Stitch Data is a cloud-first, open-source ELT service that enables data teams to rapidly consolidate data from over 130 SaaS applications and databases into a designated data warehouse for analysis.
Stitch is a cloud-based ELT (Extract, Load, Transform) platform designed to simplify data integration for analysts and engineers. It automates the process of pulling data from numerous sources and loading it into a central data warehouse like Snowflake, BigQuery, or Redshift. The platform serves businesses that need to consolidate disparate data for BI and analytics without building and maintaining custom pipelines. Its primary value proposition lies in its simplicity, extensive library of pre-built source integrations, and adherence to the flexible ELT model. By loading raw data first, Stitch allows teams to use the power of their data warehouse for transformations, providing more agility than traditional ETL tools.
Data analysts, data engineers, and business intelligence teams at small to mid-sized companies seeking a simple, automated way to centralize data from multiple cloud applications and databases.
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2016
Philadelphia, USA
Free
Post-trial plan. Includes up to 500,000 rows/month, 1 user, and limited data sources.
Free
Standard
Includes up to 5 million rows/month, unlimited users, access to 100+ standard sources, and online support. Overage is priced per million rows.
$100/mo
Advanced
Includes up to 100 million rows/month. Adds advanced features like SSH tunneling and higher API rate limits.
$1,250/mo
Premium
Includes up to 1 billion rows/month. Adds enterprise features like HIPAA support and top-tier customer support.
$2,500/mo
Choose Fivetran for its broader library of fully managed enterprise-grade connectors and consumption-based pricing, if cost is less of a concern.
Consider Airbyte if you prefer an open-source solution with a massive connector marketplace and the flexibility of self-hosting or a managed cloud service.
Hevo Data is a strong alternative if you need light transformation capabilities within the pipeline itself, as it supports both ETL and ELT workflows.
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