
FriendlyData
Infer SQL queries from plain-text questions and table headers.

Bloom Analytics
Profit by SKU
Profit Bid
Triple Whale
ProfitHelm
MarginReality
Mipler
Financial decision-making for Shopify brands, connecting sales and marketing to show what drives profit - and what to do next.

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | lucris.io |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Lucris is a financial decision-making platform for Shopify and DTC brands. It brings sales, advertising, cost, and financial data together so teams can see what drives profit - and what to do next. Unlike dashboards that only report numbers, Lucris explains what changed, why it matters, and which...
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Lucris yet.
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Lucris: Know What’s Driving Profit and What to Do Next
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing mlsql and Lucris.
Lucris's answer:
Lucris turns Shopify, marketing, and cost data into clear financial decisions. It explains what changed, why it matters, and what to do next - not just more charts.
Lucris's answer:
Choose Lucris if you care about profitable growth, not just revenue or attribution. It connects marketing performance to contribution margin, CAC payback, cash flow, and profit.
Lucris's answer:
Shopify and DTC founders, operators, finance leads, and agencies that need clearer, faster growth decisions.
Lucris's answer:
Lucris grew out of hundreds of DTC growth audits. Brands had plenty of dashboards but still struggled to turn their data into confident decisions. Lucris was built to close that gap.
Lucris's answer:
RedwoodJS, React, GraphQL, PostgreSQL, Prisma, Supabase, and OpenAI, with integrations for Shopify, Meta Ads, Google Ads, and Slack.
Share your experience with using mlsql and Lucris. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
Tracking Lucris since Aug 2026.
When comparing mlsql and Lucris, you can also consider the following products.


Bloom is a Native Shopify Analytics and Attribution app. See which products, countries, and campaigns are profitable, and which ad platforms truly generate profit via multi-touch attribution. Create custom dashboards, get insights. Connect with MCP
Compare Bloom Analytics to mlsql or Lucris: