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On-premises installer
Sign in| Feature | Etlworks | Qlik Data Integration |
|---|---|---|
| Focus | ETL, ELT, CDC, data sync, data prep, API integration and management, workflow automation, B2B/EDI integration | ETL, ELT, CDC, data sync, data prep, data governance, workflow automation, real-time data streaming |
| Price (Monthly) | $300–$4500+ | $1000–$10000+ |
| Pricing Model | Fixed per tier | Usage-based, subscription with capacity units |
| Cost Transparency | High | Low |
| Sources | 260+ | 100+ (databases, SaaS apps, mainframes, SAP, cloud platforms) |
| Destinations | Data warehouses, databases, SaaS apps, big data and NoSQL platforms, file storage systems, APIs, message brokers, IoT brokers, email systems | Data warehouses, databases, cloud platforms, Hadoop, SaaS apps, streaming platforms |
| 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, Kinesis, PubSub, 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 | Drag-and-drop transformations, cleaning, normalization, enrichment, SQL-based transformations, automated ETL code generation |
| Advanced UI capabilities | Grid-based pipeline designer, drag and drop mapping, Explorer for visualizing and querying data | Workflow Designer, drag-and-drop pipeline designer, automated ETL generation interface |
| API Management |  |
|
| API Integration | |
|
| EDI Processing | Read and write X12, EDIFACT, HL7, FHIR, NCPD and VDA messages | Not supported |
| Nested Document Processing | Read, write, normalize and flatten: JSON, XML, Avro, Parquet | Read, write, normalize: 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 | 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 | Metadata management, data lineage, data catalog, access control, encryption |
| Data Quality Management | Data validation, data cleansing, filtering, deduplication, normalization, and enrichment, automatic schema evolution | Data profiling, cleansing, validation, enrichment, automated data quality rules |
| Compliance | HIPAA, GDPR, DPA, SOC 2 Type II | GDPR, HIPAA, SOC 2, PCI-DSS |
| 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, Workflow Scheduler |
| Skill level | Low to Intermediate | Low to Intermediate |
| Purchase Process | Self-Service (free trial converts to paid self-service), Conversations with Sales is optional | Requires Conversations with Sales, Free Trial available |
| Vendor lock-in | Monthly and Annual billing, no formal contract required | Annual billing, contracts may be required for enterprise plans |
Etlworks vs. Qlik Data Integration
Enterprise-Grade Integration Without Complexity or Unpredictable Pricing
Side-by-side comparison
Powerful Enterprise Data Sync
Etlworks and Qlik Data Integration both deliver strong solutions for modern data movement, replication, and transformation. While Qlik emphasizes real-time streaming, data governance, and a broader analytics stack, Etlworks focuses on full integration flexibility, predictable pricing, and simplified cloud and hybrid deployments without capacity-based pricing complexities.
Difference
Why Etlworks Stands Out
Broader Connectivity and Data Handling
Etlworks supports over 260 sources and destinations, including SaaS apps, APIs, message brokers, IoT platforms, and databases. Qlik Data Integration focuses more heavily on enterprise databases and streaming platforms, offering narrower connector coverage.
Predictable Pricing Without Hidden Complexity
While Qlik relies on usage-based and capacity unit pricing models, Etlworks offers fixed, transparent tiered pricing — making it easy to budget, scale, and expand without unexpected cost spikes.
Simplified Deployment Across Environments
Etlworks supports flexible deployments across cloud, on-premise, and hybrid environments, without complex licensing or infrastructure dependencies. Qlik often assumes larger enterprise infrastructure and contracts.
Full Integration, Not Just Data Replication
Qlik is strong in real-time replication and streaming, but Etlworks offers a full range of integration features — including ETL, ELT, reverse ETL, CDC, API management, B2B/EDI processing, and workflow orchestration — all through a unified platform.
More Flexibility, Broader Integration, Predictable Costs
Qlik Data Integration is a powerful option for enterprises focused on real-time replication and advanced governance. However, if you’re looking for broader integration coverage, easier deployment, transparent pricing, and a platform that grows with you across cloud and hybrid environments, Etlworks is the better choice.