Hevo Data
No-code data pipeline platform for automated ELT and ETL
About Hevo Data
Hevo Data is an end-to-end, no-code data pipeline platform that syncs data from 150+ sources into data warehouses in near real-time. It automates data ingestion, transformation, and loading without requiring engineering resources, making analytics-ready data accessible to every team.
Pros & Cons
Pros
- Extremely easy to set up with a no-code interface that makes pipeline creation accessible to non-engineers
- Excellent and responsive customer support with real engineers available 24/7
- Significantly more cost-effective than Fivetran for equivalent workloads
- Self-healing schema management reduces pipeline maintenance burden
- Generous free tier with 1M events/month, no credit card required
- Wide library of 150+ pre-built connectors covering most common data sources
Cons
- Pricing increases steeply with higher event volumes at scale
- Limited debugging and logging visibility for complex pipeline troubleshooting
- No built-in data quality validation rules compared to tools like Databricks
- Connectors can consume event quota on unwanted data, burning through limits quickly
Key Features
150+ Pre-Built Connectors
Ready-to-use integrations for databases, SaaS apps, file systems, and REST APIs with automatic setup and schema handling.
Change Data Capture (CDC)
Log-based CDC for accurate, near real-time replication with zero data loss using database transaction logs.
No-Code Pipeline Builder
Visual interface for building data pipelines in minutes without writing code, accessible to non-engineers.
Data Transformations
Transform data in-pipeline using dbt models, SQL, or Hevo's built-in Transformer jobs within fault-tolerant pipelines.
Self-Healing Schema Management
Automatically detects schema drift and updates destination mappings without manual intervention or pipeline breaks.
Reliability Engine
Isolated pipelines with automatic retries and fail-safes for high availability that prevents downtime.
Real-Time Observability
Always-on monitoring of latency, throughput, and activity logs with actionable alert notifications.
Multi-Destination Loading
Load data to Snowflake, BigQuery, Redshift, Databricks, and other major warehouses with consistent performance.
Enterprise Security
SSH/SSL encryption, RBAC, VPC peering, SOC 2 Type II, GDPR, HIPAA, and CCPA compliance.
24/7 Live Engineer Support
Real human engineers available around the clock with SLAs ranging from 12 hours to 6 hours depending on plan.
Pricing
- 1M events/month
- 50+ connectors
- Up to 5 users
- 1-hour scheduling
- SSO included
- Email support
- 5M events/month (annual)
- 150+ connectors
- Up to 10 users
- On-demand events
- 24/7 live chat
- 12-hour SLA
- 20M events/month (annual)
- Everything in Starter
- Unlimited users
- Hevo APIs
- Reverse SSH
- Add-ons available
- 100M+ events/month
- Streaming pipelines
- RBAC & SSO
- VPC peering
- Dedicated Data Architect
- 6-hour SLA
Best For
Data Warehouse Loading
Automatically sync data from SaaS apps, databases, and APIs into Snowflake, BigQuery, or Redshift for centralized analytics.
Real-Time Analytics Pipelines
Build near real-time data pipelines with CDC to keep dashboards and BI tools updated with the latest data.
Replacing Manual ETL Scripts
Replace fragile, hand-coded ETL scripts with reliable, no-code pipelines that self-heal on schema changes.
Multi-Source Data Consolidation
Combine data from 150+ sources into a single warehouse to create unified views for business intelligence.
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Featured In
6 Best Data Pipeline & ETL Tools for Modern Data Teams (2026)
Best budget-friendly managed ETL platform — delivers Fivetran-like simplicity and self-healing reliability at a fraction of the cost, with surprisingly strong support
6 Tools That Fix the 'Our Data Is Everywhere' Problem (2026)
Best mid-market option — Fivetran-like managed simplicity with a more generous free tier and in-pipeline transformations, ideal for teams that need real-time data without Fivetran-scale pricing.
Data Pipeline Tools With the Best dbt Integration (2026)
Budget option for basic dbt execution — checks the box for teams already on Hevo but lacks the depth and ecosystem maturity of Fivetran, Airbyte, or Dagster.
Hevo Data vs Airbyte: Which ELT Tool Is Better for Data Teams?
Best for teams that want managed ELT with built-in data quality monitoring and zero DevOps overhead.