bigquery_fdw
firebird_fdw
| bigquery_fdw | firebird_fdw | |
|---|---|---|
| 2 | 2 | |
| 89 | 36 | |
| - | - | |
| 3.9 | 5.1 | |
| 3 months ago | 2 days ago | |
| Python | C | |
| MIT License | GNU General Public License v3.0 or later |
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bigquery_fdw
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Is using pandas considered terrible practice in ELT?
You can also take a look at this repo: https://github.com/gabfl/bigquery_fdw/blob/main/src/bqclient.py if not for the FDW, then at least to the python bit that reads data, though I'm not sure how well it goes through large datasets.
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Good way to pull data from BQ to PostgreSQL?
Give this a try and report back, https://github.com/gabfl/bigquery_fdw
firebird_fdw
What are some alternatives?
CueObserve - Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
tds_fdw - A PostgreSQL foreign data wrapper to connect to TDS databases (Sybase and Microsoft SQL Server)
ethereum-etl - Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
parquet_s3_fdw - ParquetS3 Foreign Data Wrapper for PostgresSQL
dopg_cli - 🐍🐳🐘 A python command line interface for DigitalOcean postgres clusters (5+ integrations).
pgrocks-fdw - Bring RocksDB to PostgreSQL as an extension. It is the first foreign data wrapper (FDW) that introduces LSM-tree into PostgreSQL. The underneath storage engine can be RocksDB. The FDW also serves for VidarDB engine, a versatile storage engine for various workloads. See the link for more info about VidarDB engine.
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
pg_auto_failover - Postgres extension and service for automated failover and high-availability
pgcli - Postgres CLI with autocompletion and syntax highlighting
orioledb - OrioleDB – building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems) 🇺🇦