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On-premises installer
Sign in| Feature | Etlworks | Hevo Data |
|---|---|---|
| Focus | ETL, ELT, CDC, data sync, data prep, API integration and management, workflow automation, B2B/EDI integration | ETL, ELT, CDC, data sync |
| Price (Monthly) | $300–$4500+ | $239–$5000+ |
| Pricing Model | Fixed per tier | Fixed per tier |
| Cost Transparency | High | Moderate |
| Sources | 260+ | 150+ |
| Destinations | Data warehouses, databases, SaaS apps, big data and NoSQL platforms, file storage systems, APIs, message brokers, IoT brokers, email systems | Data warehouses, databases, SaaS apps |
| ETL capabilities | ETL, ELT, Reverse ETL, processing by wildcard | ETL, ELT, Reverse ETL |
| Data Replication | Log-based CDC, Full, Incremental | Log-based CDC, Full, Incremental |
| Data Streaming (queues) | Kafka, Events Hub, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQ | Kafka and SQS |
| Data Streaming (IoT brokers) | MQTT brokers |  |
| Transformations | Drag-and-drop transformations, cleaning, normalization, restructuring, SQL/JavaScript/Python/XLS/Shell scripting, metadata-driven interactive mapping, lookups, enrichment, soft deletes | Drag-and-drop transformations, Python scripts, enrichment, cleaning, normalization, interactive mapping |
| Advanced UI capabilities | Grid-based pipeline designer, drag and drop mapping, Explorer for visualizing and querying data | Canvas-based drag-and-drop pipeline designer, drag and drop mapping, drag and drop transformations, formula builder |
| API Management |  |
|
| API Integration | |
|
| EDI Processing | Read and write X12, EDIFACT, HL7, FHIR, NCPD and VDA messages | |
| Nested Document Processing | Read, write, normalize and flatten: JSON, XML, Avro, Parquet | Read, write and flatten: JSON, XML |
| SaaS/PaaS | |
|
| On-premise Deployment | |
|
| On-premise Data Access | |
|
| Scalability and Performance | Horizontal scaling and vertical scaling, Supports High Availability (HA), Handles Large Datasets | Automatic scaling with cloud infrastructure, Supports High Availability (HA), Handles Large Datasets |
| Embeddable | |
|
| Data Governance | Automated schema management, access control and encryption, metadata management and data lineage not supported | Automated schema management, metadata management and data lineage not supported |
| Data Quality Management | Data validation, data cleansing, filtering, deduplication, normalization, and enrichment, automatic schema evolution | Data cleansing, filtering, deduplication, and enrichment |
| Compliance | HIPAA, GDPR, DPA, SOC 2 Type II | SOC 2, HIPAA, GDPR, CCPA |
| Collaboration and Dev tools | RBAC, Multi-Tenancy, Version Control, Export and Import, Artifact Patching, Open API, AI Assistant | RBAC, SDK, Export and Import |
| Skill level | Low to Intermediate | Low |
| Purchase Process | Self-Service (free trial converts to paid self-service), Conversations with Sales is optional | Self-Service (free trial converts to paid self-service), Conversations with Sales is optional |
| Vendor lock-in | Monthly and Annual billing, no formal contract required | Monthly and Annual billing, no formal contract required |
Etlworks vs. Hevo Data
Enterprise-Grade Data Integration Without Compromise
Side-by-side comparison
Built for the Modern Data Stack — but Not All Platforms Are Equal
Both Etlworks and Hevo Data are excellent choices for building a modern data stack, focusing on easy, reliable data sync and load into cloud warehouses. Pricing is similar and predictable across both platforms. However, Etlworks goes much further — offering broader integration capabilities, greater flexibility, and even more powerful features to simplify complex data workflows.
Difference
Why Etlworks Stands Out
Beyond Sync — Complete Integration Capabilities
While both platforms excel at data sync and load, Etlworks offers a full enterprise-grade feature set: ETL, ELT, reverse ETL, CDC, real-time streaming, API management, B2B/EDI integration, and on-premise deployments — without needing additional tools or services.
Powerful Yet Simpler for Complex Workflows
Hevo Data is user-friendly, but Etlworks takes usability even further — enabling easy configuration of complex scenarios like wildcard-based processing, hybrid deployments, and multi-format ingestion. Teams can achieve more, faster, with fewer technical hurdles.
Broader Connectivity and Streaming Support
Etlworks supports more than 260 connectors out of the box, including databases, filesystems, APIs, message brokers, and IoT platforms. While Hevo offers good coverage, Etlworks brings deeper connectivity and native support for complex streaming platforms like Kafka, Kinesis, and ActiveMQ.
Full Control, Predictable Pricing
Both Etlworks and Hevo Data offer predictable, fixed-tier pricing. But with Etlworks, you also get higher cost transparency and flexibility, ensuring you maximize the value of every dollar spent as your needs scale.
Modern Data Integration That Scales With You
Both Etlworks and Hevo Data provide a strong foundation for modern data stacks. But Etlworks takes it to the next level — offering broader capabilities, easier handling of complex scenarios, greater flexibility, and unmatched integration depth.