24/7 Apache Pinot Support
Keep Your Cluster Stable,
Monitored, & Query-Ready
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 Pinot Support Services Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Apache Pinot Support Services Packages
Every Apache Pinot support contract is designed around a specific operational reality. Choose the plan that matches the criticality of your real-time OLAP cluster and how quickly you need us to respond when something breaks.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Running Apache Pinot at Scale
Across fintech, media, e-commerce, and adtech, enterprises relying on Apache Pinot enterprise support trust Ksolves' AI-First approach to deliver sub-second query latency, reduced cluster incidents, and scalable real-time OLAP infrastructure.
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.
Apache Pinot Support Services to Keep Your Real-Time Analytics Infrastructure Fast and Always Query-Ready
From initial cluster setup to Star-Tree index optimisation and 24x7 managed operations, one team handles your entire Apache Pinot lifecycle.
24/7 Managed Apache Pinot Cluster Operations
Ksolves monitors and manages your Apache Pinot environment around the clock, covering Controller, Broker, Server, and Minion health so your real-time analytics stack stays available and accurate.
- ZooKeeper and Apache Helix state validation for leader election failures and stale instance states
- Segment replication checks for numReplicas compliance and under-replicated segment detection
- Kafka consumer lag monitoring via pinot_server_realtime_consumed_offset_lag with per-partition alerting
- Minion task health monitoring for RealtimeToOfflineSegmentsTask, MergeRollupTask, and PurgeTask
- Monthly reviews covering table growth, segment trends, query latency, and index utilization
Built for Production Query Volumes from Day One
Ksolves designs and deploys Apache Pinot cluster architecture, table schemas, ingestion pipelines, and index strategies aligned to your actual query patterns and data volumes.
- Cluster topology design covering Controller, Broker, Server, Minion, and ZooKeeper ensemble sizing
- Real-time table setup with LLC Kafka integration and streamConfigs tuning
- Offline table ingestion from S3, GCS, and HDFS using native batch, Spark, or MapReduce
- Hybrid table configuration with time boundary alignment between offline and real-time segments
- Star-Tree index, inverted, range, bloom filter, and FST index design per table and query pattern
- Kubernetes deployment via Helm chart with PersistentVolumeClaims and ZooKeeper coordination
Zero-Downtime Upgrades. Clean Migrations.
Every Apache Pinot release carries breaking changes that can silently corrupt query results. Ksolves plans, tests, and executes every transition with full regression coverage.
- Pre-upgrade audit covering deprecated table configs, schema changes, and ZooKeeper compatibility
- Rolling upgrades in Controller, Broker, Server, and Minion sequence with health validation at each step
- Multi-stage query engine (v2) migration with regression testing across production workloads
- On-premises to Kubernetes migration with deep storage reconfiguration and Helix state preservation
- Legacy OLAP migration from Apache Druid, ClickHouse, or Presto with schema mapping
- Post-upgrade validation covering query latency regression and segment replication health
Every Millisecond Recovered. Every Scan Eliminated.
Slow Apache Pinot queries trace back to missing indexes, unoptimized routing, or JVM pressure. Ksolves Apache Pinot support services diagnose performance at the source using EXPLAIN PLAN and deliver measurable latency improvements.
- Star-Tree index design and tuning for GROUP BY aggregations with dimension split order optimization
- Inverted index placement on high-cardinality filter columns to reduce numEntriesScannedInFilter
- Range index and bloom filter configuration to eliminate full segment scans on partitioned tables
- Segment partition config using columnPartitionConfig for reduced Broker scatter-gather overhead
- Query routing tuning with adaptive server selection for latency-sensitive workloads
- JVM heap and GC tuning on Server nodes to reduce p99 latency under concurrent segment load
Full Visibility Across Every Pinot Layer.
Ksolves sets up end-to-end Apache Pinot monitoring across query performance, ingestion health, segment replication, and Minion task execution with alerting routed to your existing incident tools.
- Grafana dashboards covering query latency (p50, p95, p99), numDocsScanned, and Broker request rates
- Kafka consumer lag alerting per topic-partition routed to PagerDuty, Slack, or OpsGenie
- Segment replication and deep storage download failure monitoring per table and server
- Minion task queue monitoring for execution time, queue depth, and failure counts
- JVM metrics via JMX exporter covering heap usage, GC pause duration, and thread count
- Log aggregation via Grafana Loki or ELK Stack for query error and ingestion failure analysis
Secured at Every Endpoint. Audit-Ready Always.
