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Capture data from Ada and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
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Ada connector details
The Estuary Ada connector captures data from Ada into real-time collections. It enables continuous ingestion of customer support and knowledge base data, making it easier to analyze conversations, content, and engagement across systems.
Each supported Ada resource is captured as a separate collection, with configurable sync intervals to control data freshness. The connector authenticates using an Ada API key and respects Ada’s data retention limits, capturing up to the most recent 12 months of data.
- Ingests Ada data into real-time collections for analytics and reporting
- Supports core resources including articles, conversations, and messages
- Separate collections per resource for clean data modeling
- Configurable sync intervals for controlled data freshness
- Secure API key authentication with scoped access
How to connect Ada to your destination in 3 easy steps
- 1
Connect Ada as your data source
Securely connect Ada and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Learn more
Dive deeper into Ada with this quick video from our YouTube channel.
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All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Ada using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Ada to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Ada data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Ada data:
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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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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