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Comparison · DevOps

Manticore Search vs osm2pgsql

A side-by-side editorial comparison of Manticore Search and osm2pgsql — release velocity, themes, recent moves, and the top alternatives to consider.

Manticore Search vs osm2pgsql: at a glance

FeatureManticore Searchosm2pgsql
SectorDevOpsDevOps
Velocity score5.00.0
Sparks · 30d00
Top themessearch-engine, open-source, sql, performanceopenstreetmap, postgis, tile-expiry, lua-scripting
Last editorial update2d ago2mo ago
WebsiteVisit →Visit →

What is Manticore Search?

Manticore 31.0.7 undoes a 2x COUNT(DISTINCT) slowdown its own collation fix caused.

Manticore Search's 31.x tags so far are fixes rather than features. 31.0.3 and 31.0.4 were CI and packaging work; 31.0.7 restores string COUNT(DISTINCT) speed after the 29.18.5 collation fix made it 2x slower (1.1 s to 2.4 s on the logs10m benchmark) by calling tolower() per byte. A lookup table replaces the call without changing hash values, so secondary indexes and histograms stay compatible.

Read the full Manticore Search trajectory →

What is osm2pgsql?

osm2pgsql is rebuilding tile expiry so a small edit stops invalidating a whole lake.

osm2pgsql ships two or three releases a year and the last two carry substantial new machinery. 2.3.0 reworked tile expiry: polygons are now expired by shape rather than bounding box, and an opt-in diff expire mode computes the symmetric difference between an object's old and new geometry so a small edit to a large feature only invalidates the tiles it actually touched. It also added configurable limits on how many tiles one geometry or one run can expire. Before that, 2.2.0 introduced Locators for fast region lookup during import and process_deleted_* callbacks for handling removed objects in Lua.

Read the full osm2pgsql trajectory →

Manticore Search vs osm2pgsql: editorial side-by-side

M5.0

Manticore 31.0.7 undoes a 2x COUNT(DISTINCT) slowdown its own collation fix caused.

◆ Current state

Manticore Search's 31.x tags so far are fixes rather than features. 31.0.3 and 31.0.4 were CI and packaging work; 31.0.7 restores string COUNT(DISTINCT) speed after the 29.18.5 collation fix made it 2x slower (1.1 s to 2.4 s on the logs10m benchmark) by calling tolower() per byte. A lookup table replaces the call without changing hash values, so secondary indexes and histograms stay compatible.

◆ Where it's heading

October has been correctness work on string handling (range filters, collation-aware COUNT(DISTINCT)) followed by fixing the performance cost of those fixes. The 31.x line still appears in the feed without notes on what features justified the major version.

◆ Prediction

Expect more 31.0.x patches in this vein. What new capability defines 31.x remains unclear from these entries.

O
osm2pgsql
DEVOPS
0.0

osm2pgsql is rebuilding tile expiry so a small edit stops invalidating a whole lake.

◆ Current state

osm2pgsql ships two or three releases a year and the last two carry substantial new machinery. 2.3.0 reworked tile expiry: polygons are now expired by shape rather than bounding box, and an opt-in diff expire mode computes the symmetric difference between an object's old and new geometry so a small edit to a large feature only invalidates the tiles it actually touched. It also added configurable limits on how many tiles one geometry or one run can expire. Before that, 2.2.0 introduced Locators for fast region lookup during import and process_deleted_* callbacks for handling removed objects in Lua.

◆ Where it's heading

The project is adding primitives rather than features, and saying so explicitly — 2.2.0 describes Locators and deleted callbacks as building blocks for things users have requested for years. The pattern is to move work that previously happened in the database after import into the import pipeline itself: region tagging via Locators instead of a post-import spatial join, deletion handling via callbacks instead of database triggers. The expiry work follows the same logic, pushing precision upstream so downstream re-rendering does less. The new expiry limits are a defensive addition, added specifically because vandalism or misconfiguration can otherwise generate billions of tiles and exhaust memory.

◆ Prediction

Expect diff expire to move from opt-in toward default once it has been exercised, following the pattern of the middle table format that became default in 1.11.0. The experimental osm2pgsql-expire command introduced in 2.2.0 is the other loose thread — it is explicitly marked as subject to change and has not stabilised.

Alternatives to Manticore Search and osm2pgsql

Other DevOps products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Manticore Search or osm2pgsql.

See all Manticore Search alternatives → · See all osm2pgsql alternatives →

Recent activity from Manticore Search and osm2pgsql

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3d agoManticore Search31.0.7: string COUNT(DISTINCT) 2x slowdown fixed
  2. 6d agoManticore Search31.0.4: CI fix for bundled Debian dependencies
  3. 6d agoManticore Search31.0.3: Test Kit pinned to Executor 1.4.6
  4. 8d agoManticore Search29.18.7: Manticore Buddy sidecar bumped to 4.4.8
  5. 9d agoManticore Search29.18.6: crash dumps now name the operation and table
  6. 9d agoManticore SearchFix: COUNT(DISTINCT) on strings now respects session collation
  7. 3mo agoosm2pgsql2.3.1 fixes a diff-expire segfault with multiple expire outputs
  8. 4mo agoosm2pgsqlDiff expire invalidates only the tiles a change actually touched ⚡
  9. 1y agoosm2pgsqlLocators and deleted-object callbacks land as new primitives ⚡
  10. 1y agoosm2pgsql2.1.1 refuses to update when the flatnode file is missing
  11. 1y agoosm2pgsql2.1.0 makes prepared statements work with connection poolers
  12. 1y agoosm2pgsql2.0.1 fixes schema forwarding and missing binary installation

Frequently asked questions

What is the difference between Manticore Search and osm2pgsql?

They serve adjacent needs but don't currently overlap on shipped themes. Manticore Search is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Manticore Search better than osm2pgsql?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Manticore Search is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other DevOps products to evaluate alongside.

What are the best alternatives to Manticore Search?

Top Manticore Search alternatives in DevOps are ranked by recent ship velocity. Browse the "Manticore Search alternatives" section above for the current picks, or visit /alternatives/manticoresearch for the full list with editorial commentary on each.

What are the best alternatives to osm2pgsql?

Top osm2pgsql alternatives in DevOps are ranked by recent ship velocity. Browse the "osm2pgsql alternatives" section above for the current picks, or visit /alternatives/osm2pgsql for the full list with editorial commentary on each.