DataVolve: Accelerating Enterprise Data Migration with Intelligence

Enterprises today are under pressure to modernize their data ecosystems, reduce operational overhead, and move faster toward cloud-native architectures. But most organizations are held back by a complex mix of legacy platforms, inconsistent data practices, high engineering effort, and the risk of disruption during migration. The path to modernization often feels slow and expensive.

DataVolve by Tarento is designed to change that. It is an AI-driven accelerator that streamlines data migration and consolidation across enterprise landscapes, enabling teams to move from legacy systems to modern cloud platforms with greater speed and consistency. The framework brings together automation, agentic intelligence, proven methodologies, and pre-built accelerators to remove friction from every stage of migration.

A Smarter Way to Migrate Legacy Data Landscapes

Most enterprise environments rely on a patchwork of legacy tools and older on-prem systems. Each has unique SQL dialects, workflows, and orchestration models, making modernization slow and error-prone.

DataVolve tackles this complexity through:

• Automated profiling and discovery of legacy platforms, giving a complete view of existing pipelines, schemas, and logic.
• AI-assisted, standardized migration that optimizes legacy pipelines and prepares them for cloud-native deployment.
• Industry-benchmarked, AI-certified data pipelines that help ensure quality, reliability, and best practices.
• Migration of legacy resources and security objects, reducing manual rewrites and ensuring continuity.
• One-time and end-to-end data migration, covering ETL logic and workflows.

A Framework Built for Speed and Scale

The strength of DataVolve lies in its structured, multi-pillar methodology, supported by Tarento’s accelerators and AI-enhanced DevOps infrastructure.

Discovery

An automated agent examines the legacy landscape, extracts metadata, assesses pipeline complexity, and produces a comprehensive discovery report. This creates clarity around scope, dependencies, and platform readiness.

AI-assisted Migration

DataVolve automates extraction, translation, and pipeline generation using dynamic notebook creation, rule-based transformation, and dialect-agnostic parsing. It standardizes pipelines and accelerates deployment across target platforms like Databricks, Microsoft Fabric, and Snowflake.

Testing

A dedicated testing suite validates migrated artifacts through automated checks such as row-count validation and checksum comparisons, ensuring semantic equivalence between legacy and target systems.

AI-based Data Operations

After migration, AI-enabled operations enhance performance through the following to ensure the new environment remains stable and efficient long after go-live.

• Proactive monitoring
• Anomaly detection
• Self-healing pipelines
• Automated error handling
• AI-driven cost optimization

Accelerators Across the Lifecycle

DataVolve provides a set of accelerators that simplify and speed up every phase of enterprise data transformation. These include Vector Sprint, which supports detailed landscape discovery, architecture planning, and migration strategy; the Migration Automator that enables automated pipeline migration into cloud platforms; accelerated development frameworks for building new data flows and semantic models; testing automation tools that streamline end-to-end validation; and enhanced DevOps and governance tools that improve lifecycle management and monitoring. These accelerators, altogether, create a repeatable and scalable approach to modernization.

Quantified Business Impact

DataVolve delivers improvements that directly translate into business value:

• 30-60% savings in engineering hours through automation of conversion workflows.
• 20-40% reduction in total migration cost, enabled by standardized processes and reduced manual effort.
• 50-60% of typical project timelines recouped, accelerating payback for the migration initiative.
• 50–60% reduction in post-migration incidents, lowering operational overhead.

A Smarter Path to Modernization

Migrating legacy analytics is one of the most challenging steps in a digital transformation journey. DataVolve simplifies this transition through automation, AI, pre-built patterns, and proven accelerators, reducing risk and enabling enterprises to modernize confidently.

With DataVolve, organizations can unlock faster time-to-insight, lower migration costs, and build a cloud-native data foundation that is scalable, governed, and ready for the future.