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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Airbyte
Airbyte

Airbyte

Founded by Michel Tricot in 2020

Replicate and sync data across hundreds of sources to warehouses and databases

Pricing model

Free Trial

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Airbyte to move data from databases, applications, and APIs into storage repositories such as data warehouses, data lakes, or vector databases. It provides pre-built connectors that handle schema changes and sync records on automated schedules. You can run sync jobs either in your own infrastructure to maintain data control or through managed cloud options. It also formats structured and unstructured data for retrieval systems and autonomous agents, allowing external tools to read from or write back to your operational applications.

What Airbyte does

Configure data synchronization schedules between sources and destinationsExtract records from third-party APIs into local warehousesMonitor pipeline runs and diagnose failing data transfersResolve schema drift issues automatically during sync cyclesPerform semantic search across indexed enterprise dataDeploy data connectors securely within private virtual networksTrigger external actions in tools like Slack or SalesforcePre-built connectors to extract records from over 700 third-party sourcesHybrid deployment keeping data processing inside private environmentsAutomated adaptation to unexpected schema changes in source dataContext store providing entity resolution and semantic searchSupport for sinking data into vector stores and traditional warehousesBidirectional connectors enabling read and write operations for automated workflowsOpen-source codebase with option to build custom connectors

Pricing breakdown

Pricing model: Free trial

PlanList price
Standard$20 / mo
Plus$189 / mo

Frequently asked

SalesforceSalesforceZendeskZendeskSlackSlack

Used by

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gug lol

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Kushal

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Lorenzo Rosa

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romeo

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Sanika Pandit

Sanika Pandit

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Vedant Mistari

Vedant Mistari

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Airbyte, data integration, ELT pipeline, data movement, open source connectors, vector database sync, data lake ingestion, warehouse sync, schema management, hybrid deployment, semantic search, data replication, database connectors, ETL, context store, API connectors