Apache Kylin
Support Services
Keep Your OLAP Cubes
Running at Full Speed
Active Contributor to Open Source
100+
Tickets
Contributed
30+
Open
Tickets
17+
Total
Contributors
Apache Kylin Support Services Built to Meet the World's Strictest Data Standards
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
En(AI)bling™ Success for Industry Leaders
Apache Kylin Support Packages
Cuboid explosions stall builds and inflate storage costs. Support plans are scaled to match the cost of that failure to your business, backed by clearly defined Apache Kylin SLA support. We provide customized support plans tailored to your specific business requirements.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Running Apache Kylin at Scale
Enterprises running sub-second OLAP on billions of rows rely on Ksolves for Apache Kylin managed services that keep cube builds, query routing, and metadata health running without disruption, across both HBase and Spark-based Kylin deployments
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 the 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.
End-to-End Apache Kylin Support Services
Kylin is more than a SQL layer on Hadoop. Its cube modeling, aggregation groups, build engine, and storage layer all need dedicated attention. Every layer gets covered, from daily operations to compliance audits.
Apache Kylin Setup and Configuration Support
Getting cube modeling and aggregation groups right at design time avoids most of the build time and storage issues teams run into later.
- Star schema and cube model design mapping dimensions and measures to actual query patterns
- Aggregation group configuration to control which cuboid combinations actually get built
- Build engine setup (Spark-based in Kylin 4.x/5.x) with resource allocation matched to cluster capacity
- REST Server and BI tool integration across Tableau, Power BI, and other JDBC/ODBC clients
- Initial performance baseline before production rollout
Managed Apache Kylin Support
Day-to-day operations are supported by ongoing Apache Kylin maintenance, keeping cube builds, metadata, and the storage layer healthy without disrupting live queries.
- Cube build job monitoring and failure recovery across scheduled builds
- Metadata store maintenance and backup validation
- Storage layer health checks across Parquet files or legacy HBase regions
- ZooKeeper coordination health checks for job scheduling
- Monthly health reviews covering build time trends and cuboid growth
24/7 Apache Kylin Support
Cube build failures and query routing issues get caught before they surface as a stale dashboard or a slow BI report, through continuous monitoring built for Kylin's own architecture.
- Build job status and duration tracking across all scheduled cubes
- Query routing monitoring to catch queries falling back to raw Hive/Spark scans instead of the cube
- Storage growth tracking across Parquet or HBase-backed cubes
- Alerting on build failures, metadata inconsistencies, and job scheduling delays
- Alert routing across Slack, PagerDuty, and OpsGenie with runbook links
Apache Kylin Performance Tuning Service
Slow builds and bloated cubes get fixed at the root, not patched with more cluster resources.
- Aggregation group redesign to eliminate unnecessary cuboid combinations
- Cube Planner configuration to build only the cuboids query patterns actually justify
- Global dictionary tuning for high-cardinality dimensions (Kylin 4.x/5.x)
- Parquet file sizing, or HFile sizing for legacy HBase-backed cubes
- Load testing and bottleneck isolation across the build engine, storage layer, and query engine
Apache Kylin Health Check
Hidden risk in a Kylin deployment rarely announces itself until a cube build runs for hours longer than expected or storage costs spike unexpectedly. Every deployment gets audited, assessed, and reported on to catch that risk first.
- Cube and cuboid inventory audit, flagging combinatorial explosion risk
- Aggregation group and Cube Planner configuration review
- Metadata store and storage layer reliability review
- Version and CVE exposure review against known Kylin advisories
- Written report with severity-ranked findings and projected reliability improvement
Apache Kylin Migration and Upgrade Support
Migrating from HBase-backed Kylin 3.x to the Spark-native, Parquet-based architecture in Kylin 4.x and later is a genuine architectural shift, not a routine version bump.
- Migration planning from MapReduce/HBase-based Kylin 3.x to Spark/Parquet-based Kylin 4.x or 5.x
- Cube model and metadata migration with validation against existing query results
- Global dictionary rebuild validation for dimensions carried over from legacy cubes
- Rolling upgrade orchestration to avoid extended query downtime
- Rollback planning for every migration and upgrade stage
Apache Kylin Security & Compliance
Known vulnerabilities left open in a system serving BI queries across the organization are just a matter of time before they're exploited.
- Project and cube-level access control configuration
- Kerberos integration for Hadoop-secured cluster environments
- Encryption enforcement across REST API and JDBC/ODBC client connections
- CVE monitoring and patch alerts tied to the Apache Kylin security advisory feed
- GDPR, HIPAA, and SOC 2-aligned data handling for regulated analytical workloads
Apache Kylin Expert Support & Consulting
Senior-level OLAP and cube modeling expertise is available without the hiring overhead, backed by a formal Apache Kylin support contract with clearly defined escalation paths.
- Expert guidance on cube modeling and aggregation group strategy for specific BI workloads
- Kylin 3.x versus 4.x/5.x architecture reviews for migration planning
- Capacity planning covering build cluster sizing and storage growth projections
- Support contract with dedicated engineer access and monthly reviews
- Performance profiling for cubes with unexplained build times or query fallback to raw scans
- Three tiers: Essentials (business hours), Professional (16x5), Enterprise ongoing Apache Kylin support plan (24x7)
Through the Client's Lens
Why Ksolves Is a Trusted Apache Kylin Support Partner
Apache Kylin support takes more than knowing the docs. It takes engineers who've fixed build failures, tuned aggregation groups, and migrated HBase deployments to Spark and Parquet. That's why enterprise teams choose Ksolves as their managed Apache Kylin service provider.
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 Apache Kylin
Apache Kylin powers sub-second OLAP across different industries in different ways. Ksolves builds Kylin support services around what each industry actually demands.
Telecom
Fast, pre-aggregated analysis of subscriber and network usage data at carrier scale. Ksolves manages aggregation group design and build scheduling for consistent performance.
Healthcare
HIPAA-compliant OLAP over patient and operational datasets. Ksolves manages project-level access control and Kerberos-integrated authentication.
E-Commerce
Sub-second dashboards over product and order data during peak traffic. Ksolves tunes cube design and Cube Planner configuration for seasonal surges.
Fintech
Fast, reliable OLAP over transaction and risk datasets. Ksolves manages Apache Kylin SLA support where query accuracy directly affects compliance reporting.
Manufacturing
High-volume IoT and production data pre-aggregated for operational dashboards. Ksolves manages build performance for continuous, high-volume source data.
Retail
POS and inventory data queried in real time across peak periods. Ksolves keeps Kylin performant through seasonal traffic surges.
Banking and Financial Services
Strict security and guaranteed availability for regulatory reporting cubes. Ksolves provides managed Apache Kylin service provider support across multiple jurisdictions.
Logistics and Supply Chain
Fast, pre-aggregated access to shipment and inventory data feeding operational dashboards. Ksolves manages build reliability where data freshness has direct cost implications.
Technology and SaaS
Multi-tenant analytical dashboards without dedicated OLAP engineering headcount. Ksolves provides the Apache Kylin managed services that make it sustainable.
Aviation
Deliver zero-downtime data migration and integration services that keep flight operations, crew scheduling, and maintenance data flowing without disruption.
Oil and Gas
Provide secure, phased data migration services that keep exploration, production, and pipeline monitoring data flowing without interrupting field operations.
Frequently Asked Questions
This usually comes from aggregation groups configured too broadly, generating far more cuboid combinations than the workload actually needs. Aggregation group redesign is part of every Apache Kylin support services engagement.
Slow queries are often falling back to raw Hive or Spark scans because the cube doesn’t cover the exact dimension combination being queried. This gets diagnosed and fixed as part of a cube design review.
Migration means moving from the HBase-backed, MapReduce build architecture to the Spark-native, Parquet-based one, since Kylin 4.x uses Spark as its only build engine. Metadata and cube models need to be validated carefully, not just carried over as-is.
Managed Apache Kylin support covers ongoing cube build monitoring, aggregation group tuning, metadata and storage layer maintenance, version upgrades, and incident response with full root cause analysis.
An Apache Kylin support contract includes defined SLA response times, monthly build and query health reviews, risk assessment reports, and dedicated engineer access across Essentials, Professional, and Enterprise tiers.
Storage costs are usually driven by unnecessary cuboid combinations. Cube Planner and aggregation group tuning reduce the number of cuboids actually built and stored, cutting both build time and storage footprint together.
Monitoring covers build job success and duration, query routing behavior, storage growth, and metadata consistency, tracked as part of ongoing operational support.
Ksolves is a trusted managed Apache Kylin service provider, offering setup, migration, monitoring, and expert consulting for enterprises running OLAP on Hadoop and Spark.
