Engineers inherit massive 1000+ line SQL stored procedures with no documentation, hidden dependencies between lines, side effects (triggers, emails, table writes), and temporal coupling — making them nearly impossible to safely modify or understand
A tool that parses SQL stored procedures and automatically generates an interactive dependency graph showing data flow between statements, identifies side effects (triggers, emails, writes), highlights temporal dependencies, and lets you trace how a change at line N cascades through the procedure
Freemium — free for single files, paid tiers ($29-99/mo) for team features, version control integration, and multi-procedure analysis
This is a visceral, daily pain for anyone maintaining legacy SQL. The Reddit signals are textbook — 'pen and paper dependency maps', 'can't run it to test because of side effects', 'comments will lie'. Engineers spend DAYS manually tracing 1500-line procedures. This is a hair-on-fire problem for anyone who has it. Deducting one point only because not every engineer faces this — it's concentrated in legacy-heavy shops.
Niche but deep. Estimated ~2-5M data engineers and backend devs globally work with stored procedures regularly. At $29-99/mo, a realistic capture of even 0.1% = $7M-60M ARR potential. Not a billion-dollar TAM, but solid for a bootstrapped/indie product. The ceiling is enterprise contracts with banks and insurers where this pain is most acute — that could push TAM higher but requires enterprise sales motion.
Engineers at companies with legacy SQL debt are already paying for Redgate ($345+/user), Dataedo, and similar tools — proving budget exists for SQL tooling. $29/mo for individual devs is an easy expense report. $99/mo for teams is trivial against the cost of a senior engineer spending a week manually mapping a procedure. The risk: many devs will try to use free AI tools (ChatGPT, Copilot) to understand procedures instead, which works partially but doesn't give you the interactive visual graph.
This is the hard part. Parsing procedural SQL (T-SQL, PL/pgSQL, PL/SQL) with control flow, dynamic SQL, cursors, and temp tables is genuinely difficult. sqlglot doesn't handle procedural constructs well. You'd likely need to build or extend a parser for each dialect. Dynamic SQL (EXEC(@sql)) is fundamentally impossible to fully resolve statically. Trigger detection requires database metadata access, not just code parsing. A solo dev can build an MVP for a SINGLE dialect (e.g., T-SQL only) in 6-8 weeks, but it will be limited. Full multi-dialect support is a 6-12 month effort. Using LLMs as a parsing assist could shortcut some of this but adds unreliability.
This is the strongest signal. Every existing tool operates at the object level (proc→table) but NONE visualize what happens INSIDE a stored procedure — the line-by-line data flow, variable dependencies, temporal coupling, and side effects. This is a genuine gap in the market. The closest thing is pen-and-paper, which the Reddit thread literally describes. No tool combines: intra-procedure data flow + side effect detection + interactive visualization + modern web UI.
Moderate-to-strong recurring potential. Engineers need this tool whenever they touch legacy procedures, which is ongoing. Team features (shared annotations, version-tracked analysis, CI integration for procedure changes) create sticky subscription value. Risk: some users may only need it for a one-time migration project and then churn. Counter: legacy SQL rarely goes away — it just accumulates. Adding 'what changed since last analysis' features increases retention.
- +Genuine, painful gap in market — no tool visualizes intra-procedure dependencies
- +Strong emotional resonance — every data engineer has a war story about inherited stored procedures
- +Clear willingness-to-pay signal from existing SQL tooling budgets ($345+/user at Redgate)
- +Enterprise upsell potential is high — banks, insurance, healthcare have thousands of these procedures
- +AI/LLM integration for annotation and explanation is a natural differentiator
- +Low competition in the specific niche means organic SEO and community-driven growth are viable
- !Technical complexity of parsing procedural SQL across dialects is the #1 risk — this could easily become a 12-month project instead of 8 weeks
- !Dynamic SQL (EXEC, sp_executesql) is statically unresolvable, meaning the tool will always have blind spots that power users will notice
- !LLM-based code understanding (ChatGPT, Copilot) may become 'good enough' for many users, eroding the market before you capture it
- !Market is niche — growth ceiling exists unless you expand beyond stored procedures into general SQL lineage
- !Enterprise sales cycle for the highest-value customers (banks, insurers) is long and painful for a solo founder
- !Churn risk from project-based usage — engineers may subscribe for one migration and cancel
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T-SQL only, single file upload. User pastes or uploads a stored procedure, the tool parses it and renders an interactive graph showing: (1) variable declarations and where they're read/written, (2) table reads and writes per statement, (3) side effects flagged (INSERT/UPDATE/DELETE/EXEC/email calls), (4) temporal dependencies ('line 847 depends on the UPDATE at line 412'). Use sqlglot for basic parsing, build a custom T-SQL procedural parser for control flow, and use D3.js or Cytoscape.js for the interactive graph. Ship as a web app. Skip: multi-dialect, team features, Git integration, database connection.
Free: paste a single procedure up to 200 lines, get a static dependency diagram. Paid Individual ($29/mo): unlimited procedure length, interactive graph, side-effect detection, export to PNG/SVG, save analysis history. Paid Team ($99/mo/seat): shared workspace, annotations, version comparison ('what changed between these two versions of the proc'), CI/CD webhook for automated analysis on PR. Enterprise (custom): database connection for live metadata (triggers, permissions), multi-procedure call graph analysis, SSO/SAML, on-prem deployment.
8-12 weeks to MVP with T-SQL support. First paying customers in 12-16 weeks if you launch on Hacker News, r/dataengineering, and SQL Server community forums. The Reddit thread IS your launch audience. Expect $1-5K MRR by month 4-5 if execution is solid. Path to $10K MRR in 6-9 months requires adding PostgreSQL support and team features.
- “1000-1500 line long SQL stored procedures”
- “I can't just run the procedure to test it since there are a lot of side-effects”
- “Later parts of the code will rely on an update made 400 lines ago”
- “there is no documentation and many bugs are relied upon”
- “comments will lie/mislead”
- “Every DE has inherited a 1500 line stored proc”