Databricks Managed Services
Expertly managed Databricks environments that keep your data pipelines, AI workflows, and analytics running at peak performance.
End-to-End Support to Keep Your Databricks Platform Running Strong
Databricks is powerful, but getting consistent performance, secure governance, and scalable AI workflows requires expert management. Collectiv partners with organizations to take the day-to-day oversight off your plate, handling everything from pipeline orchestration and workload optimization to governance and cost control.
With our managed services, your Databricks platform runs consistently and securely, allowing your teams to focus on analytics, insights, and driving business outcomes.
Why Choose Databricks Managed Services
Managed Services reduce the operational burden on internal teams while providing guidance and proficiency in architecture, performance optimization, and analytics delivery. Key benefits include:
- Optimized workloads and pipeline performance
- Consistent platform governance and security
- Cost and resource efficiency
- Faster insights and AI capabilities
Our Managed Services Offerings
Data Engineering and ETL Management
Automate your data pipelines and ETL workflows to bring all your data under one scalable environment. Collectiv handles orchestration, monitoring, and optimization for maximum performance.
Lakehouse Implementation and Scaling
We help you deploy, configure, and scale Databricks Lakehouses to unify warehouses and data lakes. This supports dependable analytics, AI experimentation, and enterprise-grade performance.
Analytics and Business Intelligence Enablement
Build a self-service analytics environment that enables business users without compromising governance or performance. Connect Databricks with BI tools and advanced analytics engines for actionable insights.
Governance, Security, and Compliance
Establish policies for access control, lineage tracking, and compliance. Our team maintains secure, well-governed operations across your Databricks environment.
Performance Optimization and Cost Management
Continuously monitor workloads, optimize compute and storage usage, and implement best practices to reduce costs while maintaining high performance.
Cloud and Platform Administration
Collectiv manages your Databricks cloud environment, whether on Azure or other platforms, to maintain uptime, patching, and resource provisioning.
Our Managed Service Tiers
Ad Hoc - Break/Fix
999$
For organizations that want flexible, as-needed assistance without a managed service commitment. Includes:
- Hourly Break/Fix support for Fabric, Databricks, Azure, or Power BI incidents
- Rapid response from certified engineers
- Optional migration to Bronze or higher tiers when ongoing monitoring is desired
Gold - Tenant Governance
For enterprises that need operational support and formal governance for Microsoft Fabric tenants. Includes everything in Silver, plus:
- Access to our Fabric Tenant Governance App, providing:
- Centralized role and workspace governance
- Tenant-level policy enforcement
- Usage reporting, cost insights, and data lineage visibility
- Enhanced monitoring for compliance and audit readiness
- Quarterly governance review sessions with recommendations
Silver - Monitor & Break/Fix
For teams that need both proactive monitoring and on-demand engineering assistance. Includes everything in Bronze, plus:
- Hourly Break/Fix support for remediation of incidents, failed pipelines, or performance degradation
- Root-cause analysis for recurring Fabric or Databricks issues
- Ticket-based escalation process with SLA-backed response times
- Monthly review meeting for performance and governance recommendations
Bronze - Monitor & Alert
Ideal for organizations that want proactive visibility into their Fabric, Databricks, Azure, and Power BI environments. Includes:
- Real-time monitoring and alerting across Microsoft Fabric capacities, Databricks clusters, Azure resources, and Power BI services
- Centralized dashboards for performance, cost, and availability
- Automated alerts for job failures, workspace health, and data refresh errors
- Monthly operational health report and incident summary
Platinum - Full Managed Operations & Help Desk
Ideal for organizations seeking comprehensive operational outsourcing of their Microsoft data platform. Includes everything in Gold, plus:
- Help Desk services for:
- Workspace and user provisioning
- Role-based access and permission changes
- Environment intake and configuration requests
- Data platform governance updates and approval workflows
- Dedicated Service Manager and escalation path
- SLA-driven response and proactive change management
Key Use Cases
Enterprise Lakehouse Modernization
Modernizing fragmented or legacy data environments into a unified lakehouse is critical for scalability. Collectiv helps organizations consolidate disparate data sources, standardize storage and governance practices, and implement a single, production-ready platform.
