24/7 Starburst Support Services
Built for Performance,
Reliability, and Scale
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
Starburst Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Starburst Support Packages
Every Starburst support plan is designed around your data platform's operational demands. Pick the tier that fits how mission-critical your query environment is and how quickly you need us to respond.
Standard
Advanced
Platinum
What Ksolves has Delivered for Organizations Like Yours
Enterprises across fintech, healthcare, telecom, and SaaS rely on Ksolves Starburst commercial support to run faster queries, reduce downtime, and keep distributed SQL environments stable and secure.
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.
Starburst Enterprise Support Services to Keep Your Full Data Platform Lifecycle Running
From initial cluster setup to advanced query optimization and 24x7 managed operations, one team owns your entire Starburst lifecycle.
24/7 Starburst Managed Support Services for Cluster Stability
Ksolves handles full operational responsibility for your Starburst environment so your engineering team stays focused on analytics and not on incidents.
- Monitor coordinator and worker nodes for JVM heap pressure, GC pauses, and queue depth
- Health checks across catalog connections, connector availability, and HMS sync status
- Automated alerts for node failures, resource saturation, and spill-to-disk events
- Lifecycle management covering rolling restarts, maintenance windows, and patch coordination
- 30-minute SLA on-call response for P1 production query incidents
- Post-incident reviews and runbook documentation after every major outage
Real-Time Starburst Enterprise Support Visibility Across Every Query Layer
We instrument your Starburst deployment end-to-end, from JMX metrics to Prometheus exporters and Grafana dashboards, giving your team real-time insight into every layer of the query engine.
- Configure JMX exporters integrated with Prometheus and Grafana for unified observability
- Custom dashboards tracking active queries, memory usage, CPU time, and connector read latency
- Distributed tracing via OpenTelemetry for cross-catalog query bottleneck detection
- Alerting pipelines via Alertmanager or PagerDuty for coordinator downtime and slow queries
- Query history analysis via Starburst Query History Store to surface resource-heavy patterns
- APM integration with Datadog, New Relic, and Splunk for consolidated observability
Starburst Query Optimization and Cluster Performance Engineering
Ksolves engineers trace Starburst performance issues to their origin, whether in query planning, connector push-down, data skew, or JVM configuration, and deliver targeted resolutions.
- EXPLAIN and EXPLAIN ANALYZE to resolve predicate push-downs and cross-join issues
- Connector optimization for Hive, Iceberg, and Delta Lake with partition pruning and bloom filter tuning
- JVM heap and GC tuning (G1GC / ZGC) for high-concurrency query workloads
- Memory pool configuration for query.max-memory and task.max-partial-aggregation-memory
- Data skew remediation via salting strategies and CBO statistics refresh
- Spill-to-disk tuning to prevent OOM failures during peak query windows
Production-Ready Starburst Enterprise Support Deployment
We architect and deploy Starburst environments configured correctly from day one, Kubernetes-native, catalog-federated, and fully documented for your operations team.
- Deploy Starburst Enterprise on EKS, GKE, and AKS using Helm charts with an HA coordinator
- Multi-catalog federation across Hive, Iceberg, Delta Lake, Kafka, and cloud sources (S3, GCS, ADLS)
- RBAC setup using Starburst access control, Ranger, or OPA for catalog-level permissions
- Starburst Galaxy onboarding covering domain config, cluster provisioning, and catalog registration
- Data product setup, including semantic layer definition and certified dataset publication
- Full deployment documentation, ADRs, and team handoff training
Zero-Downtime Starburst Upgrades and Managed Migration Services
Ksolves manages the full Starburst upgrade and migration lifecycle, from compatibility audits to cutover, ensuring zero query disruption.
- Pre-upgrade audits covering connector versions, UDFs, and client driver compatibility
- Rolling upgrades for Starburst Enterprise using staged coordinator and worker replacement
- Presto and PrestoSQL to Starburst Enterprise migration with SQL dialect validation
- Hive-to-Iceberg migration with partition evolution, schema evolution, and time-travel enablement
- Post-upgrade regression testing using historical query workload replay
- Starburst Galaxy migration covering auth integration and catalog re-registration
Starburst Enterprise Support for Security Hardening and Compliance
We secure your Starburst environment end-to-end, covering TLS encryption, SSO integration, column-level masking, and audit trails for SOC 2, HIPAA, and GDPR compliance.
