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Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT
CSV's in Google Drive connector details
The Google Drive connector captures data from your Google Drive account into Estuary collections, enabling seamless ingestion of CSV files from shared or private folders. It’s ideal for automating analytics pipelines that rely on file-based data sources.
- File-based ingestion: Captures .csv files from specific Google Drive folders
- Simple setup: Authenticate securely using a Google credentials JSON file
- Flexible configuration: Specify target file paths and IDs directly within Flow
- Use cases: Automate ingestion for reports, exports, and shared data files
- Secure deployment: Compatible with Estuary’s Private and BYOC environments for data compliance
💡 Tip: Use this connector to sync regularly updated CSV reports from Google Drive into BigQuery or Snowflake for automated analytics refreshes.
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from CSV's in Google Drive in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your CSV's in Google Drive insights always reflect the latest data by connecting your databases to CSV's in Google Drive with change data capture.
- Or connect critical SaaS apps to CSV's in Google Drive with real-time data pipelines.
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
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