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dbForge Studio for MySQL vs driftcurve

dbForge Studio for MySQL

devart.com

driftcurve

github.com

Side by side

FiguredbForge Studio for MySQLdriftcurve
Price from$9.95/moFree
Free plan—Yes
Free trial——
Open source—Yes
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
API—Yes
Self-hosted—Yes
Plans published41
Spec score · Database Schema Comparison Tools6.9 (#17)8.5 (#2)

Plans

dbForge Studio for MySQL

  • ExpressPriced on request
  • Standard$9.95 a month
  • ProfessionalPriced on request
  • EnterprisePriced on request

dbForge Studio for MySQL pricing →

driftcurve

  • FreeFree

driftcurve pricing →

In their own words

dbForge Studio for MySQL

dbForge Studio for MySQL is a desktop database tool for MySQL, MariaDB, Percona, and HeatWave. It runs on Windows, macOS, and Linux and provides data editing, visual data and object editors, a database designer, visual query building, SSH tunneling, and query history. Query results can be exported to HTML, Text, XLS, XLSX, Google Spreadsheet, MS Access, RTF, PDF, JSON, XML, CSV, ODBC, DBF, and SQL. The Express plan lists formatting, visual editors, design, import and export, and security and session managers. Standard adds debugging, query profiling, backup and recovery, database search, and SQL refactoring for $9.95 a month, billed monthly. Professional lists schema and data comparison and synchronization, command-line automation, database projects, pivot tables, and reports. Enterprise lists source control, data generation, documentation, database copying, invalid-object finding, and script-folder comparisons. A free plan is available, while paid access starts at $9.95 per user per month. Devart was founded in 1997.

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driftcurve

driftcurve is an open-source household retirement planning engine for projecting finances and comparing retirement outcomes. It can model multiple household members, account types, debts, mortgages, pensions, Social Security and property sales. Its default Monte Carlo simulations resample annual market data from 1966–2024 across equities, Treasuries, residential real estate, inflation and Bitcoin. Users can adjust historical returns toward their own long-run targets or enter static annual assumptions. Risk-based spending guardrails solve for monthly spending and suggest adjustments based on portfolio thresholds and probability of success. A Compare page puts two scenarios on one chart. In default local mode, household data and saved scenarios stay in browser localStorage, while forecasts run through a Python backend; there is no account or server-side database persistence. Optional multi-user mode adds email/password accounts, server-side sessions, and stored profiles and scenarios. The project offers forecast and guardrails API endpoints, plus authentication, profile and scenario endpoints in multi-user mode. It is free under Apache License 2.0. The maker describes it as an educational modeling tool, not licensed financial, investment, tax or legal advice.

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