RDB Tools

A free online tool for developers and DBAs to analyze relational databases, discover schemas, profile queries, and inspect data lineage efficiently.

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Total Calculations Run

< 15ms

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100%

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4.9 / 5.0

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About This Tool

RDB Tools analyzes relational databases by parsing SQL, DDL, and metadata to surface schemas, dependencies, and lineage without requiring database changes.
Conceptually it builds an internal model: parses dialects, extracts objects, maps relationships, and constructs provenance graphs.
Beneficiaries include DBAs, data engineers, and developers who need quick visibility into data structures, migration risks, and governance compliance.
Core features include dialect-aware parsing, schema discovery, dependency mapping, query profiling, and export options; use cases include migration planning, impact analysis, and quality checks.

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How to Use

Provide inputs: paste representative SQL/DDL and, if available, connection metadata.
Choose dialect and scope: select parsing dialects and target schemas or objects.
Run analysis: trigger the parser, metadata extractor, and lineage builder.
Review outputs: examine generated schema maps, dependencies, and profiling metrics.
Export & integrate: export JSON/CSV metadata for catalogs or CI pipelines.

Frequently Asked Questions

Find Quick Answers

What data sources can I analyze?

The tool accepts SQL scripts, DDL scripts, and optional connection metadata. It can parse common dialects (PostgreSQL, MySQL, SQL Server, Oracle). It does not execute queries or access live data; analysis is metadata-based.

Can it map cross-database lineage?

Yes, when provided with multiple source schemas, it aggregates metadata to build a cross-database lineage graph. Where constraints or mappings are missing, the lineage may rely on inferred relationships and heuristics.

What outputs are produced?

The tool generates structured metadata in JSON, schema maps, and dependency graphs. It supports exporting to JSON and CSV, enabling integration with data catalogs, governance workflows, or CI pipelines in downstream tools.

Is it suitable for governance and validation?

It supports governance-oriented tasks by surfacing schema changes and data lineage. It is not a full compliance solution, but it provides metadata quality signals, change detection, and lineage insights to inform controls.

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