24/7 Apache Superset Support
Keep Dashboards Fast
and Available
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 Superset Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Apache Superset Support Packages
Choose the Apache Superset support contract that matches how critical your Superset environment is and how fast you need a response when dashboards go down or queries break.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Running Apache Superset at Scale
Enterprises across fintech, healthcare, retail, and SaaS trust Ksolves Apache Superset support services to deliver stable dashboard performance, reliable database connectivity, and scalable BI 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 Superset Support Services to Keep Your Full BI Stack Running at Scale
One team handles your entire Apache Superset lifecycle from initial deployment and database integration to dashboard tuning and Apache Superset 24/7 support, so your analytics stays available when it matters.
24/7 Apache Superset Operations
Your dedicated Superset ops team keeps your environment running around the clock so your data and analytics teams stay focused on insights, not incidents.
- Superset application health monitoring covering web server, Celery workers, and metadata database
- Redis cache and Celery broker lifecycle management to prevent async query and alert failures
- Database connection pool monitoring across all SQLAlchemy-connected data sources
- Scheduled report and alert pipeline health checks with failure notification and retry management
- Monthly health reviews covering query volumes, cache hit rates, and dashboard load trends
Superset Monitoring and Support Across Every Layer
Every layer of your Superset stack is covered, including application, cache, workers, and connected databases, with structured diagnostic reports on a defined cadence.
- Prometheus and Grafana dashboards covering Superset web server response times and error rates
- Celery worker queue depth and task failure rate alerting routed to Slack, PagerDuty, or OpsGenie
- Redis cache hit rate and memory utilization tracking to detect saturation before it impacts dashboards
- SQLAlchemy connection pool exhaustion monitoring per data source with auto-alerting on threshold breach
- Metadata database health tracking covering query latency, table bloat, and connection count
Root-Cause Fixes for Slow Dashboards, Query Timeouts, and Cache Failures
We fix Superset performance at the query, cache, and configuration layers. Every Apache Superset support and maintenance engagement includes full documentation and validated baselines.
- Dashboard load time analysis identifying expensive chart queries, missing filters, and excessive data fetching
- SQL Lab query optimization covering missing indexes, unoptimized joins, and result set reduction
- Redis cache configuration tuning, including TTL policies, eviction strategy, and per-chart cache control
- Async query execution tuning via Celery worker scaling and queue prioritization
- Database-level query pushdown optimization for Presto, Trino, Hive, Druid, and ClickHouse connections
Production Superset Handover, Fully Documented
Fresh Superset deployment or legacy BI migration delivered production-ready with runbooks, backed by Enterprise Superset Support from architecture design through final handover.
- Superset architecture design covering metadata database selection, cache layer, worker topology, and load balancing
- Docker and Kubernetes deployment using official Helm charts with production-grade resource limits and health probes
- Multi-database connection setup covering PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, Hive, Trino, and ClickHouse
- OAuth2, LDAP, and SAML authentication integration with role-based access control mapped to business teams
- Dashboard and dataset migration from Tableau, Looker, or legacy BI tools with chart parity validation
- Celery worker and Redis deployment for async query execution, scheduled reports, and alert delivery
Zero Downtime Upgrades and BI Migration
Superset version upgrades, metadata database migrations, and BI platform replacements executed with full validation before cutover. Our Apache Superset support services practice covers every transition path.
- Pre-upgrade audit covering deprecated configs, API changes, and dashboard compatibility across versions
- Metadata database schema migration using Superset CLI with rollback validation before cutover
- Docker image upgrade with Celery worker restart sequencing and Redis cache flush management
- Legacy BI migration covering dashboard recreation, dataset remapping, and user permission translation
- Post-upgrade validation covering dashboard render times, SQL Lab connectivity, and alert delivery
Every Layer Secured. Audit-Ready Always.
Authentication, authorization, and data access controls across your entire Superset environment without impacting dashboard or query performance.
