- Companies lose 60% of their Databricks platform value to manual processes
- Disconnected systems create AI training delays
- Manual ETL processes cost $2M annually in lost productivity
- Every day without automation = missed AI opportunities and competitive disadvantage
- Put It Forward Integration Designer connects Databricks to your entire enterprise tech stack in hours
- AI-powered platform automates Unity Catalog data flows
- Eliminates manual Spark configuration and maintenance overhead
- Provides real-time Delta Lake insights that accelerate AI model training
- Pre-built Databricks Unity Catalog connectors - Deploy in hours with AI-powered schema mapping
- Native Delta Lake optimization - Automatic partitioning and performance tuning
- SOC 2 + Unity Catalog compliance - Enterprise security and governance from day one
- No-code Spark workflow builder - Business users create ML pipelines without coding
- Real-time monitoring - Proactive Databricks cluster optimization and auto-scaling
We all implement new technology; a transformation or automation project can be simple, targeted, or enterprise-wide.
Accelerate time-to-value and reduce risk with a proven integration plan.
Our proven methodology ensures low-risk, high-impact integrations. Most clients see measurable ROI in the first year accelerated by best practices and enterprise-grade support.
- Most clients see improved Databricks integration automation performance within 48 hours
- Zero disruption guarantee - No downtime to existing Databricks workloads or ML pipelines
Implementation timeframes depend on scope and complexity:
- Hour 1-2: Configure connection source and destination
- Hour 2-36: Business rule configuration and validation
- Hour 36-48: Full deployment
Lakehouse Architecture Design:
- Unity Catalog setup and governance framework implementation
- Delta Lake optimization and performance tuning
Multi-cloud deployment strategy (AWS, Azure, GCP)
Migration & Modernization Services:
- Legacy data warehouse migration to Databricks
ETL/ELT pipeline conversion and optimization - Minimal downtime migration with rollback capabilities
ML/AI Implementation:
- MLOps pipeline setup and automation
- Generative AI and LLM implementation services
- Model lifecycle management and deployment
Performance Optimization:
- Spark cluster optimization and auto-scaling configuration
- Cost optimization and resource management
- Query performance tuning and indexing strategies
| Key Decision Factor | Put It Forward + Databricks | Cloud ETL | Legacy ETL | Open Source ETL | Custom Spark Development |
|---|---|---|---|---|---|
|
Implementation Speed
|
60% faster setup with native Unity Catalog integration
|
Standard connector deployment
|
Complex enterprise sales cycle, slower implementation
|
Open source setup complexity
|
6+ months development timeline
|
|
Total Cost
|
40% lower cost with unified platform approach
|
High per-connector pricing
|
Enterprise licensing + implementation fees
|
Hidden infrastructure and maintenance costs
|
95% more engineering resources required
|
|
Databricks Integration
|
Native Unity Catalog optimization built-in
|
Basic connector approach
|
Generic integration without optimization
|
Limited Databricks-specific features
|
Custom development required
|
|
Performance
|
3x faster deployment with better Spark performance
|
Data movement focus only
|
Vendor lock-in with proprietary optimization
|
Community support limitations
|
Requires deep Spark expertise
|
|
Enterprise Support
|
Dedicated enterprise support with guaranteed SLAs
|
Limited support tiers
|
Complex support hierarchy
|
Community-based support
|
Internal team dependency
|
|
Vendor Lock-in
|
Open architecture, no lock-in
|
Platform dependency
|
Proprietary system lock-in
|
Open source flexibility
|
Internal code ownership
|
|
Maintenance Overhead
|
Fully managed service
|
Managed connectors only
|
Requires ongoing administration
|
Self-managed infrastructure
|
100% internal maintenance
|
|
Scalability
|
Built-in best practices with automated optimization
|
Scales with usage costs
|
Enterprise-grade but complex
|
Manual scaling required
|
Custom scaling implementation needed
|
|
Time to Value
|
Days to production
|
Weeks for full deployment
|
Months for enterprise setup
|
Weeks to months depending on expertise
|
6+ months to production
|
|
Future-Proofing
|
Continuous platform updates and optimization
|
Connector-specific updates
|
Vendor roadmap dependency
|
Community development pace
|
Internal development resources required
|
Financial Services
Scenario: Regulatory-compliant lakehouse implementation with automated risk reporting and monitoring.
Solution: Unity Catalog setup + automated compliance workflows + real-time risk detection pipelines + regulatory audit automation.
Manufacturing
Scenario: IoT-optimized lakehouse architecture with predictive maintenance automation workflows plus cross system workflow orchestration.
Solution: Sensor data lakehouse design + automated maintenance triggers + ML model deployment + production line integration.
Healthcare
Scenario: HIPAA-compliant lakehouse implementation with automated patient data governance and auditing.
Solution: Secure patient data architecture + automated HIPAA compliance monitoring + clinical workflow integration + audit trail automation.
The Analysts Say Put It Forward Is Way Ahead
Put It Forward Databricks Integration and Automation 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 Databricks 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.