ELT & data integration · Hevo Data, Inc.

Hevo Data

No-code, fully managed ELT platform billed by monthly event volume, with 150+ connectors and near real-time sync.

Hevo is a SaaS ELT platform aimed at teams that want pipelines running quickly without engineering a custom stack. Connections are configured through a no-code interface, and Hevo handles schema mapping, incremental loading and near real-time or scheduled syncing from databases, SaaS applications and event streams into a destination warehouse. Transformations can be done via a Python-based interface or downstream through dbt. Unlike Fivetran's Monthly Active Rows model, Hevo prices by events processed (each insert, update or delete counted once), with published monthly bands rather than a pure metered rate, which makes cost easier to estimate upfront. It is cloud-only, with no self-hosted deployment option, and is positioned as a simpler, faster-to-configure alternative for small-to-midsize data teams.

At a glance

Vendor Hevo Data, Inc.
Pricing model Usage-based
Free tier Yes
Deployment Cloud
Open source No
Best for Small-to-midsize data teams wanting fast no-code setup with predictable, event-volume-based pricing.

Pricing

Priced by monthly events processed, with a free tier and three named plans scaling from 5M to 100M+ events, plus custom Business Critical pricing.

Plan Price Notes
Free $0/month Up to 1M events/month, 1-hour scheduling, up to 5 users
Starter $265–$299/month 5M–50M events/month options, 150+ connectors, dbt integration, up to 10 users; annual discount available
Professional $750–$849/month 20M–100M events/month options, unlimited users, Hevo APIs for pipeline automation
Business Critical Contact sales Streaming pipelines, RBAC, SSO, multiple workspaces, VPC peering

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • No-code pipeline configuration
  • 150+ prebuilt connectors
  • Near real-time and scheduled sync
  • Automated schema mapping and drift handling
  • Python-based in-flight transformations
  • dbt integration for post-load modeling
  • Pipeline monitoring and alerting

Integrations

Profile last reviewed September 21, 2026

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