Software Alternatives & Startups

DelivApp VS mlsql

Compare DelivApp VS mlsql and see what are their differences

DelivApp

White-Label Online Ordering, Loyalty and Delivery Management Software Platform

Rating
0 reviews
Pricing
Paid Free trial $459 / Monthly (2500 monthly orders)
mlsql

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

Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Online Services popularity
100% vs 0%
alternatives listed
131 vs 1

Base details

Website, pricing, platforms and company facts side by side.

DelivApp
mlsql
Website delivapp.com github.com
Pricing
Paid Free trial $459 / Monthly (2500 monthly orders) Official pricing
—
Platforms
Web Android iOS REST API Shopify Wix Azure +4
—
Company Startup from Israel · 10 - 19 employees · 2017 —
Listed in

About DelivApp and mlsql

In their own words, as submitted to SaaSHub.

DelivApp
mlsql

DelivApp is the one-stop, white-label platform that puts restaurants, delivery marketplaces, and multi-location franchises in full control of the screen-to-door journey. The modular suite packs everything you need under a single login: branded web & mobile ordering, self-service kiosks, a...

Read more about DelivApp

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

DelivApp 12 features
mlsql 0 features
  • Automated dispatch
  • Customizable region settings
  • Separate delivery pricing settings for merchants and delivery people
  • Merchant portal & app
  • Courier app
  • Reports
  • Order tracking page for consumers
  • Ordering platform
  • Loyalty program
  • Integrations with POS
  • Third-party ordering integrations
  • White-label fleets integrations (Wolt Drive, Yango Delivery, DoorDash)

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

DelivApp
mlsql

Overall verdict

  • DelivApp is a well-regarded platform for managing delivery operations, particularly for businesses involved in on-demand delivery services.

Why this product is good

  • DelivApp is praised for its flexibility, allowing businesses to create custom workflows that suit their specific needs. It offers an intuitive interface and robust feature set that includes order management, dispatching, and real-time tracking. The platform is adaptable for a range of industries including food delivery, logistics, and retail, enabling businesses to efficiently manage operations and customer interactions. Additionally, DelivApp is known for its scalable architecture, which can accommodate businesses of various sizes.

Recommended for

    {"retail_businesses" => "Retailers who require an efficient way to handle same-day or on-demand delivery services for their customers.", "logistics_companies" => "Logistics and courier companies that need a reliable system for optimizing delivery routes and tracking shipments in real time.", "food_delivery_businesses" => "Restaurants and food delivery services looking for a comprehensive platform to manage orders, drivers, and customer interactions.", "multi-service_businesses" => "Companies offering multiple types of delivery services and seeking a versatile solution to handle diverse operational needs."}

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

Videos

Walkthroughs and reviews on video.

DelivApp 2 videos + Add
mlsql 0 videos + Add

DelivApp: All-In-One E-Commerce Platform For Restaurants

More videos

  • - Delivery Management Order Flow

No mlsql videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
DelivApp
mlsql
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
LMS
100% 100%

Questions & Answers

As answered by people managing DelivApp and mlsql.

What makes your product unique?

DelivApp's answer

DelivApp stands out by offering an all‑in‑one, API‑first delivery platform that combines online ordering, delivery management, multi‑tier account hierarchy, and loyalty tools in a fully white‑label solution. Its hybrid delivery engine intelligently integrates in‑house couriers with external fleet services, applying dispatching rules and bidding to optimize routing and costs—while still allowing manual control when needed.

Why should a person choose your product over its competitors?

DelivApp's answer

Businesses should consider DelivApp because it eliminates the need to juggle multiple vendors. You get ordering (web, app, kiosk, call‑center), real‑time courier management, customizable dispatch automation, loyalty programs, and analytics all under one roof. Its modular, scalable architecture supports global franchises, local dark kitchens, and courier networks alike—granting full branding control while reducing reliance on third‑party aggregators.

How would you describe the primary audience of your product?

DelivApp's answer

DelivApp is designed for restaurants (single or multi‑location), food‑service franchises, dark kitchens, courier/logistics operators, courier cooperatives, and entrepreneurs building local delivery marketplaces. It's especially valuable for organizations requiring centralized control with decentralized autonomy, enabling regional units or franchisees to operate under a single platform.

What's the story behind your product?

DelivApp's answer

Founded in 2014 by CTO/CEO Yan Zagatsky—after his experience building a fast‑dining restaurant—the team set out to solve gaps in delivery technology. They created a system to streamline on‑demand logistics for restaurants with their own drivers. Over time, DelivApp has grown into a full‑stack solution, processing millions of orders yearly, with a mission to level the playing field for mid‑sized businesses unable to build internal delivery tech.

Which are the primary technologies used for building your product?

DelivApp's answer

DelivApp runs on a modern, API‑driven microservices architecture. It features web-based admin and merchant portals, native iOS and Android courier apps, intelligent dispatch logic, real‑time tracking, order bundling, compensation logic, and flexible delivery rules. It supports deep integrations (Shopify, WooCommerce, aggregator platforms) and offers a developer API for further extension and customization.

Who are some of the biggest customers of your product?

DelivApp's answer

DelivApp’s platform powers notable businesses including FullGaz—a tech‑enabled delivery operator that saw a 10× increase in orders; Golda and Anita Ice Cream franchises spanning over 130 locations; OnTime—a franchise of micro‑marketplace outlets in small cities; and local delivery brands like NINJAS.jetzt, Smartioo, Wolfnights, and Discover Thabazimbi, all praising the platform’s dispatching, loyalty, and support capabilities.

User comments

Share your experience with using DelivApp and mlsql. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

DelivApp no reviews yet
mlsql no reviews yet

We have no reviews of mlsql yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

DelivApp 0 mentions
mlsql 2 mentions

Tracking DelivApp since Jul 2021.

  • Download the files from Docker Container and locally edit them
    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
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Alternatives to DelivApp and mlsql

When comparing DelivApp and mlsql, you can also consider the following products.