It’s Much Easier to Migrate from Informatica to Qlik Than You Think

 

It’s Much Easier to Migrate from Informatica to Qlik Than You Think

In today’s data-driven world, staying future proof often means leaving behind legacy ETL platforms like Informatica PowerCenter, especially as they approach end-of-support. While such migrations are often perceived as cumbersome and high-risk, a growing body of tools and industry momentum shows that transitioning to Qlik/Talend is surprisingly smooth—when approached the right way. 

 Why the Push from Informatica to Talend (and Qlik) Makes Sense 

  1. Modern Architecture & Openness
    Talend’s open-source roots and cloud-native design offer unparalleled flexibility and innovation potential—an attractive contrast to proprietary, legacy systems. It integrates natively with AWS, Azure, GCP, Snowflake, and more.
  2. Cost Efficiency & Scalability
    Legacy tools like Informatica come with steep license and maintenance costs that grow with data volumes. Talend’s subscription-based model, in contrast, provides transparent, scalable pricing and significantly lowers total cost of ownership (TCO).
  3. Unified Platform for Integration and Governance
    Talend delivers ETL, data quality, cataloging, lineage, and API integration—all in one platform. This centralization speeds insights, simplifies operations, and enhances compliance across industries like BFSI, healthcare, and life sciences.
  4. Confidence Amid Market Change
    Informatica’s acquisition by Salesforce and push toward a cloud-only approach may threaten vendor neutrality and flexibility. Qlik’s open, interoperable stance positions it as a more stable, trust-oriented partner.

The Real Game-Changer: Artha’s B’etl (ETL Migrator) 

Artha Solutions offers a purpose-built solution—B’etl—that transforms tedious, high-risk migrations into streamlined, neareffortless workflows. 

  • Automated Migration at Scale
    B’etl converts thousands of legacy ETL jobs in seconds via a simple two-step process (“configure and click to convert”). Logic, configurations, and schemas are preserved, slashing manual QA.
  • High Accuracy with AI-Powered Conversion
    The tool offers automated discovery, logic-preserving conversion, visual validation, and QA-ready jobs—minimizing risk and retaining business-critical logic integrity.
  • Significant Time and Cost Savings
    Reports show migration timelines cut by up to ~80%, with cost reductions of 40–60% achieved through automation and modern architecture.
  • Supported by a Full-Stack Solution
    Artha’s “Artha Advantage” combines data integration, governance, and quality in one turnkey solution—boasting 80% reliability in reconciliation, 90% automation of complex mappings, and 40% reduced implementation time for MDM.
  • Trusted Partner
    As a top Talend and Qlik partner, Artha has delivered seamless, efficient migration outcomes for 300+ clients globally.

A Migration Journey That’s Straightforward in 3 Steps 

Artha outlines a clear three-phased approach: 

  1. Discovery & Assessment
    Quickly catalog legacy workloads, detect redundancies, and prep for migration. 
  1. Automated Conversion
    Leverage AI-driven engines for precision transformation of business logic and workflows—with visual validation and QA-ready outputs. 
  1. Validation & GoLive
    Extensive reporting and impact analysis ensure compliance, alignment, and confidence during cutover.
     

Conclusion: Why It’s Easier Than You Think 

  • Automation removes the heavy lifting—manual rewrites, legacy expert bottlenecks, and prolonged timelines are replaced with click-to-convert simplicity. 
  • Modern architecture unlocks agility—Talend plus Qlik empowers hybrid-cloud flexibility, cost control, and compliance. 
  • A trusted, tested solution—Artha’s proven methodology and recognition by both Talend and Qlik ensure that transitions are smooth, predictable, and future-proof. 

Final Thoughts 

Migrations from Informatica to Qlik are no longer daunting — with the right partners and tools, they’re more like a strategic leap forward than a leap of faith. By embracing Artha’s B’etl and Talend’s modern stack, enterprises can shift quickly, confidently, and cost-effectively into a future of streamlined, AI-ready data operations. 

