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On-premises installer
Sign in| Feature | Etlworks | CData |
|---|---|---|
| Focus | ETL, ELT, CDC, data sync, data prep, API integration and management, workflow automation, B2B/EDI integration | ETL, ELT, CDC, data sync, API integration, B2B/EDI integration, real-time data connectivity |
| Price (Monthly) | $300–$4500+ | $333–$833+ |
| Pricing Model | Fixed per tier | Subscription-based, tiered by connections and data volume |
| Cost Transparency | High | Moderate |
| Sources | 260+ | 250+ |
| 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, big data and NoSQL platforms, file storage systems, APIs |
| 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, RabbitMQ, ActiveMQ |
| Data Streaming (IoT brokers) | MQTT brokers | Not supported |
| Transformations | Drag-and-drop transformations, cleaning, normalization, restructuring, SQL/JavaScript/Python/XLS/Shell scripting, metadata-driven interactive mapping, lookups, enrichment, soft deletes | SQL and dbt transformations, cleaning, normalization, filtering, joins, aggregations |
| Advanced UI capabilities | Grid-based pipeline designer, drag and drop mapping, Explorer for visualizing and querying data | Point-and-click pipeline designer, job and task configuration interface |
| API Management |  |
|
| API Integration | |
|
| EDI Processing | Readக Read and write X12, EDIFACT, HL7, FHIR, NCPD and VDA messages | Read and write X12, EDIFACT, HL7, CSV, XML |
| Nested Document Processing | Read, write, normalize and flatten: JSON, XML, Avro, Parquet | Read, write, normalize: JSON, XML, CSV, Parquet |
| SaaS/PaaS | |
|
| On-premise Deployment | |
|
| On-premise Data Access | |
|
| Scalability and Performance | Horizontal scaling and vertical scaling, Supports High Availability (HA), Handles Large Datasets | Horizontal scaling, Supports High Availability (HA), Handles Large Datasets |
| Embeddable | |
|
| Data Governance | Automated schema management, access control and encryption, metadata management and data lineage not supported | Access control, encryption, metadata management, data lineage via CData Virtuality |
| Data Quality Management | Data validation, data cleansing, filtering, deduplication, normalization, and enrichment, automatic schema evolution | Data validation, cleansing, filtering, normalization |
| Compliance | HIPAA, GDPR, DPA, SOC 2 Type II | HIPAA, GDPR, SOC 2, EU-US Privacy Shield |
| Collaboration and Dev tools | RBAC, Multi-Tenancy, Version Control, Export and Import, Artifact Patching, Open API, AI Assistant | RBAC, Version Control, Export and Import, Open API |
| Skill level | Low to Intermediate | Intermediate to Advanced |
| Purchase Process | Self-Service (free trial converts to paid self-service), Conversations with Sales is optional | Free trial available, requires form submission; Sales consultation often required |
| Vendor lock-in | Monthly and Annual billing, no formal contract required | Annual billing, no formal contract required |
Etlworks vs. CData
Enterprise-Ready Integration Beyond Data Sync
Side-by-side comparison
Flexible Data Integration vs. No-Code Data Sync
Etlworks and CData both support ETL, ELT, and CDC across cloud and on-premise systems. CData focuses on no-code data synchronization between sources and destinations. Etlworks goes beyond, combining easy-to-use integration with broader enterprise features like workflow automation, real-time streaming, API management, and hybrid deployment — all with predictable pricing.
Difference
Why Etlworks Stands Out
Full Integration Platform, Not Just Sync
While CData specializes in no-code data sync, Etlworks delivers a full integration platform with ETL, ELT, CDC, API management, B2B/EDI processing, streaming, and workflow automation.
Broader Deployment Flexibility
Etlworks supports cloud, on-premise, and hybrid environments without additional setup. CData is focused mainly on cloud or connector-based sync across standard platforms.
Designed for Scalability and Growth
CData is excellent for straightforward no-code data movement. Etlworks provides the flexibility needed to scale complex data integration projects as business requirements evolve.
More Powerful Data Transformation and Automation
While CData focuses mainly on connecting and syncing data between sources, Etlworks adds powerful built-in data transformation, automation, scheduling, and real-time orchestration capabilities — all within the same platform.
More Flexibility, Broader Workflows, Predictable Pricing
CData offers a great no-code option for simple cloud data sync. But if you’re looking for an enterprise-grade platform that supports broader use cases, larger environments, and predictable scaling, Etlworks is the better choice.