Feature | Etlworks | Jitterbit |
---|---|---|
Focus | ETL, ELT, CDC, data sync, data prep, API integration and management, workflow automation, B2B/EDI integration | ETL, ELT, limited Reverse ETL, data sync, API integration and management, workflow automation, B2B/EDI integration |
Price (Monthly) | $300–$4500+ | $1,000–$2,000+ (Standard plan, best-case estimate) |
Pricing Model | Fixed per tier | Fixed per tier (Standard, Professional, Enterprise) |
Cost Transparency | High | Low (requires sales quote) |
Sources | 260+ | 170+ (including custom connectors via SDK) |
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, flat files, APIs |
ETL capabilities | ETL, ELT, Reverse ETL, processing by wildcard | ETL, ELT, limited Reverse ETL |
Data Replication | Log-based CDC, Full, Incremental | Log-based CDC (Salesforce, beta), Full, Incremental |
Data Streaming (queues) | Kafka, Events Hub, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQ | Not natively supported; API-based 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, Jitterbit Script/JavaScript, interactive mapping, validation |
Advanced UI capabilities | Grid-based pipeline designer, drag and drop mapping, Explorer for visualizing and querying data | Canvas-based drag-and-drop pipeline designer (Cloud Studio), drag and drop mapping, transformation preview |
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, AS2 connectivity |
Nested Document Processing | Read, write, normalize and flatten: JSON, XML, Avro, Parquet | Read, write, normalize: JSON, XML |
SaaS/PaaS | ![]() |
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On-premise Deployment | ![]() |
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On-premise Data Access | ![]() |
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Scalability and Performance | Horizontal scaling and vertical scaling, Supports High Availability (HA), Handles Large Datasets | Horizontal scaling via parallel processing, Supports High Availability (HA), Handles Large Datasets |
Embeddable | ![]() |
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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 validation, cleansing, normalization |
Compliance | HIPAA, GDPR, DPA, SOC 2 Type II | HIPAA, GDPR, SOC 1, 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, Connector SDK, Open API |
Skill level | Low to Intermediate | Intermediate |
Purchase Process | Self-Service (free trial converts to paid self-service), Conversations with Sales is optional | Self-Service (free trial), Sales contact required for pricing and higher tiers |
Vendor lock-in | Monthly and Annual billing, no formal contract required | Monthly and Annual billing, no formal contract required |
Etlworks vs. Jitterbit
Enterprise Integration Without the Enterprise Price Tag
Two Powerful Platforms, Two Different Approaches
Etlworks and Jitterbit are both robust platforms for ETL, API integration, workflow automation, and B2B/EDI. Both support a wide range of use cases, including cloud and on-premise deployment, API management, and drag-and-drop data transformations. However, Etlworks takes a more all-in-one, accessible approach — offering broader out-of-the-box capabilities, easier setup, native support for streaming and IoT, and transparent pricing that starts at a much lower cost. This makes it an attractive choice for teams that want to move fast without getting bogged down in sales cycles or enterprise pricing structures.
Why Etlworks Stands Out
Broader Capabilities for Less
Etlworks supports not just ETL and ELT but also full Reverse ETL, log-based CDC for multiple databases, native streaming with Kafka, MQTT, and message queues, plus deep support for complex document types — all in a single platform starting at just $300/month.
Lower Barrier to Entry
With transparent pricing, self-service signup, and no required sales call to get started, Etlworks removes friction for teams of all sizes. Try, test, and deploy at your pace — with the flexibility to scale when you’re ready.
Native IoT and Extended EDI Capabilities
Both Etlworks and Jitterbit offer strong support for EDI, including X12 and EDIFACT. Etlworks goes further by also supporting healthcare-specific formats like HL7 and FHIR, as well as native connectivity for IoT scenarios using MQTT brokers — enabling real-time data flows without custom development.
Simplified Integration at Scale
Etlworks includes built-in version control, multi-tenancy, RBAC, artifact patching, and AI-assisted mapping — all designed to reduce complexity as your data operations grow.
Smarter Integration Without the Overhead
Jitterbit and Etlworks both offer capable integration solutions, but Etlworks goes further — combining ETL, CDC, API integration, streaming, and EDI in a single, easy-to-use platform. With broader native capabilities, lower starting costs, faster onboarding, and fewer dependencies on professional services, Etlworks helps teams of any size launch and scale integrations with confidence. Whether you’re building your first data pipeline or automating hundreds of enterprise flows, Etlworks delivers the power you need — without the enterprise price tag or complexity.