24/7 Databricks Support
For Fast, Stable & Cost-Efficient Performance
We are Open source Code Contributor
Zero-Day Vulnerability Fixes
Critical Vulnerability Assessment
Roadmap & Recommendations
SLA-Backed Technical Support
Zero-Day Vulnerability Fixes
Critical Vulnerability Assessment
Roadmap & Recommendations
SLA-Backed Technical Support
Databricks Enterprise Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Databricks Support Packages
Choose the plan that best fits your Databricks environment and business needs. Every plan includes defined response times, regular cluster health reports, and direct access to Databricks-certified engineers who know the platform end to end.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Like Yours
From energy to healthcare, enterprises running Databricks with Ksolves see the same result. Fewer incidents, better performance, and costs that reflect what the platform was built to deliver.
99.99%
SLA Maintained
SLA Maintained
Ksolves holds 99.99% uptime across client environments through proactive monitoring, auto-healing pipelines, and zero-drama incident response.
40%
Lower TCO
Lower TCO
From licensing audits to compute consolidation, Ksolves cuts total cost of ownership by 40%, without cutting corners on performance or reliability.
98%
Contract Renewal Rate
Contract Renewal Rate
We take pride in saying 98% of clients come back. Not because of lock-in, but because the work speaks for itself. That’s Ksolves Promise - on time, on budget, and exactly what was promised.
30 Min
Turnaround Time
Turnaround Time
Ksolves responds and resolves in under 30 minutes, keeping production running and teams unblocked.
Databricks Support Services to Keep Your Full Lakehouse Lifecycle Running
Keep your full lakehouse lifecycle running from initial workspace setup to advanced pipeline optimization and 24x7 managed operations. One team handles your entire Databricks lifecycle.
Managed Databricks Cluster Operations
Databricks' performance degrades quietly. Clusters grow oversized, jobs accumulate, shuffle spills, and Delta tables bloat until queries slow and pipelines fail. Ksolves monitors the signals that matter and resolves Databricks performance issues before your data teams feel them.
- Cluster monitoring and health management across all workloads
- Autoscaling policy setup with driver and worker node tracking
- Job run monitoring with failure alerting and automatic retry
- Idle cluster termination and DBU spend anomaly alerting
- Delta table health checks with OPTIMIZE and VACUUM enforcement
- SLA-backed response with named escalation contacts
Databricks Performance Tuning Service
Slow jobs and rising DBU costs signal a poorly tuned environment. Our engineers analyze Spark UI metrics and job DAGs to find bottlenecks and apply targeted fixes that deliver measurable speed gains.
- Spark UI and DAG analysis for shuffle bottlenecks and stage failures
- Partition skew detection and resolution for faster job execution
- Cluster rightsizing to eliminate idle DBU spend
- Databricks Delta table troubleshooting with OPTIMIZE and ZORDER tuning
- Databricks out-of-memory error resolution through executor memory tuning
- SQL Warehouse query optimization using execution plan analysis
Deep Diagnosis. Fast Fix.
From cluster not starting and job failures to notebook errors and driver crashes, our engineers diagnose the root cause, not just the symptom. Every incident is closed with a full Root Cause Analysis.
- Databricks troubleshooting for cluster startup failures and driver crashes
- Databricks job failing diagnosis covering dependency and configuration errors
- Databricks notebook error investigation across Python, Scala, SQL, and R
- Databricks out-of-memory error resolution through memory and executor tuning
- Databricks Spark troubleshooting for long-running stages and task failures
- SLA-tracked incident management with documented RCA reports
Every Pipeline Monitored. Every Issue Caught Early.
We build, manage, and monitor Databricks pipelines, including Delta Live Tables, Auto Loader, and dbt on Databricks. Proactive alerting catches ingestion delays before they reach downstream dashboards.
- Delta Live Tables pipeline setup, monitoring, and failure remediation
- Auto Loader configuration for continuous and incremental data ingestion
- Databricks Delta table troubleshooting for schema evolution and merge conflicts
- dbt on Databricks setup and pipeline management
- Real-time Databricks monitoring service with job failure and freshness alerting
- Data quality validation and pipeline health reporting
Migrate to Databricks Without Compromising Data Integrity
Moving a legacy data warehouse into Databricks without redesigning the data model produces a lakehouse that underperforms the source system. Ksolves redesigns the architecture before a single record moves.
- Source system audit covering data type mapping and query profiling
- Delta Lake schema design covering partition strategy and Z-order key selection
- Historical data migration from Hadoop, Teradata, Redshift, and Snowflake
- Live sync setup using Auto Loader and Delta Live Tables during cutover
- Rolling runtime version migration with zero job downtime
- Post-migration validation covering row counts and performance benchmarking
Databricks Security Built Into the Lakehouse Architecture
Databricks holds financial records, PHI data, and proprietary business data that auditors scrutinize closely. Ksolves applies security at the architecture level, so compliance is a property of how the environment is built, not a checklist completed before an audit.
