24/7 StarRocks Enterprise Support
Keep Analytics Fast,
Stable, and Scalable
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
StarRocks Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
StarRocks Support Packages
Every plan is designed around a specific operational reality. Choose the StarRocks support service tier that matches how mission-critical your analytics environment is and how fast you need expert intervention when production goes down.
Standard
Advanced
Platinum
What Ksolves has Delivered for Organizations Like Yours
Enterprises trust Ksolves for StarRocks commercial support to maintain sub-second query performance, minimize downtime, and keep real-time analytics running smoothly.
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.
StarRocks 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 StarRocks lifecycle.
StarRocks Managed Support Services for Cluster Stability
Ksolves takes full operational ownership of your StarRocks environment so your team stays focused on analytics.
- Monitor FE and BE nodes for JVM heap pressure, compaction lag, and query queue depth
- Health checks across tablet replicas, disk utilization, and BDB JE metadata sync
- Automated alerts for node failures, resource saturation, and ingestion backlog
- Lifecycle management covering rolling restarts, maintenance windows, and patch coordination
- 30-minute SLA response for P1 production query incidents
- Post-incident reviews and runbook documentation after every major outage
Full-Stack StarRocks Visibility Across Every Query Layer
Full-stack instrumentation from BE metrics to Prometheus exporters and Grafana dashboards for complete cluster visibility.
- StarRocks metrics exporters integrated with Prometheus and Grafana
- Dashboards tracking active queries, memory usage, CPU time, and BE read latency
- Query profile analysis to surface resource-heavy queries and full-table scan patterns
- Alerting via Alertmanager or PagerDuty for FE downtime, slow queries, and compaction lag
- Distributed tracing for data lake federation bottleneck detection
- APM integration with Datadog, New Relic, and Splunk for consolidated observability
StarRocks Query Optimization and MPP Performance Engineering
We trace every StarRocks performance issue to its root cause and fix it, no workarounds.
- EXPLAIN analysis to resolve predicate push-downs, cross-join issues, and join ordering
- Materialized view design and refresh strategy tuning for high-frequency queries
- CBO statistics refresh and colocate join configuration for large fact table workloads
- JVM heap tuning for FE nodes and BE memory pool config to eliminate OOM failures
- Partition pruning, bucket optimization, and tablet distribution tuning for MPP workloads
- Compaction policy tuning to reduce write amplification and maintain query performance
Production-Ready StarRocks Deployment and Catalog Federation Setup
We deploy and architect StarRocks environments that are Kubernetes-native, catalog-federated, and fully documented.
- Deploy StarRocks Enterprise on EKS, GKE, and AKS with HA FE nodes and auto-scaling BE pools
- External catalog setup connecting Hive, Iceberg, Delta Lake, and cloud sources (S3, GCS, ADLS)
- Table model design covering Primary Key, Aggregate, Duplicate Key, and Unique Key types
- Real-time ingestion setup using Stream Load, Routine Load, and Broker Load
- RBAC configuration for database, table, and column-level permissions
- Full deployment documentation, ADRs, and team handoff training
Zero-Downtime StarRocks Upgrades and Managed Migration
Ksolves manages the full StarRocks upgrade and migration lifecycle from compatibility audits to cutover, ensuring zero query disruption.
- Pre-upgrade audits covering BE/FE version compatibility and client driver versions
- Rolling upgrades using staged BE and FE node replacement with active query draining
- Migration from Doris, ClickHouse, or Druid with SQL dialect validation and table model redesign
- Hive-to-Iceberg migration with partition evolution and time-travel enablement
- Post-upgrade regression testing using historical query workload replay
- Shared-nothing to shared-data architecture migration for cloud-native deployments
StarRocks Security Hardening and Compliance Support
We secure your StarRocks environment end-to-end covering TLS, SSO, column-level masking, and audit trails for SOC 2, HIPAA, and GDPR.