Cloud-Based Data Pipelines: Architecting the Next Decade of Retail IT (2025–2030)

As we look ahead to 2030, the retail enterprise will not be defined by the number of stores, SKUs, or channels—but by how effectively it operationalizes data across its IT landscape. From personalized offers to inventory automation, the fuel is data. And the engine? Cloud-based data pipelines that are scalable, governable, and AI-ready from day zero.

According to Gartner, “By 2027, over 80% of data engineering tasks will be automated, and organizations without agile data pipelines will fall behind in time-to-insight and time-to-action.” For CIOs and CDOs, the message is clear: building resilient, intelligent pipelines is no longer optional—it’s foundational.

Core IT Challenges Retail CIOs Must Solve by 2030

Legacy ETL Architectures Are Bottlenecks

Most legacy data pipelines rely on brittle ETL tools or on-premise batch jobs. These are expensive to maintain, lack scalability, and are slow to adapt to schema changes.

As per McKinsey Insight (2024), Retailers that migrated from legacy ETL to cloud-native data ops reduced data downtime by 60% and TCO by 35%. It’s a clear mandate for CIO/CDOs to Migrate from static ETL workflows to event-driven, API-first pipelines built on modular cloud-native tools.

Fragmented Data Landscapes and Integration Debt

With omnichannel complexity growing—POS, mobile, ERP, eCommerce, supply chain APIs—the real challenge is not data volume, but data velocity and heterogeneity. Artha’s interoperability-first architecture comes with prebuilt adapters and a data integration fabric that unifies on-prem, multi-cloud, and edge sources into a single operational model. CIOs no longer need to manage brittle point-to-point integrations.

Data Governance Embedded in Motion

CIOs cannot afford governance to be a passive afterthought. It must be embedded in-motion, ensuring data trust, privacy, and compliance at the pipeline level.

Artha’s Approach:

  • Policy-driven pipelines with built-in masking, RBAC, tokenization
  • Lineage-aware transformations with audit trails and version control
  • Real-time quality checks ensuring only usable, compliant data flows downstream

“Governance must move upstream to where data originates. Static governance at the lake is too little, too late.” – Gartner Data Management Trends 2025

Operational Blind Spots and Pipeline Observability

In a distributed cloud data stack, troubleshooting latency, schema drifts, and pipeline failures can delay everything from sales reporting to AI training.

How Artha Solves It:

  • Built-in DataOps monitoring dashboards
  • Lineage visualization and anomaly detection
  • AI-powered health scoring to predict and prevent failures

CIOs gain mean-time-to-repair (MTTR) reductions of 40–60%, ensuring SLA adherence across analytics and operations.

AI-Readiness: From Raw Data to Reusable Intelligence

By 2030, AI won’t be a project—it will be a utility embedded in every retail function. But AI needs clean, well-structured, real-time data. As McKinsey 2025 study concluded “Retailers with AI-ready data foundations will be 2.5x more likely to achieve measurable business uplift from AI deployments by 2028.”

Artha’s AI-Ready Pipeline Blueprint:

  • Continuous data enrichment, labeling, and feature engineering
  • Integration with ML Ops platforms (e.g., SageMaker, Azure ML)
  • Synthetic data generation for training via governed test data environments

Artha Solutions: Future-Ready Data Engineering Platform for CIOs

Artha’s platform is purpose-built to help CIOs and CDOs industrialize data pipelines, with key capabilities including:

Capability CIO Impact
ETL Modernization (B’etl) 90% automation in legacy job conversion
Real-Time Event Streaming Decision latency reduced from hours to minutes
MDM-Lite + Governance Layer Unified golden records and compliance enforcement
Data Observability Toolkit SLA adherence with predictive monitoring
AI-Enhanced DIP Modules Data readiness for AI/ML and analytics at scale

2025–2030 CIO Roadmap: Next Steps for Strategic Advantage

  1. Audit your integration landscape – Identify legacy ETLs, brittle scripts, and manual data hops
  2. Deploy a cloud-native ingestion framework – Start with high-velocity use cases like customer 360 or inventory sync
  3. Embed governance at the transformation layer – Leverage Artha’s policy-driven pipeline modules
  4. Operationalize AI-readiness – Partner with Artha to build AI training pipelines and automated labeling
  5. Build a DataOps culture – Invest in observability, CI/CD for pipelines, and cross-functional data squads

Final Word for CIOs: Build the Fabric, Not Just the Flows

As the retail enterprise becomes a digital nervous system of customer signals, supply chain events, and AI triggers, the data pipeline is no longer just IT plumbing — it is the strategic foundation of operational intelligence.

