| Feature | Etlworks | Alteryx | 
|---|---|---|
| Focus | ETL, ELT, CDC, data sync, data prep, API integration and management, workflow automation, B2B/EDI integration | Data preparation, blending, transformation, enrichment, geospatial and predictive analytics | 
| Price (Monthly) | $300–$4500+ | $412–$1200 per user | 
| Pricing Model | Fixed per tier | Fixed per user per tier | 
| Cost Transparency | High | High | 
| Sources | 260+ | 80+ | 
| Destinations | Data warehouses, databases, SaaS apps, big data and NoSQL platforms, file storage systems, APIs, message brokers, IoT brokers, email systems | Data warehouses, data lakes, databases, reporting tools (Power BI, Tableau), SaaS apps, cloud storage, files | 
| ETL capabilities | ETL, ELT, Reverse ETL, processing by wildcard | ETL, ELT | 
| Data Replication | Log-based CDC, Full, Incremental | Log-based CDC, Full, Incremental | 
| Data Streaming (queues) | Kafka, Events Hub, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQ |  | 
| 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, cleaning, normalization, enrichment, geospatial processing, predictive analytics, blending | 
| 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 transformations, formula builder | 
| API Management |  |  | 
| API Integration |  |  | 
| EDI Processing | Read and write X12, EDIFACT, HL7, FHIR, NCPD and VDA messages | Read X12 | 
| Nested Document Processing | Read, write, normalize and flatten: JSON, XML, Avro, Parquet | Read, write, 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 | Limited horizontal scaling, Handles Large Datasets (up to 50GB) | 
| Embeddable |  |  | 
| Data Governance | Automated schema management, access control and encryption, metadata management and data lineage not supported | Access control, encryption; metadata management and data lineage not supported | 
| Data Quality Management | Data validation, data cleansing, filtering, deduplication, normalization, and enrichment, automatic schema evolution | Data profiling, cleansing, deduplication, normalization, enrichment | 
| Compliance | HIPAA, GDPR, DPA, SOC 2 Type II | ISO 27001, SOC 2 Type 2, GDPR, HIPAA, CCPA | 
| Collaboration and Dev tools | RBAC, Multi-Tenancy, Version Control, Export and Import, Artifact Patching, Open API, AI Assistant | RBAC, Export and Import, Open API, SDK, workflow sharing | 
| Skill level | Low to Intermediate | Low | 
| Purchase Process | Self-Service (free trial converts to paid self-service), Conversations with Sales is optional | Self-Service (with free trial, converts to paid self-service), Sales for higher tiers | 
| Vendor lock-in | Monthly and Annual billing, no formal contract required | Annual billing, no formal contract required | 
Etlworks vs. Alteryx
Modern Integration Without Heavy Installations or Per-User Pricing
Data Prep vs. Full-Scale Integration
Alteryx and Etlworks both offer powerful data transformation capabilities. Alteryx focuses heavily on data preparation, blending, and analytics — requiring a desktop-based designer. Etlworks, by contrast, is a true enterprise-grade integration platform: full ETL/ELT, CDC, API integration, B2B/EDI processing, streaming, and hybrid deployment, all accessible through the cloud — no local installs needed.
Why Etlworks Stands Out
Complete Cloud-Native Integration
While Alteryx requires a desktop component to design workflows, Etlworks is fully cloud-native. Everything — from building pipelines to running complex integrations — happens in a secure, browser-based environment, streamlining deployment, collaboration, and scalability.
Broader Capabilities Beyond Data Prep
Alteryx excels at data preparation and enrichment but was not built as a full integration platform. Etlworks offers complete ETL, ELT, reverse ETL, CDC, real-time streaming, B2B/EDI processing, API management, and more — supporting a wide range of data engineering, integration, and orchestration use cases.
Predictable Pricing and Scalability
Alteryx’s pricing is per-user, meaning costs rise quickly as your team grows. Etlworks uses fixed, tier-based platform pricing starting at $300 per month — making it far more cost-effective for organizations with multiple users and large projects.
Faster Ramp-Up and Easier Learning Curve
Alteryx’s combination of desktop-based tools and more complex analytics functionality often leads to a steeper learning curve. Etlworks is designed for simplicity — intuitive drag-and-drop pipelines, quick onboarding, and easy handling of complex data flows without requiring deep technical expertise.
Move Beyond Desktop Limits
Alteryx is a strong choice for data prep and advanced analytics, but Etlworks is built for full-scale, modern data integration. No desktop installs, no user-based pricing, no steep learning curve — just complete ETL, ELT, CDC, streaming, and API integration, ready to scale with your business.
 
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