We Meet Security & Compliance Standards
Ksolves: Your Trusted Talend Migration Partner with Proven Open-Source Expertise
Migrating from Talend to an open-source data platform is a complex, high-stakes undertaking that demands precision at every stage. Ksolves brings the certified expertise to navigate every layer of it from pipeline audit to production cutover, without disruption. Our data engineers are hands-on practitioners in Apache NiFi, Apache Spark, and Apache Airflow, with a proven track record of delivering production-grade open-source migrations on time and without data loss. We audit your Talend jobs, design a purpose-built open-source architecture for your specific workloads, and execute a phased migration with full accountability at every step. You get a modern data stack you fully own, backed by our 24×7 post-migration support.
Our Talend to Open-Source Migration Services
From a single-pipeline assessment to a full enterprise data platform migration, Ksolves delivers a complete suite of services scoped to your complexity and aligned to your timelines.
Talend Pipeline Assessment
We audit every Talend job, workflow, and dependency in your environment. Each pipeline is classified by complexity, data volume, and risk level, giving you a precise migration scope, effort estimate, and risk register before a single line is rewritten.
- Complete inventory of Talend Studio jobs, Routes, ESB services, and Metadata definitions across all environments.
- Dependency mapping covering inter-job calls, shared contexts, and database connections.
- Five-tier complexity scoring with time and resource estimates per tier.
- Risk classification flagging SLA-critical pipelines and compliance-bound data flows.
- Delivered as a Migration Readiness Report for stakeholder sign-off.
Open-Source Architecture Design
Our architects design a custom target stack mapped to your workloads. We determine what moves to Apache NiFi, what requires Apache Spark, and how Apache Airflow ties it all together, fully documented and signed off before execution begins.
- Workload profiling mapping pipelines to NiFi, Spark, or Airflow based on latency and volume requirements.
- Cluster sizing derived from your actual throughput baselines, not vendor benchmarks.
- Technology decision records documenting architectural choices, rationale, and alternatives.
- Integration architecture covering Kafka, Snowflake, BigQuery, and Redshift consumer contracts.
- Stakeholder sign-off completed before build work begins.
Talend Job Re-Engineering
This is not a copy-paste migration. Every Talend transformation is rebuilt from the ground up using NiFi processor chains, Spark DataFrames, and Airflow DAG logic, optimized for performance and built to last.
- Every tMap, tJavaRow, and custom routine is translated into idiomatic Spark or NiFi processor logic.
- Anti-patterns removed, including row-by-row processing, over-nested subjobs, and undocumented context variables.
- Unit-tested transformations with input/output fixtures before integration testing.
- Code review checkpoints at 25%, 50%, and 75% to prevent architectural drift.
- Transformation lineage mapping and inline documentation are delivered with every pipeline.
Cloud-Native Open-Source Deployment
We deploy your new stack on AWS EMR, AWS MWAA, GCP Dataproc, Azure HDInsight, or Databricks, containerized, fully managed, and integrated with Snowflake, BigQuery, Redshift, and Kafka from day one.
- Terraform or CloudFormation Infrastructure-as-Code for reproducible, version-controlled environments.
- Kubernetes orchestration with resource limits, health probes, and autoscaling configured from the start.
- VPC isolation, private endpoints, IAM least-privilege roles, and encrypted data paths configured by default.
- Git-based CI/CD integration for pipeline deployments without manual cluster intervention.
- Day-one observability dashboards in CloudWatch, Datadog, or Grafana covering health, throughput, and errors.
Phased Cutover and Parallel Run Management
Your Talend pipelines stay live until every new open-source flow is validated against production data. Rollback plans are tested and in place before every phase transition, with no surprises and no rushed cutovers.
- Parallel execution of both stacks with automated output reconciliation before each cutover phase.
- Phase gate criteria covering reconciliation pass rates, latency, and error rate thresholds.
- Rollback runbooks are written, tested, and rehearsed before every phase transition.
- Real-time dashboards tracking reconciliation results and phase-gate status for stakeholders.
