Built for a Different Era
Legacy ETL tools were built for batch volumes and on-premise infrastructure-not today’s scale, speed, or real-time demands.
Informatica. Ab Initio. SAS. Hadoop. Cloudera. Oracle. COBOL. Databricks. Snowflake. Autonomously discovered, converted, validated, and deployed to any compute engine.
"Legacy data platforms were built for a different era. They cannot scale to modern volumes, cannot run at modern speed, and cannot serve as a foundation for AI. Bolting an AI layer onto legacy infrastructure does not make it modern - it makes it more expensive. The only path forward is migration."
Legacy infrastructure limits agility, increases costs, and creates hidden risks across your data ecosystem.
Legacy ETL tools were built for batch volumes and on-premise infrastructure-not today’s scale, speed, or real-time demands.
Proprietary platforms lock business logic into closed ecosystems, driving costly upgrades, higher licensing, and unpredictable pricing.
PERL, Shell scripts, parameter files, and tribal knowledge sit outside ETL tools, making migration scope difficult to uncover.
70% of Databricks and Snowflake workloads don’t need premium compute, while bills grow 40%+ annually.
AI agents, GenAI, and modern analytics need governed, scalable cloud-native foundations-not legacy infrastructure.
Legacy platforms aging beyond vendor support increase security, compliance, and operational risks.
Agent Migrate is BigHammer’s autonomous AI agent purpose-built to handle the complete migration lifecycle -- from legacy discovery to cloud deployment -- without manual intervention at any stage.
Agent Migrate connects directly to source platforms and scans every job, script, config, connection, and dependency. It produces a complete inventory with complexity scoring and a prioritized disposition map (Keep / Refactor / Retire / Migrate).
Agent Migrate uses BigHammer’s proprietary Context IQ engine to understand business intent at the semantic level and reconstruct it into an abstract, engine-agnostic pipeline model - preserving lineage, governance, and domain context.
Agent Migrate runs environment, code, data, and deployment testing automatically. Dual-run parity checks, row-level hash validation, canary deployments, and rollback verification - all confirmed before cutover.
Agent Migrate deploys migrated pipelines to AWS EMR, GCP Dataproc, Azure HDInsight, Databricks, Snowflake, DuckDB, local Spark clusters, or Kubernetes -- your architecture, your choice, zero vendor lock-in.
Legacy infrastructure limits agility, increases costs, and creates hidden risks across your data ecosystem.
Lower data platform costs by migrating workloads, eliminating licensing, and optimizing compute infrastructure.
70% of workloads do not need premium compute. Move to EMR, Dataproc, or local Spark. Consolidate spend under committed cloud use targets.
Route analytical SQL to DuckDB for in-process execution at a fraction of the cost. Eliminate per-query credit consumption for lightweight workloads.
Convert mappings, workflows, PERL/Shell scripts to Spark/PySpark autonomously. Eliminate legacy licensing costs. Automate ops via Agent DataOps.
Migrate nested graphs, conditional logic, and custom scripts to open-source Spark. Eliminate proprietary licensing. Compress timelines from years to months.
Migrate MapReduce, Hive, Oozie, and Spark off aging Cloudera clusters. Move to cloud-native engines with zero rewrite. Eliminate on-premises infrastructure costs.
Convert stored procedures, SQL scripts, and database-embedded logic to portable pipelines targeting DuckDB, Snowflake, BigQuery, or any cloud warehouse.
Save both money and time with Big Hammers end-to-end Ai Data platform
Traditional Migration Tools
BigHammer AI Agent Migrate
Take the leap forward
Reduce Costs and Free up time for Innovation…
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