24/7 Apache Druid Support
Real-Time Ingestion.
Always-On Analytics.
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
Apache Druid Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Apache Druid Support Packages
Every plan is built around a specific operational reality. Choose the plan that matches how critical your Druid cluster is and how quickly you need our engineers to respond when something goes wrong.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Like Yours
Across fintech, telecom, e-commerce, and AdTech, enterprises running Apache Druid in production share one outcome. After Ksolves took over operations, query performance improved, ingestion issues dropped, and costs became more efficient.
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.
End-to-End Apache Druid Support for Every Stage of Your Analytics Infrastructure
From initial cluster deployment to petabyte-scale real-time analytics, Ksolves handles every operational layer of your Apache Druid environment.
24/7 Apache Druid Cluster Operations
Certified engineers monitor, manage, and optimize your cluster around the clock so your team focuses on analytics, not incidents.
- Node health monitoring across Historical, Broker, Coordinator, Middle Manager, and Router
- Segment availability tracking, rebalancing, and deep storage reconciliation
- ZooKeeper quorum monitoring with failover management
- Ingestion task monitoring with failure alerting and automatic retry
- SLA-backed response with named escalation contacts and dedicated Slack access
- Monthly health reviews and capacity forecasts
Every Bottleneck Found. Every Incident Closed.
Ksolves diagnoses the root cause of slow queries and pipeline failures, and delivers a documented RCA for every critical issue.
- Query profile analysis using Broker logs and Historical node metrics
- Segment granularity, rollup, and schema tuning aligned to production query patterns
- Historical node memory and caching configuration for segment loading performance
- Ingestion task failure resolution covering Kafka Supervisor errors and schema conflicts
- Broker timeout and ZooKeeper instability diagnosis and remediation
- Prioritized findings report with severity ranking and remediation steps
Real-Time and Batch Ingestion Pipeline Management
Ksolves builds, monitors, and manages Druid ingestion pipelines across streaming and batch sources with proactive lag alerting before issues reach downstream dashboards.
- Kafka Supervisor and Amazon Kinesis setup for real-time streaming ingestion
- Native batch ingestion from S3, HDFS, GCS, and Azure Blob
- Ingestion lag monitoring with data freshness alerting for downstream SLAs
- Schema evolution management without pipeline downtime
- Rollup and partitioning configuration for optimal segment compaction and query performance
Planning Scale Without Disruption
Ksolves plans and executes scaling based on actual data volume growth and query concurrency demands, not guesswork.
- Capacity planning based on data volume projections, segment growth, and query concurrency
- Historical node scaling for increased segment serving capacity without query downtime
- Middle Manager and Indexer scaling for higher ingestion throughput during peak windows
- Tiered hot, warm, and cold storage configuration for cost-efficient data retention
- Load testing and benchmarking to validate cluster readiness before scaling events
Protected at Every Layer. Audit-Ready Always.
Ksolves configures the full Druid security stack and conducts quarterly reviews to catch configuration drift before it becomes a compliance gap.
- TLS configuration for inter-node communication and API endpoints
- LDAP and Kerberos authentication for enterprise identity provider integration
- Role-based access control at the datasource and resource level
- Audit logging with SIEM export for GDPR, HIPAA, SOC 2, and PCI-DSS
- Quarterly security posture review and policy drift remediation
Through the Client's Lens
Why is Ksolve a Trusted Choice of Global Teams for Apache Druid Enterprise Support?
Ksolves Apache Druid support services bring expert engineers with proven experience managing large-scale environments processing billions of events daily.
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 Druid
Apache Druid workloads vary across industries. Ksolves delivers expert Apache Druid support tailored to the performance, reliability, and operational needs your business cannot afford to compromise.
Telecom
Network events and CDR data leverage Apache Druid for sub-second queries and real-time analytics across high-volume telecom workloads.
Healthcare
Clinical events and patient data streams use Apache Druid for low-latency analytics across high-volume time-series datasets.
Financial Services
Transaction monitoring and risk analytics rely on Apache Druid for fast queries and consistent performance under growing workloads.
Retail
Clickstream, sales, and inventory events use Apache Druid for real-time analytics and low-latency customer insights.
Manufacturing
Sensor and telemetry streams leverage Apache Druid for scalable ingestion and real-time operational analytics.
Banking
Transaction analytics and customer dashboards run on Apache Druid for fast queries across regulated, high-volume environments.
Insurance
Claims and policy activity data leverage Apache Druid for low-latency analytics and real-time operational visibility.
Logistics and Supply Chain
Shipment and warehouse events use Apache Druid for real-time visibility and scalable analytics across distribution networks.
Pharmaceuticals and Life Sciences
Clinical and research datasets leverage Apache Druid for governed, real-time analytics and high-performance querying.
Technology and SaaS
Product telemetry and user analytics scale efficiently with Apache Druid for consistent low-latency query performance.
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 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 unavailable across GCC. 16 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.
16 TB
Daily Data: Sub-Second SLA, Zero New Hardware
Frequently Asked Questions
Everything you need to know before choosing an Apache Druid support partner.
Apache Druid is a distributed, column-oriented real-time analytics database built for sub-second OLAP queries on event-driven datasets. It pre-aggregates data at ingestion time, stores it in compressed columnar segments, and uses a scatter-gather query architecture across Historical nodes to deliver low-latency responses on billions of rows.
When your team is dealing with slow queries, ingestion failures, segment unavailability, ZooKeeper instability, or rising infrastructure costs without a clear cause. Apache Druid support services provide the deep expertise that Druid’s distributed architecture requires to operate correctly at scale.
Ksolves engineers analyze your rollup configuration, segment granularity, and Historical node caching based on your actual query patterns. Apache Druid performance tuning eliminates full-segment scans and ensures Historical nodes serve segments from memory rather than deep storage.
Yes. Druid ingestion support covers Kafka Supervisor failures, offset commit conflicts, schema evolution errors, and native batch ingestion failures across S3, HDFS, GCS, and Azure Blob. Every incident is closed with documented resolution steps and a Root Cause Analysis.
All of them. Ksolves Druid ingestion support covers Kafka Supervisor-based real-time streaming, Amazon Kinesis ingestion, and native batch ingestion from S3, HDFS, GCS, and Azure Blob. Schema evolution management and rollup configuration changes are included without pipeline downtime.
Critical incidents receive a 30-minute acknowledgement and a 2-hour resolution target across all Apache Druid support plans. Platinum customers get a dedicated escalation path with 24×7 direct access to a named Apache Druid architect.
Yes. Ksolves Apache Druid support services cover AWS, Azure, GCP, on-premises bare metal, and Kubernetes deployments. Deep storage is supported for S3, HDFS, GCS, and Azure Blob. SLAs remain consistent regardless of the deployment environment.
Yes. Ksolves Druid managed services include capacity planning and Druid cluster management based on your data volume growth and query concurrency patterns. Historical, Middle Manager, and Broker nodes can be scaled independently without query downtime.
Most commonly, a poor rollup configuration, high segment granularity, missing dimension filters, or Historical nodes reading from deep storage instead of memory. Ksolves Druid performance tuning addresses all of these through schema analysis and query context optimization.
Apache Druid outperforms traditional warehouses on real-time ingestion and high-concurrency query load, but is not designed for complex multi-table joins or transactional workloads. Ksolves Druid consulting services help teams assess where Druid fits within their broader data stack.