Real-Time and Batch Analytics
Data insights often need to be delivered both in real-time and through batch processing for comprehensive analytics. Collectiv configures your Databricks environment to handle streaming data, event-driven pipelines, and scheduled batch workflows with optimal performance.
AI and Machine Learning Production
Turning data science models into production-ready AI requires continuous monitoring, version control, and integration with pipelines. Collectiv supports operationalizing machine learning and AI initiatives by automating model deployment, tracking performance, and maintaining reproducibility across environments, helping organizations extract real business value from their AI projects.
Self-Service Analytics for Business Teams
Allowing business users to explore data without heavy engineering dependency accelerates decision-making. Collectiv helps implement well-prepared datasets, standardized models, and governed access so analysts and decision-makers can run queries, create dashboards, and extract insights, all while maintaining data quality and compliance.
Comprehensive Databricks Platform Oversight
At Collectiv, we actively manage your Databricks environment end-to-end to make sure it aligns with your business goals. From cluster provisioning to workspace configuration, we handle every aspect of your platform so your teams can focus on delivering insights and driving AI initiatives.
Our approach includes:
- Full environment management: We configure workspaces, provision clusters, and scale resources to meet your analytics and AI needs.
- Proactive performance tuning: We monitor workloads and optimize performance to prevent bottlenecks before they impact operations.
- User and permission management: We establish secure access controls and make sure teams collaborate successfully without compromising data security.
- Platform upgrades and patch management: We keep your Databricks environment current, applying updates and patches to avoid disruption.
- Business-aligned operations: Every configuration and optimization is guided by your organizational objectives, making sure your data platform supports analytics, AI, and operational goals.
By partnering with Collectiv, organizations gain a managed service that reduces the need for internal platform know-how, mitigates risk, and frees internal teams to focus on extracting value from their data instead of managing infrastructure.
“Collectiv brought a wealth of real-world experience and made an impact from day one. We had access to an entire team of experts who strengthened our implementation process to make sure we had a solid project foundation.”
Dave Sawdey
Principal at Avison Young
Other Services We Offer
Consulting Services
Data and AI Services
Program
What is included in Databricks managed services?
Managed services include pipeline management, lakehouse scaling, governance, monitoring, performance optimization, and cloud administration.
How do managed services improve data pipeline reliability?
Continuous monitoring, automated ETL, and proactive tuning prevent disruptions and maintain consistent data flows.
Can managed services support AI and ML initiatives?
Yes. We help operationalize models, support experimentation, and integrate AI workflows into your Databricks environment.
Will my internal teams still be involved?
Absolutely. We collaborate with your engineers and analysts to transfer knowledge while handling day-to-day management.
How does cost optimization work?
Our team monitors compute and storage usage, adjusts resource allocation, and implements best practices to reduce unnecessary spend.
Can managed services scale with my organization?
Yes. We design scalable workflows and architectures that grow with your data volume and analytics complexity.
How do managed services uphold governance and compliance?
We implement access controls, policy enforcement, and lineage tracking to maintain compliance and secure sensitive data.
Are managed services platform-agnostic?
We primarily focus on Databricks, but integration with other cloud platforms and BI tools is supported.
How quickly can I see improvements after onboarding managed services?
Many organizations notice improved pipeline stability, faster insights, and better cost control within the first few weeks.
FAQs About Databricks Managed Services
Discover the Full Potential of Your Databricks Platform
Partnering with Collectiv keeps your Databricks environment running at peak performance while supporting your analytics and AI initiatives. Our managed services reduce operational risk, optimize costs, and free your teams to focus on delivering actionable insights.
Connect with our experts today to explore how we can help your organization scale data and AI capabilities securely.