How is ScyllaDB Cloud pricing calculated?

ScyllaDB Cloud uses transparent, resource-based billing based on instance type (vCPU and RAM), NVMe SSD storage, service plan tier, deployment model, and cloud provider costs.

Source
Typesense: Is Typesense free?

The engine is open source and free to self-host. Typesense Cloud is a paid managed option.

ScyllaDB: Does ScyllaDB offer a free trial?

ScyllaDB offers a 30-day developer trial on smaller instances and a 48-hour production evaluation trial with full-grade instances.

Source
Typesense: Why choose Typesense over Algolia?

Cost and control. Algolia charges per search and per record; Typesense can be self-hosted with no per-query fee, at the cost of running it yourself.

ScyllaDB: What cost savings are available for long-term ScyllaDB commitments?

ScyllaDB subscription contracts provide up to 70% or more in savings compared to on-demand hourly billing. 1-year and 3-year contract options are available.

Source
Typesense: Does Typesense support vector search?

Yes, including hybrid search combining keyword and semantic matching in one query.

ScyllaDB: How much cheaper is ScyllaDB than DynamoDB?

Unlike DynamoDB which charges per read/write unit, ScyllaDB charges based on resource usage only, potentially delivering 50% or greater cost reduction for high-throughput workloads.

Source
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