DataModal Spider Platform

Connect — Onboard relational, NoSQL, streaming, object store and API sources through one connection model, covering PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery, Databricks, MongoDB, Cassandra, Kafka, S3, Azure Blob, Elasticsearch and vector stores across more than 27 connector types. Credentials are never stored as plain text: they resolve at runtime from HashiCorp Vault, Infisical, AWS Secrets Manager, mounted files or environment variables.

Discover — Run automated inventory and column level profiling, apply data quality rules and scoring, and generate a business glossary. Results are persisted to a knowledge graph so lineage and meaning stay queryable rather than trapped in reports.

Model — Map your sources onto canonical industry models spanning wealth management, private equity, asset management, hedge funds, higher education and telecommunications, then measure conformance against those standards and publish a data trust scorecard.

Serve — Compose data components and views that execute against your live sources, and expose them over HTTP, a command line, or the Model Context Protocol. Applications and AI agents consume governed, described views instead of raw tables.

Govern — Role based access control, single sign on through OIDC or SAML, a complete audit trail, and human approval gates on agent actions. A governed tool registry tracks every exposed capability, its health, and the minimum role required to call it.

Operate — The appliance ships with its own PostgreSQL, Redis, Neo4j and object storage. On first boot it generates every per instance secret, provisions its databases, detects its own hostname and starts the platform. There is no dependency on any DataModal hosted service and the deployment does not phone home.