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Algolia vs Vespa

Both stand on ai search and discovery platforms software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Algolia

Free plan AndroidAPIExtension+2

Algolia pairs search APIs and developer libraries with tools for ranking, personalization, analytics, and merchandising. The Free plan has defined index and request limits, while hosting locations differ among paid plans.

Visit Algolia

Vespa

Free plan Open source APILinuxMac+3

Vespa offers varied search and ranking methods alongside self-managed and cloud deployment paths. Teams should account for Cloud quotas, the Startup plan’s development-zone limit, and trial credits that stop the application when depleted.

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The facts

AlgoliaVespa
Free planYesYes
Open sourceNoYes
Runs onAndroid, API, Extension, iPhone, WebAPI, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planGrow: $0.50 a monthSee the plans
Plans published46
MakerNot publishedNot published
Websitealgolia.comvespa.ai
On ai search and discovery platforms software#2 of 28#1 of 28

Algolia: what it does well

  • Combines keyword and semantic search
  • Includes autocomplete, analytics, and A/B testing
  • InstantSearch libraries cover major web frameworks and mobile
  • Free plan includes 10K search requests/month
  • Lists encrypted data transmission and storage

What to know first

  • Free plan has a 1 GB index size
  • Free plan allows 20 indices per application
  • Grow and Grow Plus list 100 GB index size
  • Hosting locations vary by plan

Vespa: what it does well

  • Supports vector, tensor, positional text, and structured-data search.
  • Can scale clusters without impacting queries or writes.
  • Supports ONNX and XGBoost ranking models.
  • Cloud trial includes $300 in credits without a card.
  • Cloud handles encryption and automatic OS patching.

What to know first

  • Cloud plans have quotas.
  • Startup is limited to development zones.
  • Startup has community support only, with no SLA.
  • Enclave adds cloud-provider resource costs.

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