Stitch provides simple, automated data pipeline creation that enables businesses to quickly move data from multiple sources into data warehouses without requiring extensive engineering resources or custom code.
Last updated Mar 7, 2026 by AI Enrichment
- Industry
- Data Integration/ETL
- Business Model
- SaaS
- Target Market
- SMB, Mid-Market
- Employee Count
- 11-50
- Funding
- $8.6M
- Parent Company
- Qlik
- API Available
- Yes
Market Position
Developer-friendly ETL platform within the broader data integration market, now part of Qlik's product portfolio
Overview
Stitch Data was a cloud-based ETL (Extract, Transform, Load) platform that enabled businesses to consolidate data from multiple sources into data warehouses for analysis. Founded in 2016, the company provided a simple, developer-focused solution for data integration, allowing organizations to replicate data from SaaS applications, databases, and other sources into destinations like Amazon Redshift, Google BigQuery, and Snowflake. While not strictly an AdTech company, Stitch served many marketing and advertising technology companies by helping them centralize their data for analytics and reporting. In November 2018, Stitch Data was acquired by Talend, a data integration and data integrity company. Following the acquisition, Stitch continued to operate as a distinct product within Talend's portfolio, maintaining its brand identity and self-service approach to data integration. The platform remained focused on providing simple, automated data pipelines for businesses that needed to move data quickly without extensive engineering resources. In 2024, Talend itself was acquired by Qlik, and the Stitch product continues to be offered as part of Qlik's broader data integration suite. The platform still serves customers who need straightforward ETL capabilities, though it now operates within the larger Qlik ecosystem alongside other data integration and analytics tools.
Products & Features
Stitch Data Pipeline
Core ETL platform that extracts data from various sources and loads it into data warehouses with automated schema management
Pre-built Integrations
Library of over 130 pre-built connectors for SaaS applications, databases, and data sources
Singer Taps
Open-source framework for building data extraction scripts that can be shared across the community
Key Features
Automated data replicationPre-built connectors for 130+ data sourcesSelf-service setup and configurationAutomatic schema detection and managementReal-time and batch data synchronizationOpen-source Singer framework supportMonitoring and alerting capabilities
Use Cases
Centralizing marketing data from multiple advertising platformsConsolidating SaaS application data for business intelligenceCreating unified customer data repositoriesEnabling data-driven decision making across organizationsBuilding data warehouses without custom ETL developmentReplicating database data for analytics purposes
Customer Segments
Marketing and advertising agenciesE-commerce companiesSaaS businessesData analysts and business intelligence teamsSmall to mid-sized enterprisesStartups and growth-stage companies