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Built for the production stack.

Dex explores and models the warehouses your data already lives in, and keeps your dbt project in sync as they change. Every scan is estimated with a dry-run and confirmed before it spends, then recorded in a local ledger.

Every connector

Warehouses and semantic layers. Each warehouse has a cost guard in its own billing unit. Search by name, cloud, or billing unit.

14 connectors

  • BigQuery

    Warehouse

    Google BigQuery data warehouse. Dex profiles your tables and authors dbt models directly against your BigQuery project.

    Cost guardBytes scanned
  • Snowflake

    Warehouse

    Snowflake data cloud. Dex explores schemas and authors dbt transformations with warehouse-aware cost guards.

    Cost guardCompute time
  • Databricks

    Warehouse

    Databricks lakehouse. Dex profiles Unity Catalog tables and authors dbt models with DBU-aware cost guards.

    Cost guardDBUs
  • Redshift

    Warehouse

    AWS Redshift data warehouse. Dex profiles your schemas and authors dbt models directly.

    Cost guardRPU-hour
  • ClickHouse

    Warehouse

    ClickHouse Cloud and self-hosted ClickHouse. Dex profiles your tables and authors dbt models, with every scan capped by max_execution_time and max_bytes_to_read.

    Cost guardCompute seconds
  • PostgreSQL

    Warehouse

    Connect to PostgreSQL for advanced analytics, geospatial data, and complex queries on structured data.

    Cost guardLoad limit
  • Trino

    Warehouse

    Self-hosted Trino, Starburst Enterprise, and Trino on Amazon EMR. Dex explores your catalogs, authors dbt models, and detects drift with cluster-load guards.

    Cost guardCluster-seconds
  • DuckDB

    Warehouse

    An in-process analytical database. Point Dex at a local DuckDB file with zero credentials required.

    Cost guardZero-credential on-ramp
  • dbt Semantic Layer

    Semantic layer

    The dbt semantic layer (MetricFlow), local or through dbt Cloud. Dex authors and maintains your entities, dimensions, measures, and metrics as reviewable diffs, validated against a dev target.

    Note
  • Apache Ossie

    Semantic layer

    Apache Ossie (incubating), the vendor-neutral standard for semantic metadata. Dex reads your .ossie.yaml documents natively and authors them as reviewable diffs, with or without a dbt project.

    Note
  • SLayer

    Semantic layer

    SLayer by Motley, a semantic layer kept as YAML model files. Dex reads your SLayer models natively, authors them as reviewable diffs, and runs the SQL SLayer renders under its own cost guard, with no dbt project needed.

    Note
  • Cube

    Semantic layer

    Cube, the semantic layer kept as YAML model files. dex reads your cubes and views natively, authors them as reviewable diffs, and runs the SQL Cube renders under its own cost guard, with no dbt project needed.

    Note
  • Snowflake Semantic Views, kept as YAML files in your repository. dex reads them with no Snowflake connection, authors them as reviewable diffs, and holds them to the warehouse when columns move. Nothing is deployed for you.

    Note
  • Databricks Unity Catalog Metric Views, kept as YAML files in your repository. dex reads them with no workspace connection, authors them as reviewable diffs, and holds them to the warehouse when columns move. Nothing is deployed for you.

    Note

Setting up a native semantic layer

Dex reads and authors six semantic-layer formats: the dbt semantic layer (MetricFlow), Apache Ossie, SLayer, Cube, Snowflake Semantic Views, and Databricks Metric Views. None of the native formats needs a dbt project, and each takes a few lines of setup.

