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Ingestr

Open SourceFunded

Command-line data ingestion from any source to any destination, no code needed

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About Ingestr

Ingestr is an open-source command-line application designed to simplify data ingestion by enabling seamless data transfer from a wide variety of sources to numerous destinations without requiring any coding. It supports incremental loading methods such as append, merge, and delete+insert, making it suitable for enterprises that need efficient and reliable data integration workflows. The tool abstracts the complexity of backend management, allowing data teams to focus on analytics rather than data pipeline maintenance.

Targeted at enterprises with diverse data ecosystems, Ingestr supports integration with numerous databases, cloud platforms, and SaaS applications, including AWS Athena, Google BigQuery, Snowflake, Kafka, Salesforce, and many others. Its extensible architecture and extensive source/destination support make it a versatile solution for organizations seeking a flexible, no-code ETL/ELT tool. The product is particularly valuable for CIOs looking to streamline data operations, reduce engineering overhead, and accelerate data availability across the enterprise.

Key Capabilities

  • No-code command-line data ingestion
  • Incremental loading with append, merge, delete+insert
  • Supports wide range of databases and cloud platforms
  • Extensive SaaS and application integrations
  • Single-command installation and easy setup

Integrations

AWS AthenaGoogle BigQuerySnowflake

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .

Quick Facts

bruin-data.github.io/ingestr
CategoryData & Analytics
SubcategoryData Integration & ETL
PricingOpen Source
DeploymentOpen Source
Target SizeEnterprise