- TLS and mTLS configuration for coordinator-to-worker and client traffic with certificate rotation
- LDAP, Active Directory, and SAML/OIDC SSO across Starburst web UI and JDBC/ODBC clients
- Column-level and row-level security using Apache Ranger or OPA for data residency enforcement
- Dynamic data masking for PII fields aligned to HIPAA, PCI-DSS, and GDPR requirements
- CVE monitoring and emergency patch deployment for Starburst and the Trino engine
- Audit log enablement and SIEM integration with Splunk, Elastic, and Sumo Logic
Through the Client's Lens
Why Ksolves Is a Trusted Choice of Global Teams for Starburst Support?
Starburst deployments break at scale when connectors drift, query planners lack accurate statistics, or JVM settings go untuned. Ksolves engineers bring hands-on Starburst production experience across multi-cloud and on-premises environments, with SLA-backed response times and a track record of resolving what generic vendor support cannot.
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 Starburst
From our consulting services in the USA to enterprise deployments across India and Europe, Ksolves delivers tailored Starburst support built for the data ingestion volumes, compliance obligations, and real-time query demands of each industry.
Telecom
Multi-petabyte CDR analytics on Starburst with Iceberg time-travel and partition pruning for sub-second query SLAs.
Healthcare
HIPAA-compliant column masking, row-level access control, and audit logging across patient data catalogs on Starburst.
E-commerce
Real-time behavior analytics by federating Kafka, Iceberg, and PostgreSQL catalogs through a unified Starburst query layer.
Fintech
Regulatory reporting and fraud detection pipelines using Starburst cross-catalog SQL, Delta Lake, and PCI-DSS data masking.
Entertainment and Media
Content recommendation pipelines joining S3 clickstream data with RDS subscriber records via Starburst federation.
Manufacturing
IoT sensor and ERP catalog federation on Starburst for predictive maintenance and production yield analytics.
Retail
Unified supply chain and promotional analytics connecting Snowflake, Redshift, and Iceberg tables through Starburst.
Banking and Financial Services
GDPR and SOC 2-compliant query audit trails and role-based catalog isolation across Starburst multi-tenant environments.
Logistics and Supply Chain
GPS event streams, warehouse inventory, and logistics API federation through Starburst for route optimization analytics.
Technology and SaaS
Starburst as the analytical backbone for internal data products covering usage telemetry and customer health scoring.
Ksolves: Insights from Enterprise Experts
Explore the latest real-time data processing trends, stream processing strategies, and expert insights for building scalable, reliable, and high-performance data environments.
Success Stories from Global Enterprises
Ksolves Big Data Experts have delivered excellence for multiple clients operating across industries. Explore the case studies and experience the Ksolves Impact.
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
NiFi 1.27 → 2.7 Kubernetes Migration, Financial Services
Challenge
NiFi 1.27 is running on bare metal with no SSO, no scalability, and a growing compliance pipeline that the architecture couldn't support.
Solution
Migrated to NiFi 2.7 on Kubernetes with OneLogin SSO integration, zero downtime, completed in 6 weeks.
3X
Scalability Headroom - 6 Weeks, Zero Downtime
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 deduplication with geospatial blocking and an ML model (F1=0.971), plus a human-in-the-loop MDM review portal.
~900K
Duplicate Records Eliminated
Petabyte CDR Migration from MapR to ClickHouse, Zero Data Loss
Challenge
Years of CDR data on an end-of-life MapR platform with no vendor support. Compliance queries took 4–6 hours, and regulators required signed proof of zero data loss.
Solution
Spark migrated data in resumable batches with 4 automated validation checks per batch. NiFi produced a signed migration certificate. ClickHouse was optimised for compliance queries from day one.
