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Version: 0.6 (Latest)

Compatibility

FastBCP Engine​

LakeXpress requires FastBCP 1.4.0 or later and is tested with 1.4.0, the version bundled in the package. See FastBCP version.

Supported Databases​

Database TypeAs SourceExtraction (default)As LakeXpress DB
SQL ServerSupportedADBC (adbc_mssql)Supported
PostgreSQLSupportedADBC (adbc_pgsql)Supported
OracleSupportedNative (ADBC with use_adbc: true)Not supported
MySQLSupportedNativeSupported
MariaDBSupportedNativeNot supported
SAP HANASupportedNativeNot supported
TeradataSupportedADBC (adbc_teradata)Not supported
SQLiteNot supportedSupported
DuckDBNot supportedSupported

ADBC extraction needs FastBCP 1.4.0 or later (bundled) on linux-x64 or win-x64. "use_adbc": false on a source selects the native driver, and "use_adbc": true selects ADBC for Oracle; see ADBC Extraction.

Supported Storage Backends​

Storage BackendSupport Status
Local FilesystemSupported
AWS S3Supported
S3-Compatible (OVH, MinIO, etc.)Supported
Google Cloud Storage (GCS)Supported
Azure Storage (ADLS Gen2, Blob)Supported
Microsoft Fabric OneLakeSupported

Supported Publishing Targets​

After export, LakeXpress can create tables in analytics platforms as external (data stays in cloud storage) or internal (data loaded into native storage).

Publishing TargetExternalInternal
SnowflakeSupportedSupported
DatabricksSupportedSupported
Microsoft FabricSupportedSupported
BigQuerySupportedSupported
MotherDuckSupportedSupported
Amazon RedshiftSupportedSupported
AWS GlueSupportedNot supported
DuckLakeSupportedNot supported

Set --publish_method external or --publish_method internal. Default is external, except for Fabric Lakehouse (internal).

Publishing guides
Setup, authentication and options for each platform
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