@lgarulli

Invented the Multi-Model Database concept, created #OrientDB Open Source DBMS (bought by @SAP), @Arcade_DB, ArcadeBrain and @LucasHealthAI

 Miami, Florida
arcadedata.com
Joined September 2009
  • Tweets4.7K
  • Following449
  • Followers2K
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Luca Garulli retweeted
Arcade DB@arcade_dbOct 19
What's the best algorithm for the shortest path between two points on a map? Dijkstra and A*: ~100 ms across 1M Florida junctions. Contraction Hierarchies: 0.04 ms. Same exact route, and it follows live traffic. Now in ArcadeDB, Apache 2.0: arcadedb.com/route-planning.…
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Luca Garulli retweeted
Arcade DB@arcade_dbOct 15
ArcadeDB 26.10.2 is out. • Query admission gate: a busy server queues requests instead of exhausting the heap • Point lookups 3 to 7x faster • Native openCypher temporals 682 issues and PRs closed. arcadedb.com/blog/arcadedb-2…

ArcadeDB 26.10.2: Query Admission Gate, Terminate Running Queries, Faster Point Lookups, and Native...

ArcadeDB 26.10.2 closes 682 issues and pull requests across about 1,360 commits. A query admission gate and list/terminate for running queries arrive, point lookups get 3 to 7 times faster through a...

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Luca Garulli retweeted
Arcade DB@arcade_dbOct 13
ISO GQL now runs in ArcadeDB's Cypher 25 engine: mix GQL and Cypher in the same query, no switch needed. Path modes, FILTER, INSERT and START TRANSACTION work today. arcadedb.com/blog/iso-gql-in… #GQL #GraphDatabase

ISO GQL in ArcadeDB: What Works Today

ArcadeDB runs ISO GQL syntax inside its native Cypher 25 engine. Here is what works today, what does not yet, and how GQL and Cypher mix in one query.

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Two weeks after its first commit, PhotoCraft, a self-described clean-room Photoshop clone written in Rust, passed 46,000 stars on GitHub. It’s one of seven open source apps from ArtCraft that mirror Adobe’s lineup, from Illustrator to Premiere to Acrobat, built with AI assistance
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The question for the next few years isn’t who writes the code, it’s who maintains it and how that work gets funded. That’s where the winners get decided. My take: in times like these, being open source can be a real advantage.
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You are already building the one thing a clone can’t copy, an active community that uses, tests, fixes and champions your product. Code can be regenerated in weeks. Trust and people can’t. Where do you see the real moat in software today?
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👥 Tom Sawyer Digital Engineering uses connected data visualizations and ArcadeDB to help teams explore systems and supply chains.   📰 Read more: bit.ly/4xTs4rG #TomSawyerSoftware
Our newest offering, Tom Sawyer Digital Engineering 1.0, uses interactive graph and data visualizations to help teams explore system structures, plans, workflows, dependencies, and supply chains.

ALT Our newest offering, Tom Sawyer Digital Engineering 1.0, uses interactive graph and data visualizations to help teams explore system structures, plans, workflows, dependencies, and supply chains.

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Luca Garulli retweeted
Arcade DB@arcade_dbOct 8
Kainora gives retrieval more paths to evidence: a knowledge graph in ArcadeDB, next to keyword and vector search, running on Docker and Kubernetes. Read the case study: arcadedb.com/case-studies/ka… #GraphRAG #KnowledgeGraph

Kainora Case Study

How Kainora uses ArcadeDB’s graph to give retrieval extra paths to evidence, alongside keyword and vector search.

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Luca Garulli retweeted
Arcade DB@arcade_dbOct 6
ArcadeDB 26.10.1 is out. 1,244 issues resolved, 984 bug fixes (75 critical), ~300 HA/Raft fixes, 4 security advisories patched, 100+ wire protocol improvements (Postgres, MongoDB, Redis, Bolt). The "make it rock solid" release. arcadedb.com/blog/arcadedb-2…

ArcadeDB 26.10.1: HA Hardening, Lost-Update Fixes, Consistent Equality, and 4 Security Advisories

ArcadeDB 26.10.1 closes 1,615 issues and pull requests across about 3,100 commits. Raft high availability is hardened end to end, lost updates and silent data loss are closed, index, SQL and Cypher...

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The PostgreSQL community is working on SQL/PGQ: MATCH patterns for graph queries, written in SQL. Will that make it a graph database? We ran LDBC LSQB (SF1, 3.9M vertices, 17.9M edges) on both. ArcadeDB: 2.21 s total PostgreSQL: 69.07 s total 31x gap. Here is why
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ArcadeDB also keeps graph, documents, vectors and geospatial in one engine and one transaction. No second system to sync when your graph needs embeddings or location.
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Full write-up with the numbers and the query-by-query breakdown: arcadedb.com/blog/arcadedb-v… Think we set something up unfairly? Tell us. We will look at it and publish the correction.

ArcadeDB vs PostgreSQL for Graph Queries: Why SQL/PGQ Doesn’t Replace a Graph Database

PostgreSQL 19 was going to ship SQL/PGQ graph queries, then reverted them. Even when they land, they compile to joins. We ran the LDBC LSQB benchmark: ArcadeDB finished all nine queries 31x faster...

arcadedb.com
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