Hevo Data is a no-code data pipeline platform that enables data and RevOps teams to replicate data from 150+ sources — CRMs, databases, SaaS apps, marketing platforms — into Snowflake, Redshift, BigQuery, or Databricks without writing ETL code. It targets teams that need reliable data integration without dedicated data engineering resources.
Product Overview
Hevo's no-code pipeline builder differentiates it from engineering-heavy tools like AWS Glue or Azure Data Factory: non-technical users can connect a Salesforce, HubSpot, or Stripe source, map fields, and have data flowing into Snowflake in under 30 minutes. The platform handles schema drift automatically — when a source adds or renames a field, Hevo adjusts the destination schema without manual intervention. Its near-real-time sync option reduces pipeline latency to minutes for sources that support change data capture (CDC). For RevOps teams building unified CRM and product analytics pipelines, Hevo covers the most common SaaS-to-warehouse use cases with minimal ongoing maintenance. Fault tolerance and automatic error recovery reduce pipeline downtime without engineering supervision.
Key Features
- 150+ Pre-Built Connectors: Ready-to-use connectors for Salesforce, HubSpot, Google Ads, Stripe, PostgreSQL, MongoDB, and 150+ more sources.
- No-Code Pipeline Builder: Visual pipeline configuration — field mapping, data transformation, and scheduling without writing ETL code.
- Automatic Schema Management: Detects and applies source schema changes automatically — no manual pipeline updates when source structure changes.
- Near-Real-Time Sync: CDC-based replication for supported sources — data latency as low as a few minutes rather than hourly batch loads.
- Data Transformation: Built-in transformation layer for cleaning, type-casting, and enriching data before loading to destination.
Best For
Data and RevOps teams that need reliable SaaS-to-warehouse pipelines without dedicated data engineering — particularly for CRM, marketing, and billing data consolidation.
Pricing
Free plan (1M events/month). Starter from $239/month. Business and enterprise plans available.
Key Integrations
Snowflake, Amazon Redshift, Google BigQuery, Databricks, Salesforce, HubSpot, Stripe, Google Analytics, MongoDB, PostgreSQL
Pros
- Fastest time to first data in destination — pipelines running in under 30 minutes
- Automatic schema management reduces ongoing maintenance significantly
- 150+ connectors covers most common SaaS and database sources
- No-code UI accessible to non-engineering RevOps and analytics teams
Cons
- Transformation capabilities are less powerful than dbt-based approaches for complex logic
- Pricing escalates at higher event volumes relative to Fivetran or Airbyte
- Limited support for custom API sources without developer involvement
RevOps Jobs-to-Be-Done
- No-Code ETL Pipeline Setup in Minutes — Connect SaaS data sources (Salesforce, HubSpot, Stripe, Shopify) and destination warehouses (BigQuery, Snowflake, Redshift) with zero code — setting up real-time data pipelines through a visual interface. KPI: First data pipeline live in 30 minutes vs. days of custom ETL development
- Real-Time CRM and Revenue Data in Data Warehouse — Replicate Salesforce, HubSpot, and billing system data into Snowflake or BigQuery in real time — giving RevOps and analytics teams fresh CRM data for dashboards without engineering pipelines. KPI: CRM data in warehouse updated every 15 minutes vs. daily batch jobs
- Multi-Source Data Unification for Business Analytics — Consolidate data from marketing, sales, product, and financial systems into a single warehouse — enabling cross-source analysis that would require separate engineering effort with manual connectors. KPI: Business analytics team self-serve on unified data within 1 week vs. 2–3 months of custom pipeline development
How It Fits Your Stack
Primary system of record: Data warehouse destination (BigQuery, Snowflake, Redshift) — Hevo brings data there from all sources
Key integrations: Salesforce, HubSpot, Shopify, Stripe, MySQL, PostgreSQL, BigQuery, Snowflake, Amazon Redshift
Data flows: SaaS/database sources connected in Hevo → real-time sync to warehouse → schema auto-managed → data available for BI tools
Security & Compliance
- SSO / SAML: Google OAuth, SAML
- RBAC / permissions: Yes
- Audit logs: Yes
- Certifications: SOC 2 Type II, GDPR, HIPAA
- Data residency: US, EU
Implementation & Ownership
- Time to first value: 30 minutes to 1 day — connect source, configure destination, data flowing
- Implementation complexity: Low
- Typical owners: Analytics Engineer, RevOps Manager, Data Analyst
Best for teams that want managed connectors without engineering overhead; free 14-day trial; pricing based on events — high-volume Salesforce syncs can get expensive; compare with Fivetran for similar use cases
Proof & Buyer Signals
Ratings: G2: 4.4/5 (350+ reviews); Capterra: 4.5/5 (100+ reviews)
What buyers praise:
- Easy setup for non-engineers
- Good Salesforce connector reliability
- Responsive support
Common complaints:
- Event-based pricing gets expensive at scale
- Transformation capabilities limited vs. dbt
- Some connectors less mature than Fivetran
Often Compared With
- Fivetran — Fivetran has more mature connectors and stronger enterprise SLAs; Hevo is more affordable for mid-market teams with similar no-code connector setup
- Airbyte — Airbyte is open-source and self-hostable; Hevo is fully managed with better support and easier setup but at higher cost
- Stitch — Stitch is the simplest ELT tool (Talend-owned); Hevo has more connectors and better transformation capabilities at comparable pricing
