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On-premises installer
Sign in| Feature | Etlworks | Palantir Foundry |
|---|---|---|
| Focus | ETL, ELT, CDC, data sync, data prep, API integration and management, workflow automation, B2B/EDI integration | ETL, ELT, CDC, data sync, data prep, API integration, data governance, real-time analytics, AI/ML integration, ontology-driven data management |
| Price (Monthly) | $300–$4500+ | Not publicly disclosed; estimated $10,000–$100,000+ for enterprise deployments |
| Pricing Model | Fixed per tier | Custom enterprise contracts, usage-based |
| Cost Transparency | High | Low |
| Sources | 260+ | 100+ (structured, unstructured, semi-structured, databases, SaaS apps, APIs) |
| 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, APIs, cloud platforms |
| ETL capabilities | ETL, ELT, Reverse ETL, processing by wildcard | ETL, ELT, Reverse ETL, batch, micro-batch, streaming |
| 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, Spark streaming |
| 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 | Code-based (PySpark, SQL, Python), visual pipeline builder, cleaning, normalization, enrichment, ontology-based transformations |
| Advanced UI capabilities | Grid-based pipeline designer, drag and drop mapping, Explorer for visualizing and querying data | Pipeline Builder, visual data modeling, ontology designer, integrated analytics UI |
| 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, 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 | Metadata management, data lineage, access control, encryption, ontology-driven governance |
| Data Quality Management | Data validation, data cleansing, filtering, deduplication, normalization, and enrichment, automatic schema evolution | Data validation, cleansing, profiling, enrichment, automated quality checks |
| Compliance | HIPAA, GDPR, DPA, SOC 2 Type II | HIPAA, GDPR, SOC 2, FedRAMP |
| 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, Code Workbooks, Pipeline Scheduler |
| Skill level | Low to Intermediate | Intermediate to Advanced |
| Purchase Process | Self-Service (free trial converts to paid self-service), Conversations with Sales is optional | Requires Conversations with Sales, No Free Trial |
| Vendor lock-in | Monthly and Annual billing, no formal contract required | Long-term enterprise contracts, potential for high lock-in |
Etlworks vs. Palantir Foundry
Enterprise-Grade Integration Without Complexity or Unpredictable Pricing
Side-by-side comparison
Enterprise Integration Platforms, One Focused on Simplicity
Palantir Foundry is a premium platform combining integration, governance, real-time analytics, and AI/ML modeling — tailored primarily for large enterprises. Etlworks focuses on delivering equally strong ETL, ELT, CDC, API integration, and workflow automation — with broader flexibility, easier deployment, and predictable, cost-effective pricing designed for growing and agile businesses.
Difference
Why Etlworks Stands Out
Full Integration Capabilities Without High Complexity
Foundry combines integration with advanced analytics and ontology-driven modeling, often requiring a larger technical team. Etlworks focuses purely on delivering complete ETL, ELT, CDC, streaming, and API integration — with less overhead and faster time to value.
Predictable, Accessible Pricing
Foundry’s pricing is custom, high-cost, and heavily contract-driven. Etlworks offers transparent, fixed-tier pricing starting at $300 per month — enabling enterprise-grade integration without enterprise-grade spend.
Easier Deployment Across Cloud and On-Premise
Etlworks deploys easily across cloud, on-premise, or hybrid environments with minimal setup. Foundry typically involves larger deployments with long onboarding and integration cycles.
Designed for Flexibility Across Teams
Foundry is built for highly specialized enterprise teams. Etlworks is accessible to both technical and non-technical users, enabling broader adoption across departments without heavy training or staffing requirements.
Enterprise Integration Without Enterprise Overhead
Palantir Foundry is a world-class platform for organizations needing deep analytics and advanced modeling. But if you’re looking for flexible, scalable data integration — full ETL, CDC, streaming, APIs, and more — at a fraction of the complexity and cost, Etlworks is the better choice.