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No-code automated data pipeline for centralizing fragmented business data.
Automates the collection of data from 150+ SaaS applications, databases, and file storage systems using pre-built, battle-tested connectors. Provides a no-code ELT (Extract-Load-Transform) interface that allows teams to clean and prepare data via drag-and-drop or Python-based transformations. Offers near real-time data synchronization using micro-batching and Change Data Capture (CDC) to keep analytics ready at all times. Features auto-schema mapping to automatically detect and adapt to changes in source data structures, preventing broken pipelines. Includes reverse ETL capabilities (Hevo Activate) to push actionable insights from data warehouses back into operational SaaS tools.
Automated schema mapping and no-code connectors eliminate manual engineering overhead, allowing teams to set up complex pipelines in just a few clicks. Micro-batching and CDC enable near real-time data replication, ensuring that business users always have access to fresh, actionable insights. Flexible in-flight transformation capabilities allow for data cleaning and formatting before it lands in the warehouse, improving data quality. Scalable infrastructure automatically handles data growth and spikes in throughput, requiring no manual capacity planning or maintenance from the user. Unified observability and alerting tools keep data teams informed of any pipeline issues, drastically reducing downtime and data quality incidents.
Category: Business & Operations
Team Size: 100+
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