Artha Solutions empowers CIOs to shift from reactive data flow management to proactive data product engineering — enabling faster transformation, reduced complexity, and future-proof scalability.

Transforming Healthcare with Data: Artha Solutions Awarded Qlik Specialist Badge

We’re excited to share that Artha has been recognized by Qlik as a Healthcare Specialist Partner! 🌟

This recognition reflects our proven track record of delivering impactful data and analytics solutions across the healthcare ecosystem, including:

Payer Solutions – Modernizing claims processing, risk adjustment, and member analytics with trusted, governed data pipelines.

Clinical Healthcare – Enabling care teams with real-time insights, advanced AI/ML models, and patient-centric analytics to improve outcomes.

Healthcare Administration – Driving operational efficiency with supply chain, financial, and workforce analytics that help streamline decision-making.

From integrating siloed data sources to building AI-ready data lakes, we’ve partnered with leading healthcare organizations to improve patient outcomes, enhance operational performance, and deliver measurable ROI.

This badge from Qlik underscores our deep industry expertise and commitment to transforming healthcare through data.

 

Why Enterprises Are Moving from Informatica to Talend

Why Enterprises Are Moving from Informatica to Talend

Modernizing Data Integration with Flexibility, Cost Efficiency, and Artha’s B’ETL ETL Migrator

In a fast-evolving digital economy, enterprises are reassessing their data integration platforms to drive agility, cost savings, and innovation. One key trend gaining momentum is the ETL migration from Informatica to Talend—a move many organizations are making to unlock modern data architecture capabilities.

And leading the charge in simplifying this migration journey is Artha Solutions’ B’ETL – ETL Converter, a purpose-built tool that automates and accelerates the conversion from legacy ETL platforms to Talend.

  1. Open, Flexible, and Cloud-Native

Talend’s open-source foundation gives enterprises the freedom to innovate without being restricted by proprietary technologies. Combined with its cloud-native capabilities, Talend supports integration across hybrid and multi-cloud environments, including AWS, Azure, GCP, and Snowflake—something legacy platforms often struggle to accommodate without heavy investments.

  1. Cost Optimization at Scale

Licensing and infrastructure costs for legacy platforms like Informatica often scale linearly—or worse—as data volumes grow. Talend’s subscription-based model offers a more scalable and transparent pricing structure. This, coupled with reduced infrastructure overhead, leads to significant savings in total cost of ownership (TCO).

  1. Unified Platform for Data Integration and Governance

Talend provides a single platform for ETL, data quality, cataloging, lineage, and API integration, reducing silos and enabling faster time to insight. This is especially valuable in regulated industries like BFSI, healthcare, and life sciences.

  1. Modern Architecture for Real-Time Business

With support for event-driven pipelines, microservices, and real-time processing, Talend is a fit for modern analytics, IoT, and digital transformation needs. Informatica’s architecture, in contrast, can be more monolithic and slower to adapt.

  1. Faster Migration with Artha’s B’ETL – ETL Converter

One of the biggest challenges enterprises face in this transition is the complexity of migrating existing ETL jobs, workflows, and metadata. That’s where Artha Solutions’ B’ETL stands out as the best-in-class ETL migration tool.

What makes B’ETL unique?

