Software Alternatives & Startups
Register | Login

Delighted VS mlsql

Compare Delighted VS mlsql and see what are their differences

Delighted

The fastest and easiest way to gather actionable feedback from your customers

Rating
0 reviews
Pricing
Freemium Free trial $224 / Monthly (10,000 send limit, 5 projects, 10 users, 35+)
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
BoldDesk
BoldDesk is a powerful autonomous AI platform that helps businesses deliver faster, smarter customer support from a single workspace. 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?

mlsql might be a bit more popular than Delighted. We know about 2 links to it since March 2021 and only 2 links to Delighted.

social mentions
2 vs 2
Customer Feedback popularity
100% vs 0%
alternatives listed
235 vs 1

Base details

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

Delighted
mlsql
Website delighted.com github.com
Pricing
Freemium Free trial $224 / Monthly (10,000 send limit, 5 projects, 10 users, 35+) Official pricing
—
Company 2013 —
Listed in
Customer Feedback Surveys User Feedback Customer Experience Management Customer Experience Employee Feedback Net Promoter Product Market Fit Customer Support +6
Education LMS Online Learning Web App +1

About Delighted and mlsql

In their own words, as submitted to SaaSHub.

Delighted
mlsql

Deliver customer feedback and employee experience surveys across various channels. Control when and where surveys are delivered for point-in-time feedback at key points in the customer journey and employee lifecycle. No code required.

Read more about Delighted

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

Delighted 11 features
mlsql 0 features
  • Survey Distribution via Email, Web, Link, SDK and Kiosk
  • Prebuilt Reports and Trend Reports
    Yes
  • AI Suggested Filters
    Yes
  • Customize Branding
    Yes
  • Survey Types: NPS, CSAT, CES, 5-Star, Thumbs, Smiley, eNPS, PMF
  • Send Survey from Your Domain
    Yes
  • 30+ Languages
  • Autopilot to Schedule Delivery
    Yes
  • Survey Templates
    Yes
  • Additional Questions
    Yes
  • Testimonials

No features have been listed yet.

Analysis

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

Delighted
mlsql

Overall verdict

  • Yes, Delighted is generally considered a good tool for collecting customer feedback and measuring customer satisfaction.

Why this product is good

  • Delighted is known for its simplicity and effectiveness in gathering Net Promoter Score (NPS) data. It offers a user-friendly interface, easy integration with various platforms, and real-time feedback collection. Delighted helps businesses understand customer sentiment and improve their products or services based on the feedback received.

Recommended for

  • Businesses looking to implement NPS surveys quickly and efficiently
  • Companies seeking real-time feedback from customers
  • Organizations that want to integrate feedback tools with existing platforms like Slack, Salesforce, and Shopify
  • Small to medium-sized businesses aiming for a cost-effective customer feedback solution

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.

Delighted 2 videos + Add
mlsql 0 videos + Add

Delighted used by Bonobos

More videos

  • - NPS Setup in 15 Seconds

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
Delighted
mlsql
100% 100%
Customer Feedback
0% 0%
0% 0%
Web App
100% 100%
100% 100%
Surveys
0% 0%
0% 0%
LMS
100% 100%

User comments

Share your experience with using Delighted 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.

Delighted 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.

Delighted 2 mentions
mlsql 2 mentions
  • MSP Feedback Survey / Net Promoter - Third Party Executed
    We've used https://delighted.com and been pretty happy with it. It's sent to customers during "key intersects" (onboarding, after projects, etc.) and after events. The results stream into Teams and we also track/analyze them to improve... Source: almost 5 years ago
  • Creating a simpler NPS, CSAT, CES service like Delighted?
    After seeing a business idea newsletter mention a SaaS that help monitor you NPS score, I decided to look a little more into it. There are a LOT of solutions out there, but they're also wildly expensive since I assume they're targeting... Source: over 5 years ago
  • 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 Delighted and mlsql

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

Loading...