- Row-level security rule configuration per dataset, mapped to user roles and team boundaries
- OAuth2, SAML, and LDAP integration with Flask-AppBuilder role mapping for fine-grained access control
- TLS enforcement for the Superset web server and all database connection strings stored as environment secrets
- Column-level data masking configuration for PII fields in sensitive datasets
- CVE monitoring and patch advisory for Superset, Flask, SQLAlchemy, and all Python dependencies with remediation SLAs
- Audit logging for dashboard access, SQL Lab queries, and dataset changes for SOC 2 and HIPAA evidence
Through the Client's Lens
Why Ksolves Is a Trusted Enterprise Superset Support Company for Global Teams?
From dashboard performance failures and Celery worker crashes to SSO integration and cross-version migrations, Ksolves delivers Apache Superset support with SLA-backed response times and proven production expertise across the full Superset stack.
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 Superset
As a trusted Apache Superset support and maintenance company in the USA, Ksolves tailors support around your query volumes, user scale, compliance requirements, and data source complexity.
Telecom
Network performance dashboards, CDR analytics, and real-time KPI visualization with async query tuning for high-volume reporting.
Healthcare
HIPAA-compliant Superset deployments for clinical analytics and patient outcome dashboards with row-level security and audit logging.
E-commerce
Customer behavior dashboards, conversion funnel analytics, and inventory reporting with Redis cache tuning for peak traffic.
Fintech
Transaction analytics, fraud monitoring dashboards, and regulatory reporting with column-level masking and audit-ready access logs.
Entertainment
Content performance dashboards and audience analytics with async query execution for audience-scale data volumes.
Manufacturing
Production throughput dashboards, equipment performance tracking, and supply chain analytics connected to time-series and ERP data sources.
Retail
POS performance dashboards, loyalty analytics, and store-level KPI reporting with multi-tenant row-level security across regional teams.
Banking and Financial Services
Regulatory reporting dashboards and risk analytics with SAML SSO, role-based access, and SOC 2-ready audit logging.
Logistics and Supply Chain
Shipment tracking dashboards and carrier performance analytics with scheduled report delivery to operations teams.
Technology and SaaS
Product analytics, usage dashboards, and billing visualization with per-tenant dataset isolation and SLO-bound dashboard availability monitoring.
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, and 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, and 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 an Apache Superset support partner.
Ksolves Apache Superset support covers 24×7 application and worker health monitoring, database connection management, dashboard performance tuning, security configuration, version upgrades, BI migration, and root cause analysis for every critical incident.
Slow dashboards are almost always caused by unoptimized queries, missing Redis caching, or a lack of async execution. Ksolves audits chart query plans, configures per-chart caching, and enables Celery-based async execution to restore fast load times.
Failed reports are typically caused by Celery worker crashes, Redis broker disconnection, or misconfigured notification settings. Ksolves diagnoses through Celery logs and broker health checks, restores worker stability, and validates the full alert delivery pipeline.
Yes. Dashboard and dataset metadata are preserved in the metadata database across upgrades. Ksolves performs a pre-upgrade audit, runs the CLI schema migration, and validates all dashboards and connections before removing the rollback option.
Apache Superset is a fully open-source BI platform with no licensing or per-seat fees that connects directly to your existing databases via SQLAlchemy. Ksolves helps teams migrate from commercial BI tools to Superset while maintaining full dashboard parity.
Ksolves configures OAuth2, SAML, or LDAP authentication, implements row-level security per dataset, applies column-level masking for PII fields, enforces TLS on all connections, and structures audit logs for SOC 2 and HIPAA compliance.
Yes. Ksolves offers structured Apache Superset support contracts with defined SLA tiers covering critical incident response, scheduled maintenance, version upgrades, and proactive health monitoring — customized to your environment and compliance requirements.
Ksolves configures SQLAlchemy connection strings for all major sources, including Snowflake, BigQuery, Redshift, Hive, Trino, Presto, ClickHouse, PostgreSQL, and MySQL, with connection pool tuning and query caching enabled per source.
Ksolves defines RLS filter clauses per dataset, maps them to user roles via the Superset security manager, and validates that each user sees only their authorized data. For SSO environments, roles are derived automatically from identity provider group attributes.
Yes. Ksolves is a trusted Apache superset support and maintenance company in the USA with 24×7 global coverage and US-hours availability. European clients under GDPR receive compliant deployments and audit logging. Critical incident SLA: 30-minute acknowledgment and 2-hour resolution.
