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On-prem installers
Sign in| Feature | Etlworks | Oracle Data Integrator |
|---|---|---|
| Focus | ETL, ELT, CDC, data sync, data prep, API integration and management, workflow automation, B2B/EDI integration | ELT, ETL, CDC, data sync, data warehousing, SOA-enabled data services, B2B integration |
| Price (Monthly) | $300–$4500+ | $600–$30,000+ (Cloud Standard plan, best-case; on-premise licensing scales with users/processors) |
| Pricing Model | Fixed per tier | Named User Plus or Per Processor (on-premise); subscription-based (cloud) |
| Cost Transparency | High | Low (requires sales quote, complex licensing) |
| Sources | 260+ | 100+ (databases, Hadoop, ERPs, CRMs, flat files, XML, JSON, etc.) |
| 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 platforms, flat files, APIs |
| ETL capabilities | ETL, ELT, Reverse ETL, processing by wildcard | ELT, ETL, limited Reverse ETL |
| Data Replication | Log-based CDC, Full, Incremental | Log-based CDC (via Oracle GoldenGate), Full, Incremental |
| Data Streaming (queues) | Kafka, Events Hub, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQ | Not natively supported; API-based event-driven integrations possible |
| 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, SQL-based, Knowledge Modules, metadata-driven mapping, data quality firewall |
| Advanced UI capabilities | Grid-based pipeline designer, drag and drop mapping, Explorer for visualizing and querying data | Graphical ODI Studio, drag-and-drop mapping, complex configuration interface |
| API Management |  |
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| API Integration | |
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| EDI Processing | Read and write X12, EDIFACT, HL7, FHIR, NCPD and VDA messages | Read and write X12, EDIFACT via Knowledge Modules |
| Nested Document Processing | Read, write, normalize and flatten: JSON, XML, Avro, Parquet | Read, write, normalize: JSON, XML, Avro, Parquet |
| SaaS/PaaS | |
|
| On-premise Deployment | |
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| On-premise Data Access | |
|
| Scalability and Performance | Horizontal scaling and vertical scaling, Supports High Availability (HA), Handles Large Datasets | Horizontal and vertical 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 | Automated schema management, access control, encryption, metadata-driven lineage (with Oracle Enterprise Metadata Management) |
| Data Quality Management | Data validation, data cleansing, filtering, deduplication, normalization, and enrichment, automatic schema evolution | Data validation, cleansing, filtering, profiling, normalization (via Oracle Enterprise Data Quality) |
| Compliance | HIPAA, GDPR, DPA, SOC 2 Type II | HIPAA, GDPR, SOC 2 |
| 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, Knowledge Modules |
| Skill level | Low to Intermediate | Intermediate to High |
| Purchase Process | Self-Service (free trial converts to paid self-service), Conversations with Sales is optional | Sales-driven (no self-service, demo on request) |
| Vendor lock-in | Monthly and Annual billing, no formal contract required | Annual licensing, moderate lock-in due to Oracle ecosystem |
Etlworks vs. Oracle Data Integrator
Modern ETL Without the Enterprise Overhead
Side-by-side comparison
Legacy Enterprise ETL vs. Modern All-in-One Platform
Oracle Data Integrator (ODI) and Etlworks both provide robust ETL and ELT capabilities, but they cater to very different teams and priorities. ODI is a legacy enterprise tool optimized for Oracle ecosystems, often requiring significant setup, infrastructure, and expertise. Etlworks is a modern, lightweight alternative designed for agility — offering end-to-end data integration, CDC, API and EDI support, and streaming in one platform with low-code interfaces and transparent pricing. Teams looking for fast onboarding, cloud-native flexibility, and broader use cases beyond Oracle will find Etlworks easier to adopt and scale.
Difference
Why Etlworks Stands Out
Fast Setup, Easy Maintenance
ODI often demands specialized skills, on-prem infrastructure, and Oracle-specific knowledge. Etlworks is cloud-native, intuitive, and requires no deep platform expertise — reducing onboarding from weeks to hours.
Broader Ecosystem Support
Etlworks connects to 260+ data sources and destinations across databases, SaaS apps, file systems, message queues, and IoT brokers — far beyond ODI’s Oracle-centric focus. You’re not locked into a single vendor ecosystem.
Built-In CDC and Streaming
With native support for log-based CDC and streaming platforms like Kafka, Kinesis, and MQTT, Etlworks simplifies real-time data movement — without the need for additional tools or licenses.
All-in-One Integration Platform
Etlworks goes beyond ETL and ELT, offering workflow automation, Reverse ETL, embedded EDI processing, API management, AI-assisted mapping, and version control — all built in, no external add-ons required.
A Lightweight, Powerful Alternative to ODI
While Oracle Data Integrator is a mature option for Oracle-centric enterprises, Etlworks offers a more modern, flexible approach — ideal for teams that need fast results, real-time pipelines, and integration across a diverse ecosystem. With a broader feature set, easier ramp-up, and no need for heavy infrastructure, Etlworks is built for today’s cloud-first data environments. Whether you’re integrating databases, APIs, files, or streaming data, Etlworks helps you move faster — without the enterprise burden.