- Post-cutover hypercare window of 5 to 10 business days before steady-state handover.
Security and Compliance Configuration
TLS, Kerberos, RBAC, and audit logging configured for SOC 2, HIPAA, GDPR, and PCI-DSS. Security is delivered as part of your project documentation, not bolted on at the end.
- TLS and Kerberos are configured across NiFi, Spark, and Airflow with encryption at rest on all data stores.
- RBAC integrated with Active Directory, Okta, or AWS IAM aligned to your org structure.
- Audit logging captures pipeline execution, data access, and configuration change events.
- Compliance evidence packages for SOC 2 Type II, HIPAA, GDPR Article 32, and PCI-DSS Requirement 10.
- Data residency controls with documented flow maps per regulatory boundary.
Performance Optimization and Tuning
NiFi backpressure, Spark execution plans, shuffle configurations, and fault-tolerant Airflow DAGs fine-tuned before handover. Cluster sizing, resource allocation, and monitoring dashboards are fully configured and ready on day one.
- Spark tuning covering partition pruning, broadcast join thresholds, and shuffle partition configuration.
- NiFi back-pressure thresholds, thread pool sizing, and processor scheduling are optimised per flow.
- Airflow pool configuration, task parallelism, retry logic, and SLA miss alerting are configured per DAG.
- Pre and post-optimisation benchmarks with quantified throughput and latency outcomes.
- Autoscaling policies validated against historical load patterns before handover.
Team Enablement and Training
Hands-on training, runbooks, architecture diagrams, and operational playbooks covering NiFi, Spark, and Airflow administration, delivered directly to your internal team so they own what we build.
- Role-specific training for platform engineers, data engineers, and operations staff.
- Live lab sessions using your actual environment and pipelines, not generic demos.
- Operational runbooks covering cluster scaling, DAG deployment, and certificate rotation.
- Troubleshooting playbooks for common failure scenarios with resolution steps and escalation paths.
- Formal knowledge transfer sign-off before Ksolves hands over operational ownership.
Post-Migration Managed Support
24x7 SLA-driven support covering incident response, pipeline modifications, cluster upgrades, and compliance reviews. Critical incident response within 30 minutes across every global time zone.
- P1 response within 30 minutes, P2 within 2 hours, P3 within 8 hours on contractual terms.
- Support engineers with direct knowledge of your pipeline architecture and compliance configuration.
- Proactive monitoring across NiFi, Spark, and Airflow covering failures, SLA misses, and resource saturation.
- Cluster upgrades, security patching, and quarterly compliance reviews are included in scope..
- Monthly service reports covering incidents, pipeline performance trends, and maintenance schedules.
Our Talend to Open-Source Migration Services
From a single-pipeline assessment to a full enterprise data platform migration, Ksolves delivers a complete suite of services scoped to your complexity and aligned to your timelines.
Talend Pipeline Assessment
We audit every Talend job, workflow, and dependency in your environment. Each pipeline is classified by complexity, data volume, and risk level, giving you a precise migration scope, effort estimate, and risk register before a single line is rewritten.
- Complete inventory of Talend Studio jobs, Routes, ESB services, and Metadata definitions across all environments
- Dependency mapping covering inter-job calls, shared contexts, and database connections.
- Five-tier complexity scoring with time and resource estimates per tier.
- Risk classification flagging SLA-critical pipelines and compliance-bound data flows.
- Delivered as a Migration Readiness Report for stakeholder sign-off.
Open-Source Architecture Design
Our architects design a custom target stack mapped to your workloads. We determine what moves to Apache NiFi, what requires Apache Spark, and how Apache Airflow ties it all together, fully documented and signed off before execution begins.
- Workload profiling mapping pipelines to NiFi, Spark, or Airflow based on latency and volume requirements.
- Cluster sizing derived from your actual throughput baselines, not vendor benchmarks.
- Technology decision records documenting architectural choices, rationale, and alternatives.
- Integration architecture covering Kafka, Snowflake, BigQuery, and Redshift consumer contracts.