- TLS and mTLS for FE-to-BE and client-to-FE traffic with certificate rotation
- LDAP, Active Directory, and SAML/OIDC SSO across StarRocks web UI and JDBC/ODBC clients
- Column-level and row-level security using StarRocks access control and Apache Ranger
- Dynamic data masking for PII fields aligned to HIPAA, PCI-DSS, and GDPR
- CVE monitoring and emergency patch deployment for StarRocks storage engine components
- Audit log enablement and SIEM integration with Splunk, Elastic, and Sumo Logic
Through the Client's Lens
Why is Ksolves a Trusted Choice of Global Teams for StarRocks Support?
Query latency, compaction backlogs, and tablet replica issues can impact StarRocks at scale. Ksolves delivers StarRocks commercial support to keep clusters stable, queries fast, and analytics reliable.
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 StarRocks
Ksolves delivers StarRocks support services tailored to high-volume ingestion, real-time analytics, and enterprise data requirements across industries.
Telecom
Real-time CDR analytics on StarRocks enterprise support using partition pruning, colocate joins, and Duplicate Key tables for sub-second query SLAs.
Healthcare
HIPAA-compliant column masking, row-level access control, and audit logging across patient data catalogs using StarRocks managed support and Apache Ranger.
E-commerce
Real-time behavior analytics and inventory forecasting using StarRocks Stream Load, Primary Key tables, and materialized view acceleration with dedicated enterprise support.
Fintech
Fraud detection and regulatory reporting pipelines using StarRocks MPP engine, Delta Lake catalog integration, and PCI-DSS dynamic data masking with managed support services.
Entertainment and Media
Content recommendation pipelines joining S3 clickstream and subscriber data via StarRocks external catalogs, CBO-optimized colocate joins, and expert support services.
Manufacturing
IoT and ERP data federation using StarRocks Routine Load and Broker Load for predictive maintenance analytics with 24/7 managed support.
Retail
Supply chain and promotional analytics connecting Hive, Iceberg, and S3 tables through StarRocks external catalog with materialized view acceleration and enterprise support.
Banking and Financial Services
GDPR and SOC 2-compliant audit trails, dynamic data masking, and RBAC across StarRocks multi-tenant environments with dedicated managed support services.
Logistics and Supply Chain
Real-time route optimization by federating GPS streams and warehouse inventory through StarRocks Routine Load and Aggregate tables with 24/7 support.
Technology and SaaS
Internal data products for usage telemetry and customer health scoring using StarRocks Aggregate and Primary Key tables backed by enterprise support services.
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 StarRocks support partner.
Ksolves provides end-to-end StarRocks support including 24/7 managed operations, query performance tuning, real-time ingestion troubleshooting, version upgrades, security hardening, and compliance implementation for StarRocks Enterprise and open-source deployments with SLA-backed response times.
We use EXPLAIN to identify missing predicate push-downs, suboptimal join ordering, and colocate join misconfigurations, then audit CBO statistics, partition pruning, and materialized view coverage to resolve regressions with targeted config changes.
Yes. We profile memory usage at query and task level using BE metrics, identify misconfigured BE memory limits or FE JVM heap pressure, and implement memory pool adjustments and compaction policy tuning to prevent recurrence.
Yes. Ksolves supports StarRocks Enterprise and open-source on Kubernetes (EKS, GKE, AKS) and bare metal, covering FE/BE node management, external catalog setup, real-time ingestion pipelines, and RBAC configuration.
Yes. We manage SQL dialect audits, table model redesign (Primary Key, Aggregate, Duplicate Key), ingestion pipeline remapping, and staged cutover with workload replay testing for environments with 200+ production queries.
We validate the new version in staging, execute a pre-upgrade compatibility checklist for BE/FE versions, then perform rolling node 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 StarRocks access control and Apache Ranger, aligned to HIPAA, GDPR, PCI-DSS, and SOC 2 with full audit trail documentation.
Yes. Ksolves delivers StarRocks enterprise support across the USA, India, and Europe with 24/7 coverage, dedicated account management, and quarterly business reviews for every engagement.
Yes. We design and tune materialized views including sync vs async refresh strategy, partition-level refresh for large datasets, and query rewrite validation to ensure the optimizer selects the correct view for production workloads.
