FastBCPis a lightning-fast parallel database export CLI tool for modern data workflows.
FastBCP is a high-performance command-line tool designed to export large volumes of data from relational databases into analytics-ready file formats such as CSV, Parquet, JSON, XLSX, and BSON. It runs on both Windows and Linux and can write output to local filesystems or cloud object storage (AWS S3, Azure Blob/ADLS Gen2, Google Cloud Storage, OneLake).
Key Capabilities
Ultra-Fast Parallel Export: Uses advanced parallelism to fully leverage modern CPUs, dramatically outperforming traditional single-threaded tools (often 10×–30× faster).
Broad Database Support: Works with major databases (PostgreSQL, MySQL/MariaDB, Oracle, SQL Server, ClickHouse, SAP HANA, Teradata, and more) using native embedded drivers or ODBC.
Flexible Output: Export to multiple structured formats for analytics, reporting, or data lake ingestion.
Cloud & Local Targets: Write directly to cloud object stores (S3, S3 compatible, GCS, Azure, Onelake) or local directories.
Secure & Enterprise-Grade: Digitally signed binaries, obfuscated passwords in logs, and comprehensive logging/audit trails.
Low Memory Footprint: Streams data efficiently to keep resource usage stable even on very large exports.
Typical Use Cases :
- Accelerating data exports for ETL/ELT workflows.
- Moving analytics data into data lakes or cloud storage.
- Replacing legacy export tools with a modern, parallel solution.
Why Customers Choose FastBCP :
FastBCP simplifies high-volume exports by combining command-line simplicity with parallel execution, enabling organisations to export large datasets without complex scripting or orchestration. It’s designed for data engineers and DBAs who need speed, reliability, and flexible output targets in heterogeneous environments.
Seller
Architecture & PerformanceDiscussions
FastBCP CommunityLanguages Supported
English, French
Overview by
Romain Ferraton (CEO and Founder @ Architecture & Performance | Performance Tuning, Business Intelligence and Databases addict | Arpe.io Lead Dev)