- Stakeholder sign-off completed before build work begins.
Talend Job Re-Engineering
This is not a copy-paste migration. Every Talend transformation is rebuilt from the ground up using NiFi processor chains, Spark DataFrames, and Airflow DAG logic, optimized for performance and built to last.
- Every tMap, tJavaRow, and custom routine is translated into idiomatic Spark or NiFi processor logic.
- Anti-patterns removed, including row-by-row processing, over-nested subjobs, and undocumented context variables.
- Unit-tested transformations with input/output fixtures before integration testing.
- Code review checkpoints at 25%, 50%, and 75% to prevent architectural drift.
- Transformation lineage mapping and inline documentation are delivered with every pipeline.
Cloud-Native Open-Source Deployment
We deploy your new stack on AWS EMR, AWS MWAA, GCP Dataproc, Azure HDInsight, or Databricks, containerized, fully managed, and integrated with Snowflake, BigQuery, Redshift, and Kafka from day one.
- Terraform or CloudFormation Infrastructure-as-Code for reproducible, version-controlled environments.
- Kubernetes orchestration with resource limits, health probes, and autoscaling configured from the start.
- VPC isolation, private endpoints, IAM least-privilege roles, and encrypted data paths configured by default.
- Git-based CI/CD integration for pipeline deployments without manual cluster intervention.
- Day-one observability dashboards in CloudWatch, Datadog, or Grafana covering health, throughput, and errors.
Phased Cutover and Parallel Run Management
Your Talend pipelines stay live until every new open-source flow is validated against production data. Rollback plans are tested and in place before every phase transition, with no surprises and no rushed cutovers.
- Parallel execution of both stacks with automated output reconciliation before each cutover phase.
- Phase gate criteria covering reconciliation pass rates, latency, and error rate thresholds.
- Rollback runbooks are written, tested, and rehearsed before every phase transition.
- Real-time dashboards tracking reconciliation results and phase-gate status for stakeholders.
- Post-cutover hypercare window of 5 to 10 business days before steady-state handover.
Security and Compliance Configuration
TLS, Kerberos, RBAC, and audit logging configured for SOC 2, HIPAA, GDPR, and PCI-DSS. Security is delivered as part of your project documentation, not bolted on at the end.
- TLS and Kerberos are configured across NiFi, Spark, and Airflow with encryption at rest on all data stores.
- RBAC integrated with Active Directory, Okta, or AWS IAM aligned to your org structure.
- Audit logging captures pipeline execution, data access, and configuration change events.
- Compliance evidence packages for SOC 2 Type II, HIPAA, GDPR Article 32, and PCI-DSS Requirement 10.
- Data residency controls with documented flow maps per regulatory boundary.
Performance Optimization and Tuning
NiFi backpressure, Spark execution plans, shuffle configurations, and fault-tolerant Airflow DAGs fine-tuned before handover. Cluster sizing, resource allocation, and monitoring dashboards are fully configured and ready on day one.
- Spark tuning covering partition pruning, broadcast join thresholds, and shuffle partition configuration.
- NiFi back-pressure thresholds, thread pool sizing, and processor scheduling are optimised per flow.
- Airflow pool configuration, task parallelism, retry logic, and SLA miss alerting are configured per DAG.
- Pre and post-optimisation benchmarks with quantified throughput and latency outcomes.
- Autoscaling policies validated against historical load patterns before handover.
Team Enablement and Training
Hands-on training, runbooks, architecture diagrams, and operational playbooks covering NiFi, Spark, and Airflow administration, delivered directly to your internal team so they own what we build.
- Role-specific training for platform engineers, data engineers, and operations staff.
- Live lab sessions using your actual environment and pipelines, not generic demos.
- Operational runbooks covering cluster scaling, DAG deployment, and certificate rotation.
- Troubleshooting playbooks for common failure scenarios with resolution steps and escalation paths.
- Formal knowledge transfer sign-off before Ksolves hands over operational ownership.
