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REAL-TIME ETL & CDC

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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
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01. Move from Dropbox02. Transform in-flight03. Select a destination
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Dropbox connector details

The Dropbox connector captures data from a specified Dropbox folder into Estuary collections, enabling automated ingestion of structured and semi-structured files for analysis and downstream use.

  • Folder-based ingestion: Continuously reads and captures files from a designated Dropbox folder into Flow, keeping data pipelines updated as new files are added.
  • Multi-format support: Automatically detects and parses multiple file types, including Avro, CSV, JSON, Protobuf, and W3C Extended Log formats.
  • Automatic compression handling: Supports ZIP, GZIP, and ZSTD compression with optional manual override for custom configurations.
  • Custom parsing control: Advanced users can explicitly define parsing rules such as delimiter type, headers, compression, and encoding for CSV or other formats.
  • Efficient incremental sync: The optional Ascending Keys mode improves performance by reading only new files added since the last sync, based on lexicographic key order.
  • Secure authentication: Uses OAuth2 for account access, automatically managed within the Flow web app.

💡 Tip: For the fastest incremental syncs, enable Ascending Keys only if your Dropbox data is organized with timestamped or sequentially ordered filenames.

For more details about the Dropbox connector, check out the documentation page.

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HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes from Dropbox 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 Dropbox insights always reflect the latest data by connecting your databases to Dropbox with change data capture.
  • Or connect critical SaaS apps to Dropbox with real-time data pipelines.
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Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKAFKA
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
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