- Unity Catalog RBAC configuration and privilege audit across all assets
- Dynamic data masking and row-level security policy implementation
- Private endpoint, VNet injection, and IP access list configuration
- Secrets management integration with Azure Key Vault and AWS Secrets Manager
- Audit logging with SIEM export for GDPR, HIPAA, SOC 2, and PCI-DSS
- Quarterly policy drift review and security posture remediation
Databricks Installation Support Designed for Production Scale
Workspace structure, cluster policies, and Unity Catalog design decisions made at installation determine how the environment behaves at 10x current data volume. Ksolves designs Databricks environments with that future state in mind.
- Workspace setup on AWS, Azure, and GCP with private link configuration
- Cluster policy design covering instance types and autoscaling bounds
- Unity Catalog setup covering metastore, storage credentials, and external locations
- Delta Live Tables setup for medallion architecture implementation
- Terraform-based infrastructure-as-code for workspace provisioning and CI/CD
- Databricks installation support for enterprise SSO, SCIM provisioning, and identity provider integration
Expert Databricks Guidance for Your Engineering Team
Ksolves Databricks architects work directly with your engineering and data teams, reviewing architecture, building optimization roadmaps, and running enablement sessions that reduce long-term dependency on external support.
- Databricks architecture review covering cluster sizing and anti-pattern identification
- DBU cost governance roadmap and spend optimization planning
- Developer and analyst enablement workshops across SQL, PySpark, and Delta Lake
- Unity Catalog and data governance readiness assessment
- Incident post-mortem and Root Cause Analysis workshops
- Databricks support contract options for ongoing retainer-based expert access
Through the Client's Lens
Why Ksolves Is a Trusted Choice of Global Teams for Databricks Enterprise Support?
Ksolves brings certified Databricks managed services expertise, round-the-clock availability, and a track record across industries where pipeline failures and slow jobs are never just technical problems.
90%
Client Retention Rate
750+
Projects Successfully
Delivered
NSE & BSE
Publicly Listed
Company
600+
Workforce and still
growing
350+
Certifications
200+
Happy Clients
150K+
Support Hours
Completed
Industries We Help Scale with Databricks
The data volumes in oil and gas are not the same as those in retail. The compliance requirements in healthcare look nothing like those in fintech. Ksolves brings Databricks support services expertise shaped around what your industry specifically cannot afford to get wrong.
Telecom
Billions of CDR events and network telemetry records processed daily require pipelines that never miss a beat. Ksolves Databricks managed services keep telecom data flowing at carrier scale with zero job failures during peak traffic.
Healthcare
HIPAA-compliant clinical analytics require more than standard access controls. Ksolves Databricks enterprise support manages PHI governance, audit logging, and Unity Catalog row-level security so every data access is traceable.
E-commerce
Inventory, order, and customer behavior pipelines need to run without lag for personalization and fulfillment to work. Ksolves Databricks support services keep Delta Live Tables healthy and data fresh around the clock.
Fintech
Every job failure in a fraud detection or regulatory reporting pipeline has a direct business cost. Ksolves Databricks managed service provider expertise keeps those environments tuned, monitored, and compliant at all times.
Energy and Oil and Gas
Well data processing and reservoir simulation workloads push Databricks clusters hard. Ksolves Databricks support services manage cluster rightsizing, Delta table optimization, and Unity Catalog governance for energy teams where data accuracy is non-negotiable.
Manufacturing
IoT sensor feeds, MES systems, and supply chain event streams need reliable ingestion pipelines. Ksolves Databricks managed services connect those sources into governed lakehouse environments without manual intervention.
Retail
POS transactions, loyalty data, and omnichannel signals need to land in analytics-ready Delta tables before the moment passes. Ksolves Databricks support services make real-time retail intelligence actually real-time.
Banking and Financial Services
Core banking flows and multi-jurisdictional regulatory reporting require a lakehouse that is both fast and auditable. Ksolves Databricks enterprise support covers those dual requirements without trading performance for compliance.
Logistics and Supply Chain
Shipment tracking, carrier data, and last-mile telemetry need near-real-time transformation to power operational dashboards. Ksolves Databricks consulting keeps those pipelines running and data visible across every distribution node.
Technology and SaaS
Multi-tenant data products, internal analytics, and ML pipelines run better on a lakehouse that stays out of the way. Ksolves Databricks support covers technology teams that want infrastructure that just performs.
Ksolves on Databricks: Insights from Lakehouse Experts
Explore the latest Databricks trends, best practices, and expert insights for building scalable, high-performing lakehouse architectures at enterprise scale.
Success Stories from Global Enterprises
Discover real-world case studies showcasing measurable outcomes, faster pipeline performance, and successful Databricks implementations.
Eliminating ~900K Duplicate Oil Well Records via Azure Databricks
Challenge
The same wellbore appeared under 3–4 different IDs across 6,200 Excel files and 8 systems, causing royalty errors and a BLM audit risk.
Solution
Azure Databricks + PySpark with geospatial blocking and an ML model (F1=0.971), plus a human-in-the-loop MDM portal for geologist review.
~900K
Duplicate Records Eliminated, 42% Azure Cost Reduction
Databricks Lakehouse for Unified Reporting
Challenge
Data from 9+ sources (TKO, Samsara, QuickBooks, APIs, CSVs) had no central home, and departments ran siloed reports manually with no real-time visibility.
