Hevo Data vs Fivetran
Side-by-side comparison of AI visibility scores, market position, and capabilities
No-code data pipeline and real-time ELT platform; San Francisco/Bengaluru; raised $42M+ from Sequoia India; supports 150+ data sources;
About
Hevo Data is a no-code data pipeline and real-time ELT platform founded in 2017 and headquartered in San Francisco, California, with core engineering in Bengaluru, India. The company was founded by Manish Jethani and Sourabh Agarwal to provide a simpler alternative to complex, code-heavy data pipeline tools for data teams that do not have dedicated data engineering resources. Hevo's platform enables analysts and non-engineers to connect data sources, define transformations using a visual interface or Python, and load data into cloud data warehouses without writing connector code or managing pipeline infrastructure.\n\nHevo raised $42 million in funding from investors including Sequoia Capital India, Qualgro, and Unusual Ventures. The platform supports more than 150 data sources including databases, SaaS applications, advertising platforms, payment processors, and custom webhooks. Its real-time data pipeline engine processes and delivers data with sub-minute latency for streaming sources, making it suitable for analytics use cases that require near-real-time freshness. Hevo's automatic schema management handles changes in source schemas without pipeline failures, addressing one of the most common maintenance burdens for data teams.\n\nHevo positions itself as a cost-effective alternative to Fivetran and Stitch for mid-market companies and growing data teams that need broader connector coverage at lower price points. The platform's transformation capabilities include a visual mapping interface for simple field transformations, a Python transformer for complex data manipulation, and dbt integration for warehouse-native transformations. Hevo is particularly popular in the Asia-Pacific market and among companies with significant SaaS-to-warehouse integration needs.
Fully managed data pipeline platform with 500+ connectors and $5.6B valuation; automated ELT into Snowflake and BigQuery eliminating custom pipeline maintenance for data teams.
About
Fivetran is a fully managed data integration and pipeline platform that automates the extraction, loading, and transformation (ELT) of data from hundreds of business applications, databases, and APIs into cloud data warehouses like Snowflake, BigQuery, and Databricks. Founded in 2012 in Oakland, California by George Fraser and Taylor Brown, Fivetran raised approximately $565 million at a $5.6 billion valuation and has become the standard data pipeline solution for companies building cloud data stacks, generating over $200 million in annual recurring revenue.
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