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Description

3X Code Conversion is an AI-powered accelerator for converting legacy data engineering code into modern cloud-ready code. The platform automates SQL and ETL migration for enterprises moving from systems such as Teradata, Oracle, Netezza, SQL Server, MySQL, PostgreSQL, and Redshift. It supports target platforms including Snowflake, Databricks, BigQuery, Microsoft Fabric, Synapse, Delta Lake, and other modern cloud data environments. 3X Code Conversion handles SQL scripts, stored procedures, views, ETL jobs, BTEQ scripts, FastLoad jobs, SSIS pipelines, macros, and undocumented legacy codebases. The accelerator parses code semantically, resolves dependencies, scores object complexity, identifies conversion risk, and classifies which objects can be fully automated or need developer review. Its agentic conversion engine rebuilds legacy logic using target-platform patterns rather than relying on simple find-and-replace translation. Built-in validation checks row counts, column mappings, data types, null handling, join logic, and regression quality before deployment. Every flagged object includes developer action items explaining what failed, why it failed, where the issue appears, and what needs to be fixed. By combining automated conversion, refactoring, testing, documentation, and migration reporting, 3X Code Conversion helps enterprises accelerate cloud data modernization with less manual rewrite work.

Description

Nao is an innovative data IDE powered by artificial intelligence, specifically tailored for data teams, seamlessly merging a code editor with direct access to your data warehouse, enabling you to write, test, and manage data-related code while retaining complete contextual awareness. It is compatible with various data warehouses, including Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Upon connection, nao enhances the conventional data warehouse console by providing features like schema-aware SQL auto-completion, data previews, SQL worksheets, and effortless navigation between multiple warehouses. At the heart of nao lies its intelligent AI agent, which possesses comprehensive knowledge of your data schema, tables, columns, metadata, as well as your codebase or data-stack context. This agent is capable of generating SQL queries, constructing entire data transformation models such as those used in dbt workflows, refactoring existing code, updating documentation, conducting data quality assessments, and performing data-diff tests. Furthermore, it can uncover insights and facilitate exploratory analytics, all while maintaining strict adherence to data structure and quality standards. With its robust capabilities, nao empowers data teams to streamline their workflows and enhance productivity significantly.