24/7 Apache StreamSets Support
Keep Data Pipelines Running
Smoothly
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 StreamSets Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Apache StreamSets Support Packages
Choose the StreamSets support contract that matches how critical your pipeline environment is and how fast you need a response when data stops flowing.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Running Apache StreamSets at Scale
Enterprises across fintech, healthcare, telecom, and SaaS trust Ksolves Apache StreamSets enterprise support to deliver stable pipeline operations, reliable connector performance, and scalable data integration 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 StreamSets Support Services to Keep Your Full Data Pipeline Stack Running at Scale
One team handles your entire StreamSets lifecycle, from pipeline design and connector configuration to drift management and StreamSets 24x7 support, so data keeps flowing when your business depends on it.
24/7 Apache StreamSets Operations
Your dedicated StreamSets ops team monitors and manages your pipeline environment around the clock so data engineering teams stay focused on building, not firefighting.
- StreamSets Data Collector health monitoring covering pipeline status, runner threads, and JVM memory
- Pipeline error record monitoring with threshold alerting and automatic retry configuration
- Connector lifecycle management across Kafka, JDBC, S3, HDFS, Snowflake, and Salesforce origins and destinations
- Control Hub pipeline deployment and job management across multi-SDC environments
- Monthly health reviews covering pipeline throughput, error rates, and data drift incidents
Full-Stack StreamSets Pipeline Observability
Every pipeline, connector, and worker thread is instrumented for visibility with structured diagnostic reports delivered on a defined cadence.
- Prometheus-based scraping of StreamSets JMX metrics covering pipeline throughput and stage error rates
- Grafana dashboards tracking record input/output rates, batch processing times, and pipeline idle events
- Control Hub job status alerting routed to Slack, PagerDuty, or OpsGenie with pipeline runbooks
- Error record and error pipeline monitoring with record count alerting per origin and destination
- SDC cluster mode and standalone mode health tracking covering worker thread saturation and memory pressure
Root-Cause Fixes for Pipeline Bottlenecks, Throughput Drops, and Memory Pressure
We fix StreamSets performance at the pipeline, stage, and JVM layers. Every streamsets support and maintenance engagement includes full documentation and validated throughput baselines.
- Pipeline stage profiling to identify slow processors, backpressure sources, and thread contention
- Batch size and thread count tuning per pipeline class for optimal throughput without memory overrun
- JDBC origin query optimization covering fetch size, offset column indexing, and incremental mode tuning
- Kafka consumer group lag reduction through partition assignment tuning and consumer thread scaling
- JVM heap and garbage collection tuning for SDC worker processes handling high-volume pipeline loads
Production Pipeline Handover, Fully Documented
Fresh StreamSets deployment or legacy ETL migration delivered production-ready with runbooks, backed by enterprise Apache StreamSets support from architecture design through final handover.
- StreamSets architecture design covering SDC topology, Control Hub setup, and pipeline deployment strategy
- Docker and Kubernetes deployment of StreamSets Data Collector with health probes and resource limits
- Pipeline design covering origins, processors, destinations, and error handling stages
- Drift synchronization configuration for schema change detection across JDBC and CDC-based pipelines
- Legacy ETL migration from Informatica, Talend, or custom scripts to StreamSets pipeline equivalents
- Control Hub job scheduling, pipeline versioning, and multi-environment promotion workflow setup
Zero Data Loss Upgrades and Pipeline Migration
StreamSets version upgrades, SDC migrations, and ETL platform transitions are executed with full validation before cutover. Our streamsets support and maintenance practice covers every transition path.
- Pre-upgrade audit covering deprecated stages, connector API changes, and pipeline compatibility
- Rolling SDC upgrade with pipeline replay validation and offset checkpoint preservation
- Stage library upgrade and compatibility matrix validation across all active pipeline connectors
- Legacy ETL to StreamSets migration with pipeline equivalence testing and record count verification
- Post-upgrade benchmarking covering pipeline throughput, error rates, and drift detection accuracy
Every Pipeline Layer. Audit-Ready Always.
Authentication, encryption, and data access controls across your entire StreamSets environment without impacting pipeline throughput or availability.
- LDAP and SAML authentication configuration for StreamSets Data Collector and Control Hub access
- TLS encryption for SDC REST API, Control Hub communication, and all pipeline connections
- Credential store integration using Vault, AWS Secrets Manager, or Azure Key Vault for pipeline credentials
- Field-level data masking and encryption processor configuration for PII handling in regulated pipelines
- CVE monitoring and patch advisory for StreamSets SDC and all installed stage libraries with remediation SLAs
- Audit logging for pipeline configuration changes and data access for SOC 2 and HIPAA evidence
Through the Client's Lens
Why Ksolves Is a Trusted Streamsets Managed Service Provider for Global Teams?
Ksolves provides StreamSets managed support services for everything from pipeline failures and data drift to security integrations and complex ETL migrations, with SLA-backed response times and expert guidance.