Apache Ossie setup
  1. 1Install the extrapip install 'exmergo-dex-core[ossie]'
  2. 2Select the vendorsemantic.vendor: ossie # .dex/config.yml
  3. 3List your documentssemantic.ossie.files: [...]
SLayer setup
  1. 1Install the extrapip install 'exmergo-dex-core[slayer]'
  2. 2Select the vendorsemantic.vendor: slayer # .dex/config.yml
  3. 3Set the storage rootsemantic.slayer.base_dir: semantics/slayer
  4. 4List your modelssemantic.slayer.models: [models/<data_source>/<name>.yaml]
Cube setup
  1. 1Install the extrapip install 'exmergo-dex-core[cube]'
  2. 2Select the vendorsemantic.vendor: cube # .dex/config.yml
  3. 3List your model filessemantic.cube.files: [...]
Snowflake Semantic Views setup
  1. 1Install the extrapip install 'exmergo-dex-core[semantic-views]'
  2. 2Select the vendorsemantic.vendor: snowflake # .dex/config.yml
  3. 3List your view filessemantic.snowflake.files: [...]
Databricks Metric Views setup
  1. 1Install the extrapip install 'exmergo-dex-core[metric-views]'
  2. 2Select the vendorsemantic.vendor: databricks # .dex/config.yml
  3. 3List your view filessemantic.databricks.files: [...]

Frequently asked questions

Q01Which warehouses does Dex connect to?

Dex supports BigQuery, Snowflake, Databricks, Redshift, ClickHouse (Cloud and self-hosted), PostgreSQL, Trino, and DuckDB. Every connector has a cost guard in its own billing unit, and DuckDB is the zero-credential on-ramp: point Dex at a local file and nothing else is needed.

Q02Does Dex support Apache Ossie?

Yes, natively. Apache Ossie (incubating) is the vendor-neutral standard for exchanging semantic metadata, and Dex reads it as a first-class semantic layer. Install the extra with pip install 'exmergo-dex-core[ossie]', set semantic.vendor: ossie in .dex/config.yml, and list your .ossie.yaml, .ossie.yml, or .ossie.json documents under semantic.ossie.files.

Q03Does Dex support SLayer?

Yes, natively. SLayer by Motley keeps a semantic layer as YAML model files, and Dex reads it as a first-class semantic layer. Install the extra with pip install 'exmergo-dex-core[slayer]', set semantic.vendor: slayer in .dex/config.yml, point semantic.slayer.base_dir at SLayer's storage root, and list your model files under semantic.slayer.models. Dex validates every file with SLayer's own model class from one pinned release, authors models as reviewable diffs, and detects drift against them. For a governed query, SLayer renders the SQL as a dry run and Dex runs it under its own cost guard and PII gate, so SLayer never opens a warehouse connection.

Q04Does Dex support Cube, Snowflake Semantic Views, and Databricks Metric Views?

Yes, natively, each in its own format with no conversion. Cube cubes and views, Snowflake Semantic Views, and Databricks Metric Views are read from the YAML files in your repository: install exmergo-dex-core[cube], exmergo-dex-core[semantic-views], or exmergo-dex-core[metric-views], set semantic.vendor to cube, snowflake, or databricks in .dex/config.yml, and list the files under semantic.cube.files, semantic.snowflake.files, or semantic.databricks.files. Dex validates every file against its port of the vendor's rules, authors files as reviewable diffs, derives a cube, logical table, or Metric View from a declared dbt mart, and detects drift against the warehouse. It never deploys a Semantic View or Metric View for you. On Cube, a governed query is rendered by your Cube server and run by Dex under its own cost guard and PII gate.

Q05Do I need a dbt project to use Dex?

No. Dex reads Apache Ossie documents, SLayer and Cube model files, Snowflake Semantic Views, and Databricks Metric Views natively, so a repository with no dbt project and no MetricFlow anywhere in the path still gets a governed semantic layer: set semantic.vendor to ossie, slayer, cube, snowflake, or databricks in .dex/config.yml and Dex explores, authors, and drift-checks against those files. A repository that keeps dbt for its models and declares its semantics in one of those formats beside them gets both.

Q06Is the dbt Cloud Semantic Layer covered by the cost guard?

No. The dbt Cloud Semantic Layer backend is opt-in and off by default. Queries sent there run on dbt Cloud, under your dbt Cloud account's own limits, so it is the one path where Dex's cost guard cannot apply, and every result on that path says so.

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