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Hevo Data

Hevo Data provides an automated data pipeline platform that integrates data from over 150 sources in near real-time, enabling users to prepare and load analytics-ready data with minimal maintenance. The platform ensures 100% data accuracy and 99.9% uptime, addressing the challenges of data management and operational inefficiencies for modern data teams.

San Francisco, United StatesFounded 201723150K+ followers
Updated 20 months ago

Funding

$48.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Modern data teams face challenges in managing and integrating data from a growing number of disparate sources, leading to operational inefficiencies and delays in accessing analytics-ready data. Maintaining data accuracy and ensuring system uptime are also significant concerns, requiring substantial engineering effort.

Solution

Hevo Data provides a no-code, automated data pipeline platform that simplifies the process of extracting, loading, and transforming (ELT) data from over 150 sources into data warehouses. The platform's intuitive user interface allows users to integrate data in near real-time, prepare it for analysis with built-in models and workflows, and automate data operations with minimal maintenance. Hevo's fault-tolerant architecture ensures 100% data accuracy, 99.9% uptime, and timely system alerts, enabling data teams to scale their operations with confidence. The platform also prioritizes data security with end-to-end encryption and compliance with HIPAA, SOC 2, and GDPR standards.

Target Audience

Hevo Data targets data engineers, analysts, scientists, and business users who need a reliable and scalable data integration solution to derive insights from diverse data sources.

Features

  • Pre-built integrations with 150+ data sources, including SaaS applications and databases
  • Near real-time data loading into data warehouses
  • Automated schema mapping and change data capture (CDC)
  • Data transformation capabilities with data models and workflows
  • End-to-end data encryption and secure connection options (SSH, Reverse SSH, VPN)
  • Compliance with HIPAA, SOC 2, and GDPR
  • 24x7 support
  • Real-time monitoring and alerting
This profile is AI-generated and may contain inaccuracies.