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 StreamSets
As a trusted StreamSets support vendor in the USA, Ksolves tailors support around your pipeline volume, connector complexity, compliance requirements, and data latency demands.
Telecom
CDR ingestion, network event streaming, and signaling data delivery to Kafka and HDFS with pipeline throughput tuned for carrier-grade volumes.
Healthcare
HIPAA-compliant pipelines for patient data ingestion and JSON and XML record processing from EMR systems with field-level PII masking and audit-ready error logging.
E-commerce
Order event ingestion, customer behavior data delivery, and inventory sync pipelines with Kafka origins and Snowflake bulk loader destination tuning.
Fintech
Transaction data ingestion and payment event pipelines with zero record loss configuration, complete error pipeline routing, and encrypted connections for compliance.
Entertainment
User engagement event ingestion and recommendation data feeds with multithreaded pipeline scaling for audience-driven volume surges.
Manufacturing
Shop floor IoT sensor ingestion and MES system event pipelines into data lakes with custom processor-based data quality checks and error pipeline routing.
Retail
POS transaction ingestion, loyalty data pipelines, and customer segmentation feeds with JDBC CDC-based change tracking and StreamSets drift detection.
Banking and Financial Services
Regulatory data pipelines and core banking integration with Vault-managed credentials, encrypted connections, and SOC 2-ready audit logging.
Logistics and Supply Chain
Shipment event ingestion, carrier data integration, and WMS feeds with pipeline health monitoring and error record alerting for SLA-bound delivery.
Technology and SaaS
Product event ingestion, billing data pipelines, and multi-tenant data integration across AWS, GCP, and Azure with per-pipeline isolation and Control Hub throughput 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.
HDP to Apache Bigtop Migration with Disaster Recovery
Challenge
HDP 2.6.3 reached end of life, leaving 180–190 TB of live data exposed with no upgrade path and zero DR capability.
Solution
Blue-green migration to Apache Bigtop with cross-site DCDR across Bangalore and Hyderabad, zero downtime, zero data loss.
200 TB
Migrated With Zero Downtime
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
HDP to Apache Bigtop Migration with Disaster Recovery
Challenge
HDP 2.6.3 reached end of life, leaving 180–190 TB of live data exposed with no upgrade path and zero DR capability.
Solution
Blue-green migration to Apache Bigtop with cross-site DCDR across Bangalore and Hyderabad, zero downtime, zero data loss.
200 TB
Migrated With Zero Downtime
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 StreamSets support partner.
Ksolves streamsets managed support covers 24×7 pipeline and SDC health monitoring, connector lifecycle management, error record handling, performance tuning, security hardening, version upgrades, ETL migration, and root cause analysis for every critical pipeline incident.
Silent record loss is almost always caused by misconfigured error handling stages, routing bad records to discard instead of an error pipeline, or JDBC offset checkpoints falling behind during peak load. Ksolves audits error configuration, implements proper routing, and adds record count alerting to catch drops before they affect downstream systems.
Low throughput is typically caused by undersized batch configurations, Kafka consumer lag from insufficient threads, or destination write bottlenecks. Ksolves profiles stage-level processing times, tunes batch size and thread counts, and optimizes destination bulk load settings to reach target throughput.
Yes. StreamSets preserves pipeline offsets across SDC upgrades. Ksolves performs a pre-upgrade compatibility audit, executes the upgrade with offset checkpoint validation, and runs post-upgrade record count comparison to confirm no data was lost.
StreamSets Data Collector is the pipeline execution engine running on individual nodes. Control Hub is the centralized management layer for deploying, monitoring, and versioning pipelines across multiple SDC instances. Ksolves configures and manages both as part of a complete enterprise Apache StreamSets support engagement.
Ksolves configures LDAP or SAML authentication, integrates Vault or cloud-native secret stores, enables TLS on all pipeline connections, and deploys field-level masking for PII fields. Audit logs are structured for SOC 2 and HIPAA evidence packages.
Yes. Ksolves offers structured streamsets support contracts with defined SLA tiers covering critical incident response, pipeline health monitoring, scheduled maintenance, and version upgrades, customized to your pipeline count, connector types, and compliance requirements.
Yes. Ksolves migrates from Informatica, Talend, custom Python or Spark scripts to StreamSets with full pipeline equivalence testing, record count validation, and a parallel run period to confirm data parity before final cutover.
Ksolves configures StreamSets drift synchronization processors to detect and handle schema changes automatically, including column additions, type changes, and new tables. Drift handling policies are defined per pipeline to propagate, quarantine, or alert on changes without manual intervention.
Yes. Ksolves is a trusted Apache Streamsets support vendor in the USA with 24×7 global coverage and US-hours availability. European clients under GDPR and PCI-DSS receive compliant pipeline configurations and audit logging. Critical incident SLA: 30-minute acknowledgment and 2-hour resolution.
