Pick one of our high quality destinations and load your data to a local database, warehouse or a 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 goes through few hundred automated tests every day.
- 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 Talk to an engineer
Otherwise pick a destination below:
📄️ Google BigQuery
Google BigQuery `dlt` destination
DuckDB `dlt` destination
📄️ Microsoft SQL Server
Microsoft SQL Server `dlt` destination
📄️ Filesystem & buckets
Filesystem destination stores data in remote file systems and bucket storages like S3, google storage or azure blob storage. Underneath it uses fsspec to abstract file operations. Its primary role is to be used as a staging for other destinations but you can also quickly build a data lake with it.
Postgres `dlt` destination
📄️ Amazon Redshift
Amazon Redshift `dlt` destination
Snowflake `dlt` destination
📄️ AWS Athena / Glue Catalog
AWS Athena `dlt` destination
📄️ 🧪 MotherDuck
MotherDuck `dlt` destination
Weaviate is an open source vector database that can be used as a destination in dlt.
Qdrant is a high-performance vector search engine/database that can be used as a destination in dlt.