Ksolves configures the full Apache Pinot security stack across authentication, encryption, tenant isolation, and secrets management, mapped to compliance frameworks with quarterly reviews.
- TLS on Controller REST API, Broker query endpoint, Server netty port, and inter-component gRPC channels
- OIDC and OAuth2 via Pinot's MultiTenantAuthenticator for Management UI and API access control
- Table-level and column-level access control using Pinot's authorization plugin for multi-tenant isolation
- Tenant isolation via Broker and Server tenant assignment for compute and data separation
- Secrets migration from hard-coded credentials to Kubernetes Secrets, HashiCorp Vault, or AWS Secrets Manager
- Compliance mapping for GDPR and HIPAA covering retention policies, access control, and encrypted-in-transit verification
Through the Client's Lens
Why Ksolves Is a Trusted Apache Pinot Support Vendor for Global Teams?
Our experts have debugged ZooKeeper failures, optimized Star-Tree indexes, and managed Apache Pinot support contracts across different industries. That experience is what makes Ksolves the right Apache Pinot enterprise support partner.
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 Pinot
Every industry runs Apache Pinot differently, and Ksolves tailors managed support services around its unique query volume, ingestion rate, compliance requirements, and OLAP cluster topology demands.
Telecom
CDR analytics and network KPI dashboards at carrier scale. Ksolves manages Pinot cluster maintenance and sub-second query latency.
Healthcare
HIPAA-compliant Pinot for patient event analytics and clinical KPI reporting. Per-table access controls and TLS enforcement under a formal SLA commitment.
E-commerce
Product catalog analytics and inventory reporting on Star-Tree index optimization. Ksolves keeps sub-second query performance consistent during peak traffic.
Fintech
Transaction analytics and fraud dashboards where zero data loss and sub-second latency are non-negotiable. Ksolves covers ingestion SLO protection 24/7.
Media and Advertising
Impression ingestion and audience segmentation at multi-billion-row scale. Ksolves resolves consumer lag and monitors segment health continuously.
Manufacturing
IoT sensor analytics and MES KPI dashboards on Pinot managed by Ksolves. Minion-based compaction and retention policies keep storage costs controlled.
Retail
POS analytics and loyalty aggregations on hybrid table configurations. Ksolves keeps offline batch and real-time streaming data aligned at any scale.
Banking and Financial Services
Encrypted Pinot deployments with tenant-isolated topologies for payment analytics. Ksolves hardens every cluster endpoint with TLS and OAuth2.
Logistics and Supply Chain
Shipment analytics and carrier performance on Kafka-backed Pinot clusters. Ksolves covers consumer lag, segment health, and query latency per table.
Technology and SaaS
Multi-tenant product analytics across AWS, GCP, and Azure on Pinot managed by Ksolves. Kubernetes Helm, CI/CD schema automation, and cluster governance included.
Ksolves: Insights from Enterprise Experts
Explore the latest real-time OLAP architecture trends, Apache Pinot operational strategies, and expert guidance for building reliable, high-throughput, and production-ready analytics cluster 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.
Scalable Hadoop Big Data Platform for a UAE Healthcare Network
Challenge
Legacy systems hit capacity, have no real-time processing, no unified analytics, and clinical documents are entirely excluded from the data environment.
Solution
Proposed an HDFS-based platform with unified ingestion for structured and unstructured data, batch + real-time processing, a governed analytics layer, and a sequenced AI/ML readiness roadmap.
10X
Capacity Headroom-AI/ML Ready Foundation
HDP to Apache Bigtop Migration with DR Setup
Challenge
A 50+ node HDP 2.6.3 cluster hosting 200 TB hit end-of-life, no vendor patches, no upgrade path, and a single data center with zero disaster recovery.
Solution
Blue-green migration to Apache Bigtop on new hardware running parallel to the live cluster, plus cross-site DR across Bangalore and Hyderabad. Zero downtime throughout.
200 TB
Migrated: Zero Downtime, Zero Data Loss
Real-Time IoT Ingestion Platform-NiFi, Kafka & Cassandra for Telecom
Challenge
A North American telco generating 3 TB+ daily from millions of devices had no scalable ingestion, queues overflowed, data was permanently lost, and the NOC worked on hours-old telemetry.
Solution
NiFi collects across all device protocols → Kafka guarantees delivery → Cassandra serves live NOC dashboards → HDFS handles historical analytics independently.
3 TB+
Daily Ingest: Zero Data Loss, Live NOC in Seconds
Real-Time Burst Fraud Detection for a Telco, Kafka & Spark
Challenge
Bots flooded the marketing pipeline at 150K events/sec, wasting campaign spend and corrupting customer data.
