neocarta alternatives

Curated alternatives to neocarta — and why you'd switch.

Self-improving context layer for data agents — ingests dbt/Looker/wikis, maps your warehouse, builds a semantic layer with approved metrics, and serves Claude Code/Codex via CLI and MCP.

Why switchSame job — a context layer so data agents stop guessing at your warehouse. KTX ingests dbt/Looker/wikis, builds a semantic layer with approved metrics and self-improves, serving coding CLIs directly. Neocarta materializes the layer as a Neo4j graph with hybrid search and FK-aware retrieval, and is a library you assemble rather than a running service.

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OpenMetadata

Open metadata platform turned AI context layer: 130+ connectors feed a unified knowledge graph of lineage, quality, ownership, glossaries and contracts — served to agents via MCP and APIs.

Why switchOpenMetadata does the catalog-as-agent-context move at platform scale: 130+ connectors, lineage, ownership, quality and contracts in one graph served over MCP. Neocarta is a small focused library for the query-routing and Text2SQL slice — much less to run, much less covered.

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ontobricks

Turns Databricks Unity Catalog tables into a materialized knowledge graph: OWL ontology design, R2RML mapping, OWL 2 RL/SWRL/SHACL reasoning, auto-generated GraphQL — exposed to agents over MCP.

Why switchThe same catalog → knowledge graph → MCP pipeline aimed at Databricks Unity Catalog, with OWL ontology design, R2RML mapping and OWL 2 RL/SHACL reasoning. Choose by stack and by taste: formal ontology and reasoning versus Neo4j property graph and hybrid search.

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context-ontology-accelerator

AWS's ontology-based context layer: scan your sources, induce ontologies, then serve validated context to agents over MCP — SPARQL federation, a virtual knowledge graph and OWL reasoning.

Why switchAWS's take: induce ontologies from your sources and serve validated context to agents over MCP with SPARQL federation and OWL reasoning. Neocarta skips the ontology layer and grounds agents in observed schema, FKs and real query history instead.

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