Strattum Data Foundation Connect your existing data lake (Databricks, Snowflake, BigQuery) or let Strattum deliver a complete foundation within your cloud. Integrated and governed ingestion, storage, and transformation from Day 1.
Strattum adapts to your enterprise data maturity: it connects what already exists and delivers what is missing, with no migration and no 18-month wait for AI-ready context.
Strattum connects directly to your existing Databricks, Snowflake, BigQuery, or Redshift. No migration, no duplication, no rewriting pipelines that already run.
Strattum delivers the complete foundation (Delta Lake in your cloud, connectors, transformations, governance) ready to feed Memory Graph and agents from Day 1.
Models need structured, governed, and continuously updated context. Data Foundation is the layer that makes this possible, whether you already have a data lake or are starting from scratch.
Databricks, Snowflake, BigQuery, or Delta Lake. Strattum connects without replacing your investments.
No existing lake? Strattum delivers a complete Delta Lake-based foundation within your cloud, within weeks.
Lineage, catalog, access policies, and audit trail applied from the first connector.
Incremental ingestion with change detection, delivering fresh data in minutes.
The three layers share permissions, lineage, and audit trail, and ship together.
+50 native connectors for CRM, ERP, help desk, databases, and document repositories, including TOTVS, SAP, Salesforce, Zendesk, and ServiceNow. Automatic schema evolution, native CDC where the source allows, exponential retry with observability. Credentials isolated in vault, never touch logs.
We connect directly to existing Databricks, Snowflake, BigQuery, and Redshift. Or we deliver Delta Lake in your cloud (AWS, Azure, GCP, OCI) with typing, partitioning, time travel, and ACID, all configured and ready for production. Metadata in Postgres, ownership tagging, quality SLAs per table.
Model data in SQL or dbt-core. Versioned in Git, with automatic column-level lineage, pre-merge quality checks, isolated dev/staging/prod environments. Each transformation inherits permissions and is logged, with RBAC + ABAC applied at execution. Compatible with existing dbt projects.
Salesforce, HubSpot, TOTVS, Zendesk, PostgreSQL, SQL Server, and more. Custom connectors in days with the FDE.
Deploy a managed Delta Lake or connect to Databricks, Snowflake, or BigQuery. No forced migration.
Governed transformations versioned in Git. dbt-compatible. Lineage tracked end-to-end.
Metadata, lineage, and column classification generated automatically from ingestion.
Runs within your cloud. Anonymization and DPA ready on Day 1. No data transits to Strattum.
Pipeline health, freshness per source, data quality checks. Dashboards out of the box.
CRM, core banking, payment gateway, and help desk unified in a single governed layer. Memory Graph consumes the foundation and resolves entities automatically.
TOTVS, ERP, MES, and IoT sensors ingested and transformed into a structure the agent understands. No manual report, no batch export.
Every data point that feeds an agent decision has documented origin, version, and transformation, so an audit becomes a query.
Foundation feeds entity resolution. Memory Graph transforms structured data into a navigable knowledge graph.
Explore Memory Graph →
Documents and structured data from Foundation feed the knowledge layer's hybrid retrieval.
Explore Knowledge →
Lineage and catalog from Foundation underpin audit and data governance policies.
Explore Governance →In a guided session with the FDE, we map which sources are mature in your environment and define a phased plan. Day 1 does not require migrating everything.
