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Brief
Blendo was acquired by RudderStack (2020).
Blendo

Blendo

Data Integrationblendo.co

Blendo provided automated, no-code data pipeline creation to help businesses sync their application data into data warehouses for analytics and reporting without engineering resources.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2015
HQ
San Francisco, California, United States
Connections
11

At a glance

Employees
1-10
Funding
acquired
Revenue
$1M-$10M
Stock
Unknown
8integrations1corporate family

About

Small player in the data integration space serving marketing and analytics teams

Blendo was a data integration and ETL (Extract, Transform, Load) platform founded to help companies consolidate their data from multiple sources into centralized data warehouses. The platform specialized in automating data pipelines, allowing businesses to sync data from various applications, databases, and services into warehouses like Amazon Redshift, PostgreSQL, and others without requiring extensive technical expertise. While not strictly an AdTech company, Blendo served marketing and advertising teams by enabling them to centralize campaign data, customer information, and analytics from multiple marketing platforms for better reporting and insights. Blendo was acquired by RudderStack in 2021, and the Blendo brand and product were subsequently discontinued as a standalone offering. RudderStack, a customer data platform (CDP) and data pipeline solution, integrated some of Blendo's capabilities into its own platform while transitioning Blendo customers to RudderStack's infrastructure. The acquisition allowed RudderStack to expand its data integration capabilities and customer base in the growing customer data infrastructure market. Following the acquisition, the Blendo website and services ceased independent operations, with existing customers migrated to RudderStack's platform. The company's legacy lives on through its contribution to RudderStack's enhanced data pipeline and warehouse sync capabilities, particularly in serving marketing and analytics use cases.

Business model

SaaS

Target market

SMB, Mid-Market

What they offer

  • Data Pipeline Automation

    Automated ETL processes to sync data from various sources to data warehouses

  • Pre-built Connectors

    Ready-to-use integrations for popular SaaS applications and databases

  • Data Warehouse Sync

    Direct integration with Amazon Redshift, PostgreSQL, and other data warehouses

Key features

No-code data pipeline setupAutomated schema detection and mappingReal-time and scheduled data syncingPre-built connectors for marketing and analytics toolsData transformation capabilities

Use cases

Centralizing marketing campaign data for cross-channel reportingSyncing customer data from CRM and marketing platforms to data warehousesBuilding unified analytics dashboards from multiple data sourcesAutomating data flows for business intelligence tools

Customer segments

Marketing teamsData analystsSmall to medium-sized businessesE-commerce companiesSaaS companies

Tech & specs

Technology stack

Cloud infrastructureETL processing enginesAPI integrations

Deployment

Cloud

API

Yes

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