CIOPages
DirectoryData & AnalyticsData Integration & ETLSling

Sling

Open SourceFunded

Open source platform for seamless data integration and quality checks

Visit Website

About Sling

Sling is an open source data integration platform designed to simplify ELT (Extract, Load, Transform) operations and ensure data quality across diverse data sources. It enables enterprises to efficiently replicate, transform, and monitor data from databases, files, cloud storage, and APIs with minimal configuration. The platform’s core engine, written in Go, uses a streaming architecture to optimize performance and memory usage, making it suitable for handling large datasets and complex workflows.

Targeted at enterprise data teams and CIOs, Sling supports a wide range of use cases including database replication, file-to-database loading, cloud storage synchronization, and API data extraction. It offers flexible load modes, transformation capabilities, and automated quality checks with alerting to maintain data integrity. Its YAML-based configuration and CLI tool provide a programmable and scalable approach to managing data pipelines, while integrations with popular databases, cloud storage providers, and APIs enable seamless connectivity across the enterprise data ecosystem.

Key Capabilities

  • Efficient ELT operations with streaming architecture
  • Automated data quality checks and monitoring
  • Support for multiple load modes including incremental and full-refresh
  • Extensive connectors for databases, cloud storage, and APIs
  • Configurable pipelines with hooks and parallel processing

Integrations

PostgreSQLSnowflakeAWS S3

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date.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

slingdata.io
CategoryData & Analytics
SubcategoryData Integration & ETL
PricingOpen Source
DeploymentOpen Source
Target SizeEnterprise