Solution
Databricks Medallion Lakehouse on Azure with ADF pipelines, an ODS layer for near real-time reporting, Power BI dashboards, and ML models for route optimization.
Real-time
Reporting Enabled-Manual Retrieval Fully Eliminated
Databricks Medallion Lakehouse for a US Self-Storage REIT: 300+ Facilities
Challenge
5 disconnected systems produced conflicting reports; pricing decisions ran on data 3–4 days old across 300+ facilities, with REIT compliance gaps on governance.
Solution
Databricks Medallion Lakehouse on Azure with Unity Catalog for lineage and RBAC, all 5 sources unified into one governed platform in 14 weeks using AI-assisted profiling.
85%
Faster Marketing Insights, 12% RevPAU Uplift
Multi-Site CDR Pipeline for a Telecom Operator Across 4 Remote Locations
Challenge
CDR data from 4 remote sites had no unified ingestion- billing reconciliation was fully manual, causing revenue leakage as subscriber volumes grew.
Solution
NiFi agents at all 5 sites feed Kafka → Spark → Druid, with live Superset dashboards for billing and network teams.
Sub-second
Query Response on Live CDR Data
Eliminating ~900K Duplicate Oil Well Records via Azure Databricks
Challenge
The same wellbore appeared under 3–4 different IDs across 6,200 Excel files and 8 systems, causing royalty errors and a BLM audit risk.
Solution
Azure Databricks + PySpark with geospatial blocking and an ML model (F1=0.971), plus a human-in-the-loop MDM portal for geologist review.
~900K
Duplicate Records Eliminated, 42% Azure Cost Reduction
Databricks Lakehouse for Unified Reporting
Challenge
Data from 9+ sources (TKO, Samsara, QuickBooks, APIs, CSVs) had no central home, and departments ran siloed reports manually with no real-time visibility.
Solution
Databricks Medallion Lakehouse on Azure with ADF pipelines, an ODS layer for near real-time reporting, Power BI dashboards, and ML models for route optimization.
Real-time
Reporting Enabled-Manual Retrieval Fully Eliminated
Databricks Medallion Lakehouse for a US Self-Storage REIT: 300+ Facilities
Challenge
5 disconnected systems produced conflicting reports; pricing decisions ran on data 3–4 days old across 300+ facilities, with REIT compliance gaps on governance.
Solution
Databricks Medallion Lakehouse on Azure with Unity Catalog for lineage and RBAC, all 5 sources unified into one governed platform in 14 weeks using AI-assisted profiling.
85%
Faster Marketing Insights, 12% RevPAU Uplift
Multi-Site CDR Pipeline for a Telecom Operator Across 4 Remote Locations
Challenge
CDR data from 4 remote sites had no unified ingestion- billing reconciliation was fully manual, causing revenue leakage as subscriber volumes grew.
Solution
NiFi agents at all 5 sites feed Kafka → Spark → Druid, with live Superset dashboards for billing and network teams.
Sub-second
Query Response on Live CDR Data
Frequently Asked Questions
Everything you need to know before choosing a Databricks support services partner.
Consider professional Databricks support services when your team is dealing with recurring databricks performance issues, databricks cluster not starting errors, rising DBU costs without clear cause, or when your environment has grown too complex to manage alongside your core data and ML work.
Yes. Databricks troubleshooting is a core part of every Ksolves support plan. Our engineers diagnose databricks job failing scenarios, databricks notebook errors, driver and worker crashes, and dependency conflicts across Python, Scala, SQL, and R environments. Every incident is closed with documented resolution steps and a Root Cause Analysis.
Ksolves engineers analyze Spark UI metrics, job DAGs, shuffle operations, and cluster utilization based on your actual workload patterns. This databricks performance tuning eliminates bottlenecks, resolves databricks out of memory errors, reduces idle DBU spend, and delivers the query performance Databricks was designed to produce.
Databricks managed services from Ksolves covers everything: workspace setup, cluster management, pipeline monitoring, databricks Delta table troubleshooting, security governance, cost optimization, and 24×7 incident response. Your team stays focused on building data products while Ksolves manages the infrastructure.
Yes. Databricks Delta table troubleshooting is included in all support plans. Ksolves engineers resolve schema evolution conflicts, merge operation failures, compaction issues, and OPTIMIZE and VACUUM configuration problems that cause slow queries and bloated storage costs.
Critical incidents receive a 30-minute acknowledgement and 2-hour resolution target across all Databricks support plans. These are contractual SLA commitments, not internal service goals. Platinum customers get a dedicated escalation path with 24×7 direct access to a named Databricks architect.
Yes. Ksolves provides databricks support services across all major cloud providers including AWS, Azure, and GCP. Support scope and SLAs remain consistent regardless of cloud provider or deployment configuration.
Yes. Teams looking to outsource Databricks support can hand over full cluster operations, pipeline management, security governance, and incident response to Ksolves. Our databricks managed service provider model covers the full environment so your engineers focus on analytics and ML outcomes, not infrastructure.
