Hevo's fully managed ELT platform moves data from all your business systems to your data warehouse—with the security, accuracy, and compliance finance operations demand.
Unify transaction and customer data from 150+ sources in near real time. Normalize data on the fly and stream updates to analytics or ML tools for low-latency fraud detection.
Break silos by consolidating data from CRM, billing, support, and other tools. Build complete customer profiles for segmentation, personalization, and analytics.
Hevo keeps your data audit and compliance ready. Standardize formats, add traceable metadata, and automate refreshes without repeated manual effort.
Combine historical and live data from trading, market, credit, and ops systems. Feed continuously updated datasets into analytics to detect emerging risks.
Make use of pre-built connectors to sync data from core banking systems, and payment processors with no coding required. Automatic schema mapping handles complex financial data structures while supporting both batch and streaming replication.
Protect sensitive financial data with end-to-end encryption, field-level security, and comprehensive audit logging. Built to meet the strictest standards including SOC2 Type II, GDPR, DORA, and CPRA with role-based access controls for regulatory peace of mind.
Process millions of financial records effortlessly with robust, auto-scaling data pipelines. Achieve near real-time replication for time-sensitive analytics with a zero-maintenance architecture that eliminates operational overhead.
Hevo provides exceptional personal support, granular schema control, and a broad range of connectors, making it easy for us to confidently recommend the platform.
We needed highly reliable, high performance pipelines. After facing bugs, limited support, and high costs with Fivetran, we switched to Hevo for dependable, scalable data movement.
Completeness and accuracy improved with Hevo, minimizing missed ingestion updates and giving us confidence to make informed decisions using a complete view of data.