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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
Sage Intacct connector details
The Sage Intacct capture connector continuously ingests accounting, finance, and operational data from Sage Intacct into Estuary Flow collections, providing a live and unified data foundation for real-time analytics and reporting.
- Enterprise-grade integration: Capture customers, vendors, GL accounts, employees, transactions, and more from your Sage Intacct environment
- Incremental sync support: Efficiently captures new and updated records for most objects, including CUSTOMER, GLJOURNAL, and PROJECT
- Automatic snapshotting: Objects like COMPANYPREF are synced using periodic snapshots for complete visibility
- Secure authentication: Connect using Sage Intacct’s Web Services API with authorized Sender ID, credentials, and company access
- Highly configurable: Supports flexible scheduling intervals and optional inclusion of company metadata fields
💡 Tip: Enable incremental sync for high-velocity tables such as GLACCOUNT or VENDOR to optimize API performance and reduce load times.
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 Sage Intacct 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 Sage Intacct insights always reflect the latest data by connecting your databases to Sage Intacct with change data capture.
- Or connect critical SaaS apps to Sage Intacct 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 |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
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