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On-premises installer
Sign in| Feature | Etlworks | Funnel.io |
|---|---|---|
| Focus | ETL, ELT, CDC, data sync, data prep, API integration and management, workflow automation, B2B/EDI integration | ETL, basic ELT, limited Reverse ETL, data sync, marketing data prep, API integration, dashboard reporting |
| Price (Monthly) | $300–$4500+ | $399–$1,799+ (Starter plan, best-case estimate) |
| Pricing Model | Fixed per tier | Flexpoints-based per tier (Starter, Business, Enterprise) |
| Cost Transparency | High | Moderate (requires demo/calculator) |
| Sources | 260+ | 500+ (marketing-focused) |
| Destinations | Data warehouses, databases, SaaS apps, big data and NoSQL platforms, file storage systems, APIs, message brokers, IoT brokers, email systems | Data warehouses, BI tools, spreadsheets, SaaS apps, APIs |
| ETL capabilities | ETL, ELT, Reverse ETL, processing by wildcard | ETL, basic ELT, limited Reverse ETL |
| Data Replication | Log-based CDC, Full, Incremental | Full, Incremental (near-real-time, up to 2-hour freshness) |
| Data Streaming (queues) | Kafka, Events Hub, Kinesis, SQS, PubSub, ActiveMQ, RabbitMQ | Not supported; API-based syncs |
| 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, currency conversion, custom metrics/dimensions |
| Advanced UI capabilities | Grid-based pipeline designer, drag and drop mapping, Explorer for visualizing and querying data | Canvas-based drag-and-drop interface, Data Explorer for querying and visualization |
| 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 | |
Not supported |
| On-premise Data Access | |
|
| Scalability and Performance | Horizontal scaling and vertical scaling, Supports High Availability (HA), Handles Large Datasets | Horizontal scaling, Supports High Availability (AWS), 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 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 | GDPR, SOC 2, CCPA |
| 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 | Low to Intermediate |
| Purchase Process | Self-Service (free trial converts to paid self-service), Conversations with Sales is optional | Self-Service (free trial, no credit card), Sales contact for higher tiers |
| Vendor lock-in | Monthly and Annual billing, no formal contract required | Monthly and Annual billing, no formal contract required |
Etlworks vs. Funnel.io
All-in-One Data Integration — Not Just for Marketing
Side-by-side comparison
Purpose-Built for Marketing vs. Built for Everything
Funnel.io and Etlworks both simplify the process of moving and preparing data for analysis, but their scopes are very different. Funnel.io focuses on marketing data — helping marketers collect, clean, and push campaign performance metrics into BI tools. Etlworks offers a more general-purpose integration platform that spans ETL, ELT, CDC, streaming, B2B/EDI, API management, and workflow automation — across all data domains. If your needs go beyond marketing dashboards, Etlworks provides a unified solution with deeper capabilities and broader connectivity, without giving up ease of use.
Difference
Why Etlworks Stands Out
Broader Scope Beyond Marketing
Funnel.io is optimized for marketing analytics, but Etlworks supports the full spectrum of integration scenarios — from moving web analytics into a warehouse to streaming IoT data, automating business workflows, syncing databases, and processing EDI messages.
Native Streaming and CDC Support
Etlworks offers real-time data pipelines with Kafka, MQTT, and other stream processors, as well as log-based CDC for multiple databases. Funnel.io, in contrast, relies on batch-based API syncs with refresh cycles measured in hours.
On-Prem and Hybrid Deployments
While Funnel.io is cloud-only, Etlworks supports both SaaS and on-prem deployments — making it a better fit for hybrid architectures and enterprises with data residency or security constraints.
Unified Platform for ETL, ELT, and Reverse ETL
Etlworks combines robust ETL, full ELT, and reverse ETL in a single platform. It also includes advanced scripting, metadata-driven mapping, schema evolution, and deep transformation logic — well beyond Funnel.io’s focus on data prep for marketers.
A Full-Stack Integration Platform — Not Just for Marketing
Funnel.io is an excellent choice for marketers looking to consolidate campaign data into dashboards. But if your data integration needs span multiple teams, tools, and use cases, Etlworks delivers far more — from ETL and CDC to streaming, IoT, and B2B. With broader support for sources and destinations, deeper transformation features, and flexible deployment models, Etlworks empowers businesses to unify and scale their data operations with a single platform that works across departments.