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Site Search Engine: Meilisearch, Typesense and OpenSearch

A comprehensive comparison of Meilisearch, Typesense and OpenSearch based on data ownership, resource use, security, backup, upgrades and operational cost rather than a feature checklist.

Site Search Engine: Meilisearch, Typesense and OpenSearch
Short decision

No single tool fits every organization. Because document indexes, synonyms, API keys and query logs are critical, choose by recovery objectives, authorization model and operating capacity—not screenshots or popularity.

In this guide

  1. Decision matrix
  2. Technical option profiles
  3. Production architecture for Site Search Engine: Meilisearch, Typesense and OpenSearch
  4. Size from measurements, not guesses
  5. Identity, network and secret controls
  6. The real backup and rollback scope
  7. Pilot, data migration and cutover
  8. Verification commands
  9. Frequently asked questions

Decision matrix

Technical option profilesCapacity planningSecurity controlsBackup and rollback
Meilisearcha lean and fast startMFA · TLS · least privilegeDB · files · secrets · restore test
Typesenseenterprise process and permissionsMFA · TLS · least privilegeDB · files · secrets · restore test
OpenSearchintegration-heavy teamsMFA · TLS · least privilegeDB · files · secrets · restore test

Technical option profiles

Meilisearch

a lean and fast start

Validate the official installation, licensing, backup and upgrade documentation for Meilisearch during the pilot.

Typesense

enterprise process and permissions

Validate the official installation, licensing, backup and upgrade documentation for Typesense during the pilot.

OpenSearch

integration-heavy teams

Validate the official installation, licensing, backup and upgrade documentation for OpenSearch during the pilot.

Production architecture for Site Search Engine: Meilisearch, Typesense and OpenSearch

Expose only ports 80/443 through a reverse proxy; keep the application, database and queue on a private Docker network or VLAN. Test TLS termination, security headers, rate limits and real-client IP forwarding. Meilisearch, Typesense and OpenSearch may solve the same category while having different component counts and failure surfaces.

Size from measurements, not guesses

Capacity depends on more than users: concurrency, document indexes, synonyms, API keys and query logs, background jobs, indexing and retention alter CPU, RAM and NVMe requirements. Measure p95 latency, peak memory, disk IOPS and daily growth during a pilot, then retain at least 30 percent headroom.

Identity, network and secret controls

Require MFA for administrators, keep a separate emergency account and use SSO where practical. Remove defaults and overprivileged API tokens; store secrets outside the repository. Restrict administration by IP or VPN and export audit logs to a separate target.

The real backup and rollback scope

A database dump alone is incomplete. Back up document indexes, synonyms, API keys and query logs, configuration, encryption keys, uploaded files and exact version information as one recovery set. Use 3-2-1 copies, encrypted off-site storage and recurring isolated restore tests.

Pilot, data migration and cutover

Pilot with representative users and verify SSO, email, webhooks, mobile clients and export paths. Document a change freeze, final sync, reduced DNS TTL, acceptance test and rollback threshold. Recheck licensing and extension coverage in official documents before production.

Verification commands

Verification commands 1
curl -fsS http://127.0.0.1:7700/health
Verification commands 2
curl -fsS http://127.0.0.1:8108/health
Verification commands 3
curl -fsS http://127.0.0.1:9200/_cluster/health
Verification commands 4
df -hT

Official technical sources

Related EKA Sunucu guides

Frequently asked questions

Which option should I choose?

Score Meilisearch, Typesense and OpenSearch in a small pilot against your identity, integration, backup and reporting requirements.

What is the minimum server size?

There is no trustworthy universal number. Treat vendor minimums as a starting point and size from pilot measurements plus headroom.

Is Docker suitable for production?

Yes when versions are pinned and persistent volumes, health checks, log collection, backup and controlled upgrades exist.

How should upgrades work?

Read release notes, verify backup, test in staging and preserve a route to the previous image.

How do I prove a backup works?

Restore to an isolated target, sign in, compare record counts and verify sample file integrity.

VPS or dedicated server?

NVMe VPS is practical for many initial deployments; high IOPS, large storage or GPU demand may justify dedicated/GPU infrastructure.

Let us size the deployment

Share the user count, data growth, backup target and expected concurrency so the resources and architecture can be sized.

Explore VPS options Let us size the deployment
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