Solution
Kafka + Spark 30-second tumbling window flags any Device_ID exceeding 20 requests and fires an instant suppress command.
30s
Fraud Suppressed: 5B Daily Events
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
Scalable Hadoop Big Data Platform for a UAE Healthcare Network
Challenge
Legacy systems hit capacity, have no real-time processing, no unified analytics, and clinical documents are entirely excluded from the data environment.
Solution
Proposed an HDFS-based platform with unified ingestion for structured and unstructured data, batch + real-time processing, a governed analytics layer, and a sequenced AI/ML readiness roadmap.
10X
Capacity Headroom-AI/ML Ready Foundation
HDP to Apache Bigtop Migration with DR Setup
Challenge
A 50+ node HDP 2.6.3 cluster hosting 200 TB hit end-of-life, no vendor patches, no upgrade path, and a single data center with zero disaster recovery.
Solution
Blue-green migration to Apache Bigtop on new hardware running parallel to the live cluster, plus cross-site DR across Bangalore and Hyderabad. Zero downtime throughout.
200 TB
Migrated: Zero Downtime, Zero Data Loss
Real-Time IoT Ingestion Platform-NiFi, Kafka & Cassandra for Telecom
Challenge
A North American telco generating 3 TB+ daily from millions of devices had no scalable ingestion, queues overflowed, data was permanently lost, and the NOC worked on hours-old telemetry.
Solution
NiFi collects across all device protocols → Kafka guarantees delivery → Cassandra serves live NOC dashboards → HDFS handles historical analytics independently.
3 TB+
Daily Ingest: Zero Data Loss, Live NOC in Seconds
Real-Time Burst Fraud Detection for a Telco, Kafka & Spark
Challenge
Bots flooded the marketing pipeline at 150K events/sec, wasting campaign spend and corrupting customer data.
Solution
Kafka + Spark 30-second tumbling window flags any Device_ID exceeding 20 requests and fires an instant suppress command.
30s
Fraud Suppressed: 5B Daily Events
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
Frequently Asked Questions
Everything you need to know before signing an Apache Pinot support partner.
Usually, a missing Star-Tree index, no inverted index on filter dimensions, or full segment scans are visible in EXPLAIN PLAN. Ksolves Apache Pinot performance tuning service designs missing indexes and configures partition pruning to resolve latency at the source.
Lag spikes when Server nodes exhaust the JVM heap or Kafka partitions exceed the LLC thread capacity. Ksolves instruments lag via pinot_server_realtime_consumed_offset_lag, reconfigures heap and build concurrency, and sets alerting thresholds to protect realtime SLOs.
Usually misconfigured deep store credentials, incorrect segmentStoreUri, or a Helix state stuck in OFFLINE after a ZooKeeper timeout. Ksolves Apache Pinot cluster maintenance, validates deep store connectivity, and triggers segment reload via the Controller REST API.
Caused by ZooKeeper session timeout misconfiguration or a Helix LEADER resource stuck in an invalid state. Ksolves reviews ZooKeeper ensemble settings and force-triggers Helix leader re-election via the Controller REST API.
Requires enabling pinot.multistage.engine.enabled in Broker config and regression-testing all production queries. Ksolves Apache Pinot professional services runs EXPLAIN PLAN comparison, rewrites incompatible queries, and validates JOIN execution before cutover.
Ksolves Apache Pinot enterprise support covers 24×7 cluster maintenance, Kafka consumer lag response, Star-Tree index tuning, version upgrades, ZooKeeper and Helix management, TLS and OAuth2 hardening, Minion task management, and a post-incident report for every critical event.
Yes. Every Apache Pinot support contract includes a 30-minute acknowledgment and a 2-hour resolution for critical incidents. Apache Pinot SLA support applies 24×7 across all geographies without surcharge.
Ksolves Apache Pinot managed support covers bare-metal Linux, AWS EC2, GCP, Azure, Kubernetes via Helm chart, EKS, AKS, GKE, OpenShift, and Rancher.
Yes. Our Apache Pinot performance tuning service covers full Star-Tree index design, including dimension split order, maxLeafRecords, and function list selection validated using EXPLAIN PLAN. Inverted, range, bloom filter, and sorted index configurations are included.
Yes. Ksolves is an Apache Pinot consulting company delivering Apache Pinot professional services across the USA with US-hours and 24×7 global coverage. US clients receive a formal Apache Pinot support contract, a dedicated Jira portal, named engineer access at the Platinum tier, and quarterly architecture reviews.
