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Destinations

Pick one of our high-quality destinations and load your data into a local database, warehouse, or data lake. Append, replace, or merge your data. Apply performance hints like partitions, clusters, or indexes. Load directly or via staging. Each of our destinations undergoes several hundred automated tests every day.

Is a destination or feature missing? Join our Slack community and ask for it.
Need more info? Join our Slack community and ask in the tech help channel or book a call with our support engineer Violetta.

Otherwise, pick a destination below:

📄️ Google BigQuery

Google BigQuery `dlt` destination

📄️ Databricks

Databricks `dlt` destination

📄️ DuckDB

DuckDB `dlt` destination

📄️ Microsoft SQL Server

Microsoft SQL Server `dlt` destination

📄️ Azure Synapse

Azure Synapse `dlt` destination

📄️ Filesystem & buckets

Filesystem destination stores data in remote file systems and bucket storages like S3, google storage or azure blob storage.

📄️ Postgres

Postgres `dlt` destination

📄️ Amazon Redshift

Amazon Redshift `dlt` destination

📄️ Snowflake

Snowflake `dlt` destination

📄️ AWS Athena / Glue Catalog

AWS Athena `dlt` destination

📄️ Weaviate

Weaviate is an open source vector database that can be used as a destination in dlt.

📄️ Qdrant

Qdrant is a high-performance vector search engine/database that can be used as a destination in dlt.

📄️ Custom destination

Custom `dlt` destination function for reverse ETL

📄️ 🧪 MotherDuck

MotherDuck `dlt` destination

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.

The demo uses the Continue VSCode extension.

Off to codespaces!

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