Arcade DB

From a Reddit request, we have just added HugeGraph to the original article, not bad, scores better than #Kuzu and after @falkordb on PageRank.

Neo4j Alternatives in 2026 arcadedb.com/blog/neo4j-alt… #neo4j #memgraph #ladybugdb #arangodb #falkordb #database #nosql #dbms #benchmark

ArcadeDB's built-in MCP server lets your LLM query your database natively: SQL, Cypher, Gremlin, GraphQL, or MongoDB syntax. Role-based security, AST-level permission checking, zero deployment overhead. Conversational BI without the BI tool. arcadedb.com/blog/arcadedb-… #MCP

We're excited to announce ArcadeDB 26.3.1! Redesigned Studio with an AI assistant, built-in MCP server support, geospatial indexing, a new TimeSeries data model, materialized views, hash indexes, 72 built-in graph algorithms, parallel query execution github.com/ArcadeData/arc…

@kuzudb got archived after the Apple acquisition. If you're looking for a migration path, we wrote a practical guide to move from Kuzu to ArcadeDB — covering schema translation, data import, and query migration (most Cypher queries work unchanged). arcadedb.com/blog/from-kuzu…

"In 2025 it became apparent that vectors are no longer a specific database type but rather a data type integrated into multi-model databases." — @VentureBeat, Jan 2026 Discover ArcadeDB Multi-Model DBMS, graph + vector, Apache 2.0, no vendor lock-in venturebeat.com/data/six-data-…

ArcadeDB v26.2.1 is full of surprises. Did you know we introduced a new SQL parser, built with ANTLR (instead of JavaCC) that is 75.9% faster? blog.arcadedb.com/new-sql-parser #multimodel #graphdb #sql

With ArcadeDB 26.2.1 you can schedule automatic backups. Check out this new feature: blog.arcadedb.com/introducing-au… #graphdb #multimodel

ArcadeDB 26.2.1 is out! Biggest highlights: - @Neo4j Bolt protocol support - use standard Neo4j drivers - Full @openCypher TCK compliance - New SQL parser - SQL Triggers (SQL, JS, Java) - Scheduled Backups 200+ issues closed github.com/ArcadeData/arc… #graphdb #multimodel

Native OpenCypher: A Game-Changer for ArcadeDB Graph Queries A complete reimplementation that brings massive performance gains, a smaller footprint, and full support for modern Cypher syntax. Up to 187x faster. blog.arcadedb.com/native-opencyp… #cypher #GraphDatabase #Neo4j #OPENCYPHER

ArcadeDB v26.1.1 is out! New Native OpenCypher Engine, huge LSM Vector updates (Quantization, PQ and much more), 92 total issues resolved (!) github.com/ArcadeData/arc… #ArcadeDB #GraphDB #OpenCypher #VectorSearch #Database #OpenSource

2025 was a year of massive growth for ArcadeDB! 🚀 From boosting performance to expanding connectivity, we’ve taken multi-model databases to the next level. Read our full Year in Review here: blog.arcadedb.com/arcadedb-2025-… #MultiModel #GraphDatabase #NoSQL

🚀 ArcadeDB v25.12.1 is here! ✅ Fixed critical vector quantization bug ✅ New filtered vector search support ✅ Improved SQL functions & transaction logic ✅ 60+ dependency updates Release notes: github.com/ArcadeData/arc… #ArcadeDB #VectorDatabase #OpenSource

🚀 ArcadeDB v25.11.1 is live! We've integrated the JVector engine for high-performance vector search, critical SQL fixes, smarter indexing for embedded lists, and improved gRPC serialization. github.com/ArcadeData/arc… #ArcadeDB #OpenSource #GraphDB #VectorDatabase #NoSQL

Arcade 25.10.1 is out! Python Bindings for embedded use, significant query and indexing enhancements, bug fixes, SQL/Cypher compatibility, and much more #multimodel #graphdb github.com/ArcadeData/arc…

We're excited to announce the release of ArcadeDB version 25.9.1! This is a significant update that introduces powerful new features for developers, including experimental gRPC protocol support and multiple issues fixed. #graphdb #multimodel github.com/ArcadeData/arc…

@arcade_db @llama_index integration and arcadedb-python 0.3.0 available now: (Flexible GraphRAG using these later today) github.com/stevereiner/ar…

Flexible GraphRAG or RAG is now flexing to the max using @llama_index, supports 7 graph databases, 10 vector databases, 13 data sources, LLMs, doc processing, auto create KGs, 𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚, 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵, AI 𝗖𝗵𝗮𝘁 (shown @Hyland products web page data src) Apache 2.0 Open Source github.com/stevereiner/fl… Graph: @neo4j @arcade_db @falkordb @kuzudb @NebulaGraph (coming @memgraphdb and @awscloud Neptune) Vector: @qdrant_engine @elastic @OpenSearchProj @neo4j vector @milvusio, (coming @weaviate_io @trychroma , @Pinecone, @PostgreSQL + @pgvector , @lancedb ) @IBM docling doc processing Data Sources: using @llama_index readers: working: Web Pages, Wikipedia, Youtube, untested: Google Drive, Msft OneDrive, S3, Azure Blob, GCS, Box, SharePoint, previous: filesystem, @Alfresco, CMIS. LLMs: LlamaIndex LLMs (OpenAI, Ollama, Claude, Gemini, etc.) React, Vue, Angular UIs, MCP server, FastAPI server integratedsemantics.org

We're excited to announce the release of ArcadeDB v25.8.1! This version introduces a powerful new schema feature, enhances Kubernetes support, and resolves several important bugs to improve stability and performance. #graphdb #multimodel github.com/ArcadeData/arc…

We are excited to announce the general availability of ArcadeDB version 25.7.1! Check all the improvements on: github.com/ArcadeData/arc… #multimodel #graphdb