Hevo Data vs Rivery
ETL & data extraction head-to-head for ERP teams: evidenced capabilities, published pricing, and which ERPs each actually integrates with.
| Starting price | Free tier + subscription (usage/event-based) + custom enterprise plan | Usage-based (BDU / Boomi Data Unit credits), tiered plans |
| Deployment | Cloud | Cloud |
| Company size | SMB, Mid-market, Enterprise | SMB, Mid-market, Enterprise |
| Stated ERP integrations | NetSuite, QuickBooks, Xero | NetSuite, SAP, Oracle Fusion Cloud, Sage Intacct |
| Vendor | Hevo Data | Rivery (a Boomi company) |
Our take
Where Hevo Data leads
- Stronger evidenced coverage on 15 of the 31 capabilities where they differ (led by cloud data warehouse destinations and encryption at rest & in transit).
- Stated QuickBooks, Xero integration the alternative doesn't list.
Where Rivery leads
- Stronger evidenced coverage on 16 of the 31 capabilities where they differ (led by visual pipeline/workflow builder and conditional & branching pipeline logic).
- Stated SAP, Oracle Fusion Cloud, Sage Intacct integration the alternative doesn't list.
Where they differ
The 31 capabilities (of 52 in the ETL & data extraction taxonomy) where the evidence separates them, biggest gaps first. “Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
| Capability | ||
|---|---|---|
| Visual pipeline/workflow builderOrchestration & Scheduling | Not evidenced | Core strength Visual workflow builder ("Rivers") with conditional logic |
| Conditional & branching pipeline logicOrchestration & Scheduling | Not evidenced | Core strength Conditional logic plus loop-over and container steps for iterating across datasets |
| Multi-environment promotion (dev/test/prod)Orchestration & Scheduling | Not evidenced | Core strength Multiple environments (e.g. Dev/Prod) for promoting pipelines |
| Cloud data warehouse destinationsDestinations & Activation | Core strength Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics | Not evidenced |
| Reverse ETL / operational activationDestinations & Activation | Not evidenced | Core strength Push warehouse data into operational apps via API, with a documented reverse-ETL path from HubSpot/Salesforce into NetSuite |
| Encryption at rest & in transitGovernance, Security & Compliance | Core strength AES-256 at rest, TLS 1.2+ in transit, per-customer encryption key with role-based key management | Not evidenced |
| Third-party compliance certificationsGovernance, Security & Compliance | Core strength SOC 2 Type II, HIPAA, GDPR, CPRA and DORA | Not evidenced |
| Self-healing retries / fail isolationMonitoring & Operations | Core strength Isolated pipelines with auto-retries and fail-safes to prevent cascading failures | Not evidenced |
| Incremental syncExtraction & Replication | Not evidenced | Supported Incremental load management |
| Schema drift detection & propagationExtraction & Replication | Core strength Self-healing schema drift detection with automatic mapping updates | Partial Automated schema creation on load; explicit drift-handling/propagation not detailed |
| Configurable sync frequencyExtraction & Replication | Not evidenced | Supported Advanced scheduling of pipeline runs |
| Visual, no-code transformation builderTransformation & Modeling | Supported Drag-and-drop transformation builder for no-code users | Not evidenced |
| SQL / ELT pushdown transformsTransformation & Modeling | Not evidenced | Supported SQL Query and SQL Script transformation steps |
| Managed dbt integrationTransformation & Modeling | Supported Native dbt job execution within pipelines | Not evidenced |
| Reusable transformation templatesTransformation & Modeling | Not evidenced | Supported Reusable transformation templates ("Kits") |
| Schedule & event-based triggersOrchestration & Scheduling | Not evidenced | Supported Advanced scheduling of pipeline runs |
| Parameterized, reusable pipelinesOrchestration & Scheduling | Not evidenced | Supported Variables management across a workflow |
| CI/CD & infrastructure-as-codeOrchestration & Scheduling | Not evidenced | Supported API and CLI access for CI/CD-driven pipeline management |
| Data lake / lakehouse destinationsDestinations & Activation | Supported Databricks (Delta Lake) destination | Not evidenced |
| Database & flat-file destinationsDestinations & Activation | Supported PostgreSQL, MySQL, MS SQL Server, MariaDB, Elasticsearch and AWS OpenSearch | Not evidenced |
| Hybrid deployment / on-prem execution agentDeployment & Runtime Architecture | Not evidenced | Supported PrivateLink and Reverse SSH connectivity (Pro Plus+); VPN tunnels for network-isolated sources (Enterprise) |
| Regional / sovereign data-plane deploymentDeployment & Runtime Architecture | Supported Selectable processing region: Frankfurt, Mumbai, Oregon, Virginia, Singapore or Sydney | Not evidenced |
| Failure & anomaly alertingMonitoring & Operations | Supported Proactive alerts on pipeline failures and anomalies | Not evidenced |
| SAP module-level extraction (ECC/S4HANA/BW)Enterprise ERP Depth & AI Automation | Not evidenced | Supported Separate documented connectors cover SAP ERP, ECC, HANA, BW, SuccessFactors and Concur |
| Pre-built connector libraryConnector Catalog & Source Coverage | Supported 150+ pre-built connectors across databases, SaaS applications, cloud storage and APIs | Core strength 200+ native connectors across databases, SaaS applications and files |
| Custom connector SDK / builderConnector Catalog & Source Coverage | Partial Custom connectors built by Hevo on request, not a self-serve SDK | Not evidenced |
| Log-based Change Data CaptureExtraction & Replication | Core strength Log-based CDC for near real-time replication | Supported CDC replication for supported databases, including Oracle |
| Checkpointing & resumable syncsExtraction & Replication | Partial Automatic recovery of failed records; not explicitly described as mid-sync checkpointing | Not evidenced |
| Code-based transforms (SQL/Python scripting)Transformation & Modeling | Supported SQL-based transformations and Python-based Hevo Transformer jobs | Core strength SQL-based steps plus Python script steps (pandas/numpy) and Rivery DataFrames passing data between them |
| Pipeline monitoring dashboardMonitoring & Operations | Core strength Real-time dashboards tracking latency, throughput and job status | Supported Monitoring dashboard and activity/run logs |
| Write-back through the ERP's own application layerEnterprise ERP Depth & AI Automation | Not evidenced | Partial Reverse-ETL write-back demonstrated for NetSuite; not documented for SAP, Oracle or Sage Intacct |
Both grade identically on the other 21 capabilities — see each product's full profile: Hevo Data, Rivery.
Hevo Data vs Rivery — FAQs
Is Hevo Data or Rivery better for ERP integration?
Both state integrations with NetSuite. Hevo Data additionally lists QuickBooks, Xero. Rivery additionally lists SAP, Oracle Fusion Cloud, Sage Intacct. Always verify the connector against your ERP version with a reference customer.
Which is cheaper, Hevo Data or Rivery?
Neither publishes a list price — both quote. Ask each for the all-in first-year cost at your seat count, as one number, and compare those.
Get pricing for both
Tell us your ERP, seat count and must-haves and we'll come back with an independent view of what Hevo Data and Rivery should each cost you — and whether a third option belongs on your shortlist.