Post-Migration Managed Support
24x7 SLA-driven support covering incident response, pipeline modifications, cluster upgrades, and compliance reviews. Critical incident response within 30 minutes across every global time zone.
- P1 response within 30 minutes, P2 within 2 hours, P3 within 8 hours on contractual terms.
- Support engineers with direct knowledge of your pipeline architecture and compliance configuration.
- Proactive monitoring across NiFi, Spark, and Airflow covering failures, SLA misses, and resource saturation.
- Cluster upgrades, security patching, and quarterly compliance reviews are included in scope..
- Monthly service reports covering incidents, pipeline performance trends, and maintenance schedules.
What Makes Ksolves a Trusted Partner?
Your migration is managed end-to-end by certified open-source experts, from assessment to post-migration support
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 Serve
Our Talend to open-source migration expertise spans regulated and high-volume data environments across industries.
Fintech and Banking
Payment pipeline migration to NiFi and Kafka with PCI-DSS compliant audit trails and sub-second processing SLAs
Healthcare and Life Sciences
HIPAA-compliant migration of clinical data pipelines with HL7 and FHIR integration support
Telecom
Petabyte-scale network event stream migration to NiFi and Spark Streaming for real-time anomaly detection and billing reconciliation
E-Commerce and Retail
Order, inventory, and catalog pipeline modernization from Talend to Airflow-orchestrated Spark jobs with cloud warehouse delivery
Technology and SaaS
Data infrastructure migration from vendor-locked ETL to containerized NiFi, Spark, and Airflow on Kubernetes
Manufacturing and Logistics
IoT sensor and supply chain pipeline migration to NiFi edge ingestion with Spark processing and real-time visibility
Media and Entertainment
Content metadata and ad telemetry pipeline migration to Spark Streaming and Airflow with cloud-native delivery integrations
Supply Chain and Distribution
EDI and ERP pipeline migration to NiFi-driven ingestion with Airflow-scheduled Spark transformations
Frequently Asked Questions
A Talend to open-source migration involves auditing your existing Talend jobs, re-architecting each pipeline for Apache NiFi, Spark, or Airflow based on workload type, and executing a phased cutover using parallel runs to ensure zero downtime. Ksolves handles the full scope, including job refactoring, security configuration, ecosystem integration, performance tuning, and team enablement.
The primary drivers are cost, scalability, and ownership. Talend’s subscription licensing becomes expensive at scale. Open-source tools like NiFi, Spark, and Airflow have no per-user or per-connector fees, handle petabyte-scale workloads natively, and integrate seamlessly with modern cloud data platforms. You own the stack entirely with no vendor dependency.
Apache NiFi replaces Talend’s data ingestion and ETL flow management. Apache Spark handles the heavy transformation and batch processing workloads. Apache Airflow replaces Talend’s job orchestration and scheduling layer. In most enterprise migrations, all three tools are used together as a unified platform.
We use a parallel-run migration model. Your Talend pipelines remain live while new open-source flows are built and validated against production data. Cutover happens only after full reconciliation across all pipeline categories. Rollback procedures are defined and tested before each phase.
Small to medium environments with 50 to 200 Talend jobs typically complete in 8 to 12 weeks. Large enterprise environments with complex dependencies, streaming workloads, or multi-region deployments typically require 16 to 24 weeks. We provide a definitive timeline after the initial assessment phase.
Yes. Our methodology applies to migrations from SSIS, Informatica, DataStage, and other legacy ETL platforms. The source tooling changes; the rigor, architecture approach, and zero-downtime execution model remain consistent.
We design migration architectures for SOC 2, HIPAA, GDPR, and PCI-DSS from the start. Every deployment includes TLS encryption, Kerberos or OAuth2 authentication, Role-Based Access Control at the NiFi, Spark, and Airflow layers, and full audit logging documented and handed over at project close.
Ksolves provides 24×7 SLA-driven post-migration support covering incident response, pipeline modifications, cluster upgrades, performance optimization, and compliance reviews. Support tiers include a 30-minute critical incident SLA. We also offer managed operations engagements where our engineers act as your extended data platform team.