<8s
Compliance Query Time (from 4–6 hours)
AI-Ready Open Lakehouse on Red Hat OpenShift, Gulf Retailer
Challenge
SAP S/4HANA was too expensive. Cloud platforms are unavailable across GCC. 80 TB of daily data needed sub-second processing, and Power BI reports couldn't be touched.
Solution
On-premises lakehouse on existing OpenShift: NiFi → Kafka → Flink → Iceberg on MinIO → Trino serving Power BI as a drop-in SAP BW replacement. Zero new hardware.
80 TB
Daily Data: Sub-Second SLA, Zero New Hardware
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
NiFi 1.27 → 2.7 Kubernetes Migration, Financial Services
Challenge
NiFi 1.27 is running on bare metal with no SSO, no scalability, and a growing compliance pipeline that the architecture couldn't support.
Solution
Migrated to NiFi 2.7 on Kubernetes with OneLogin SSO integration, zero downtime, completed in 6 weeks.
3X
Scalability Headroom - 6 Weeks, Zero Downtime
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 deduplication with geospatial blocking and an ML model (F1=0.971), plus a human-in-the-loop MDM review portal.
~900K
Duplicate Records Eliminated
Petabyte CDR Migration from MapR to ClickHouse, Zero Data Loss
Challenge
Years of CDR data on an end-of-life MapR platform with no vendor support. Compliance queries took 4–6 hours, and regulators required signed proof of zero data loss.
Solution
Spark migrated data in resumable batches with 4 automated validation checks per batch. NiFi produced a signed migration certificate. ClickHouse was optimised for compliance queries from day one.
<8s
Compliance Query Time (from 4–6 hours)
AI-Ready Open Lakehouse on Red Hat OpenShift, Gulf Retailer
Challenge
SAP S/4HANA was too expensive. Cloud platforms are unavailable across GCC. 80 TB of daily data needed sub-second processing, and Power BI reports couldn't be touched.
Solution
On-premises lakehouse on existing OpenShift: NiFi → Kafka → Flink → Iceberg on MinIO → Trino serving Power BI as a drop-in SAP BW replacement. Zero new hardware.
80 TB
Daily Data: Sub-Second SLA, Zero New Hardware
Frequently Asked Questions
Everything you need to know before choosing a Starburst support partner.
Ksolves provides end-to-end Starburst support, including 24/7 managed operations, query performance tuning, connector troubleshooting, version upgrades, security hardening, and compliance implementation for both Starburst Enterprise and Starburst Galaxy (SaaS), with SLA-backed response times.
We use EXPLAIN ANALYZE to identify missing predicate push-downs, cross-join misorders, and skewed partitions, then audit CBO stats freshness, Hive/Iceberg partition pruning, and JVM heap configuration to resolve regressions with targeted config changes.
Yes. We profile JMX metrics to identify misconfigured query.max-memory-per-node, data skew across workers, or GC heap pressure, then implement memory pool adjustments and spill-to-disk thresholds to prevent recurrence.
Yes. We support Starburst Galaxy (SaaS) and Starburst Enterprise on Kubernetes (EKS, GKE, AKS) and bare metal, covering domain configuration, catalog registration, OIDC/SSO integration, data product governance, and full infrastructure management.
Yes. We handle SQL dialect audits, connector remapping, UDF rewrites, and staged cutover with workload replay testing, including migrations from PrestoSQL, Facebook PrestoDB, and Ahana environments with 150+ production queries.
We validate the new version in a staging cluster, execute a pre-upgrade compatibility checklist, then perform rolling coordinator and worker replacement with active query draining, followed by workload replay tests to confirm throughput and correctness.
Yes. We configure column-level masking, row-level filters, and dynamic PII anonymization using Starburst access control, Apache Ranger, or OPA, aligned to HIPAA, GDPR, PCI-DSS, and SOC 2 requirements with full audit trail documentation.
Yes. We configure Starburst Data Products end-to-end, covering semantic layer definition, dataset certification, access policy enforcement, and integration with Datahub, Collibra, and Alation, including data mesh domain ownership alignment.
Yes. Ksolves delivers Starburst enterprise support to clients across the USA and India, with 24/7 coverage across all time zones, dedicated account management, and quarterly business reviews for every engagement.
