The hidden costs and risks of fragmented Databricks projects.
- Vendor coordination nightmares - 73% of multi-vendor Databricks projects experience delays due to finger-pointing and integration gaps
- Implementation without automation planning - Traditional consultants deliver lakehouse architecture but leave you with manual pipeline management
- Platform vendors without implementation depth - Integration-only solutions lack the Databricks expertise needed for optimal architecture
- Double costs, compromised results - Separate SI and platform contracts typically cost 60% more while delivering fragmented outcomes
Unified implementation expertise and automation platform under one roof
- Certified Databricks implementation team - Full lakehouse architecture, migration, and optimization capabilities with proven methodology
- Native platform integration - Our automation platform is configured during implementation for seamless handoff
- Single vendor accountability - One contract, one support team, one unified roadmap from start to scale
- Implementation-automation synergy - Architecture decisions made with automation optimization in mind from day one
Technical excellence across implementation services and platform technology
- End-to-end lakehouse architecture - Unity Catalog design, Delta Lake optimization, multi-cloud deployment with automation integration built-in
- Implementation-optimized automation - Platform configured during architecture phase for optimal performance and scalability
- MLOps + automated orchestration - ML pipeline implementation with intelligent automation from deployment
- Performance optimization methodology - Consultant-led Spark tuning with platform-automated ongoing optimization
- Unified security and governance - SOC 2 + ISO 27001 compliance across both services and platform
Phase 1: Unified Architecture Planning - Lakehouse design with automation platform requirements integrated from start
Phase 2: Implementation + Platform Configuration - Databricks deployment with parallel automation platform setup and connector configuration
Phase 3: Migration + Automation Activation - Data migration with real-time automated pipeline creation and testing
Phase 4: Optimization + Knowledge Transfer - Performance tuning with platform automation training and handoff
Ongoing: Automated Operations + Expert Support - Platform handles daily operations with expert consultation availabl
Databricks Implementation Services:
- Complete lakehouse architecture and Unity Catalog setup with automation readiness
- Legacy system migration with zero-downtime automated pipeline transition
- MLOps implementation with automated model deployment and monitoring
- Performance optimization with ongoing automated tuning capabilities
Integrated Platform Automation:
- 340+ pre-built connectors activated during implementation
- No-code workflow automation configured for your specific architecture
- AI-powered predictive analytics and automated insights delivery
- Enterprise governance automation with compliance monitoring
| Competitor | Deployment Speed | Cost Efficiency | Automation Depth | Vendor Accountability | Optimization Capability |
|---|---|---|---|---|---|
|
Put It Forward + Databricks
|
Fastest: live in days
|
Up to 40% savings
|
Full lifecycle, 340+ connectors
|
Single contract, full support
|
Continuous, AI-driven
|
|
Traditional SI + Separate Platform
|
Weeks to months
|
Higher total cost
|
Manual coordination, limited
|
Split support, complex handoffs
|
Manual, limited scope
|
|
Databricks Professional Services
|
Weeks for setup
|
Premium pricing
|
No native automation
|
Project-based, limited support
|
Optimization on request only
|
|
Platform-Only Vendors
|
Varies, often slow
|
Per-connector pricing
|
No implementation expertise
|
Tech support only
|
Static, non-adaptive
|
|
Big SI Firms
|
Slow, multi-team
|
High billing rates
|
Fragmented tools
|
Bureaucratic, unclear
|
Consultant dependent
|
Why Put It Forward Delivers Superior Databricks Implementation and Support
- Fastest Deployment: Put It Forward + Databricks delivers live solutions in days versus weeks or months, outpacing traditional SIs, platform-only vendors, and custom development.
- Lower Total Cost: Achieves up to 40% savings compared to fragmented or multi-vendor approaches, by combining automation depth and implementation under one contract.
- Deeper Automation: Offers full lifecycle automation and 340+ pre-built connectors, surpassing competitors that require manual integration or lack true Databricks expertise.
- Unified Accountability: Provides a single vendor and contract, no split support, complex handoffs, or finger-pointing, ensuring a seamless end-to-end experience.
- Continuous Optimization: Delivers AI-driven, adaptive performance tuning for Databricks and connected workflows, unlike static or consultant-dependent alternatives.
- No Vendor Lock-in: Open architecture enables future flexibility, whereas other solutions may create long-term dependency or hidden switching costs.
- This complete solution uniquely combines expert implementation, automation, and ongoing optimization, outperforming all point-solution or multi-vendor options for Databricks integration and business automation.
Financial Services
- Regulatory-compliant lakehouse implementation with automated risk reporting and monitoring
- Real-time fraud detection deployment with intelligent alert automation and escalation
- Trading analytics optimization with continuous automated pipeline monitoring and optimization
Manufacturing
- IoT-optimized lakehouse architecture with predictive maintenance automation workflows and process optimization
- Supply chain analytics implementation with real-time automated insights and alerting
- Quality control ML deployment with automated model lifecycle management
Healthcare
- Reg-compliant lakehouse implementation with automated patient data governance and auditing
- Patient analytics deployment with automated regulatory reporting and compliance monitoring
- Medical imaging AI implementation with automated model deployment and performance tracking
The Analysts Say Put It Forward Is Way Ahead
Put It Forward Salesforce Workday Integration Resources
Guide to Agentic Workflows
This guidebook gives Databricks users a practical roadmap to implement AI agentic workflows, integrating intelligent automation and predictive analytics, to optimize business processes and decision-making.
Process Automation vs. Orchestration
With increasing workloads across the organization, this discussion walks you through the right time to use process automation or an orchestration solution for Salesforce Workday integration.
Real-Time Integration Best Practices
Databricks users will learn practical best practices to automate, scale, and secure real-time data integration and automation for instant, unified insights and agile business operations.
Revenue, Operations and IT Playbook
Discover practical strategies and real-world benefits of intelligent automation to streamline IT operations, integrate data, and drive business transformation.
Buyer Guide For Intelligent Automation
Get expert guidance on evaluating, selecting, and deploying intelligent automation solutions to maximize IT transformation, efficiency, and business impact.
How PIF's Architecture Works
Step through the architecture of Put It Forward; by the end of this video, you'll understand the platform, its components, and how it makes a difference in the enterprise.