  • Automated Metadata Conversion: Converts mappings, workflows, transformations, and expressions from Informatica to Talend with high accuracy.
  • Visual Mapping Studio: Easily review, modify, and validate migrated logic in a modern UI.
  • Impact Analysis & Validation Reports: Detailed logs and comparison tools ensure seamless validation and compliance.
  • Accelerated Time-to-Value: Cuts down migration time by up to 60–70% compared to manual efforts.
  • Minimal Disruption: Ensures business continuity by identifying and addressing incompatibilities during planning.

With B’ETL, enterprises can confidently modernize their ETL stack, reduce risk, and achieve ROI faster.

 

  1. Vibrant Ecosystem and Talent Pool

Talend’s community-driven innovation ensures that new connectors, updates, and best practices are continuously shared. This contrasts with vendor-locked environments, where access to enhancements and skilled resources may be limited or costly.

 

Real-World Impact

Organizations that made the switch to Talend with Artha Solution’s help have reported:

  • 40–60% reduction in operational costs
  • Faster onboarding of new data sources and pipelines
  • Improved data quality and data governance across business units
  • Accelerated compliance with GDPR, HIPAA, and other data privacy frameworks

 

Final Thoughts

Migrating from Informatica to Talend is more than a tech upgrade—it’s a strategic move to empower data teams with speed, flexibility, and control. With Artha Solutions’ B’ETL Migrator, the transition becomes seamless, efficient, and future-ready.

 

Ready to start your migration journey?
Learn how B’ETL can transform your legacy ETL into a modern, cloud-enabled engine.
🔗Contact us for a personalized migration assessment.

 

ETL Migration in 1-2-3: From Legacy Gridlock to Automated Acceleration

  1. The Industry Problem: Legacy ETL Tools Are Holding Back Innovation

Across industries — from banking and manufacturing to retail and healthcare — enterprises are struggling with stagnant, high-maintenance ETL platforms like Informatica, DataStage, and Pentaho etc.. These tools, once reliable, now create more friction than value in a data-driven world.

Here’s why:

  • Rising Costs: License renewals, specialized talent, and dual-stack maintenance drain budgets.
  • Sluggish Delivery: Change cycles are slow, blocking cloud initiatives and AI readiness.
  • Vendor Lock-In: Rigid architectures limit flexibility, scalability, and modernization.
  • Innovation Bottlenecks: Modern data demands — real-time, governed, AI-ready — can’t be met by legacy designs.

The pressure to modernize ETL pipelines is no longer optional. But getting there isn’t easy.

The ETL Migration Dilemma: Resource Gaps & Risky Rewrites

Once a modernization decision is made, enterprises hit the next wall: how to migrate safely and efficiently. Manual ETL Migration sounds simple — until you’re deep in thousands of jobs and complex logic that’s undocumented or poorly understood.

Key pain points include:

  • Shortage of Legacy Experts: Aging tools mean fewer available developers with niche skills.
  • Logic Loss Risk: Manual rewrites risk breaking business-critical transformations.
  • Long Timelines: Projects often run over budget and delay data initiatives for months — or years.
  • Testing Overload: Without confidence in code parity, testing becomes exhaustive and error-prone.

The result? Migrations that stall, bloat, and derail digital transformation.

The Solution: Automate with B’etl — Built for Scale, Accuracy, and Speed

Artha Solutions addresses this exact gap with B’etl — an AI-powered ETL migration Tool that automates the heavy lifting of legacy-to-modern conversion.

What B’etl does for you:

  • Discovery & Assessment: Quickly inventory ETL workloads, identify redundancies, and prepare for change.
  • Code Conversion Engine: Translates legacy logic into Talend (or other targets) with precision.
  • Logic Retention: Business rules and transformations are preserved and revalidated — no black-box rewrites.
  • QA-Ready Jobs: Accelerated testing with confidence that migrated code mirrors the original.

With B’etl you:

  • Cut migration time by up to 70%
  • Save on licensing and maintenance
  • Enable cloud-native analytics and AI faster

ETL Modernization doesn’t need to mean disruption. With B’etl™, it means acceleration.
Visit thinkartha.com to explore how Artha is redefining the future of ETL modernization — one automated migration at a time.