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InAppStory VS mlsql

Compare InAppStory VS mlsql and see what are their differences

InAppStory

ONE PLATFORM FOR IN-APP COMMUNICATION AND GAMIFICATION

Rating
0 reviews
Pricing
Freemium Free trial
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Alternatives Is it good?
mlsql

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

Rating
0 reviews
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Alternatives Is it good?
warmup.rocks
warmup.rocks keeps your CDN cache warm in every edge location worldwide: Cloudflare, Fastly, Akamai, CloudFront and more. Warming from 42 countries, hit-ratio analytics. sponsored
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
Web Stories popularity
100% vs 0%
alternatives listed
79 vs 1

Base details

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

InAppStory
mlsql
Website inappstory.com github.com
Pricing
Freemium Free trial Official pricing
—
Platforms
Android iOS Web
—
Company Startup from Portugal · 20 - 49 employees · 2021 —
Listed in
SaaS Web Stories Marketing User Engagement User Onboarding And Engagement Customer Interaction Design Tools Content Marketing Gamification Mobile SDK +7
Education LMS Online Learning Web App +1

About InAppStory and mlsql

In their own words, as submitted to SaaSHub.

InAppStory
mlsql

InAppStory offers an all-in-one customer engagement platform for mobile apps. With tools like stories, mini-games, in-app messaging, and personalized content, we help businesses connect with their users through dynamic, visual communication. Our no-code solutions make it easy to enhance...

Read more about InAppStory

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

InAppStory 4 features
mlsql 0 features
  • In-App Stories
    Native, Instagram-style Stories that surface product updates, offers, and tutorials at the right moment inside the app. Interactive widgets, triggers, targeting, and analytics turn passive taps into feature adoption, zero-party data, and shoppable journeys.
  • Gamification
    A Game Center with 12+ ready-to-use game mechanics (Wheel of Fortune, Mystery Boxes, Advent Calendar, Puzzle, Match 3, Memories, and more) shaped by 1,000+ real campaigns. Pick a game, customize design and rules with no code, and launch across web and mobile to drive engagement, retention, and promo-code distribution — with custom games available on request.
  • In-App Messages
    Personalized, event-triggered messages delivered as full-screen banners, modals, bottom sheets, and pop-ups at natural touchpoints in the user journey. Advanced targeting on segments, behavior, and CDP data, dynamic placeholders for personalization, and real-time analytics make them far more effective than push for actions that need immediate context.
  • SMART Banners
    Targeted in-app banners that keep offers, loyalty rewards, countdowns, and partner placements visible exactly where users make decisions — without interrupting the flow. They reinforce stories, in-app messages, and mini-games, and support upsells and monetization by turning existing intent into action.

No features have been listed yet.

Analysis

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

InAppStory
mlsql

No analysis of InAppStory yet.

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.

InAppStory 3 videos + Add
mlsql 0 videos + Add

InAppStory 2.0

More videos

  • - A Quick Demo of Game Creation
  • - Welcome to InAppStory: A Quick Demo of Stories Creation

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
InAppStory
mlsql
100% 100%
Web Stories
0% 0%
0% 0%
Online Learning
100% 100%
100% 100%
Marketing
0% 0%
0% 0%
Web App
100% 100%

Questions & Answers

As answered by people managing InAppStory and mlsql.

Why should a person choose your product over its competitors?

InAppStory's answer

Most competitors do Stories and stop there; InAppStory lets you consolidate Stories, mini-games, in-app messages, and zero-party data collection into one SDK and dashboard, replacing several point tools. It's built for measurable outcomes and backed by an in-house Creative Studio, a 30-day free trial, and proven scale of 25M daily viewers and 30,000+ stories created.

What's the story behind your product?

InAppStory's answer

Founded by CEO Vlad Lastovsky, InAppStory started from a simple insight: apps struggled to hold attention against social media's video and Stories formats, so he built a native way to bring that format inside apps. It has since grown from a single Stories tool into a full engagement platform (Stories + games + messaging + banners), now an international company.

What makes your product unique?

InAppStory's answer

InAppStory is an all-in-one in-app engagement platform, not just a Stories tool — it combines native Stories, fully playable in-Stories mini-games, in-app messaging, banners, and interactive widgets in one no-code console. It runs through a single SDK for iOS, Android, Flutter, React Native, and web, so teams update everything in real time without developers.

How would you describe the primary audience of your product?

InAppStory's answer

Product, marketing, and growth teams at mid-market and enterprise companies with an existing mobile app who want better engagement, onboarding, and retention without heavy engineering. It's strongest in e-commerce and retail, finance, telecom, and travel, with global adoption across EMEA, the Middle East, and CIS.

Which are the primary technologies used for building your product?

InAppStory's answer

InAppStory ships as native and cross-platform SDKs — Swift (iOS), Kotlin/Java (Android), Flutter, React Native, and web — with story content rendered via a WebView layer for rich HTML/CSS/JS interactivity, so new formats deploy without app updates. Content, targeting, and analytics run from a cloud-based no-code console that integrates with tools like Google Analytics, Amplitude, and CDPs.

User comments

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

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Social recommendations and mentions

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

InAppStory 0 mentions
mlsql 2 mentions

Tracking InAppStory since Mar 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

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