Software Alternatives & Startups

mlsql VS Embeddable

Compare mlsql VS Embeddable and see what are their differences

mlsql

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

Rating
0 reviews
Embeddable

The toolkit for building fast, interactive, fully-custom analytics experiences into your app.

Rating
0 reviews
Pricing
Paid
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?

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

social mentions
2 vs 2
Web App popularity
100% vs 0%
alternatives listed
1 vs 75

Base details

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

mlsql
Embeddable
Website github.com embeddable.com
Pricing —
Paid
Company — Startup from the United Kingdom · 20 - 49 employees · 2023
Listed in

About mlsql and Embeddable

In their own words, as submitted to SaaSHub.

mlsql
Embeddable

No description of mlsql yet.

Build Remarkable Analytics Experiences. No more 'Build vs. Buy'. Embeddable is the embedded analytics tool where you own the front-end code and we handle everything else. Now you can build fully-bespoke, fast-loading charts and dashboards in your app without the engineering costs. Delight your...

Read more about Embeddable

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
Embeddable 14 features

No features have been listed yet.

  • Cloud-Hosted Option
  • Self-Hosted Option
  • Frontend SDK
  • No-code Dashboard Builder
  • Performant Embedding
  • Row-Level Security
  • Configurable Cache
  • Compatible with Major Databases
  • Compatible with Charting Libraries
  • Template Charting Components Provided
    Included
  • Dedicated Account Management
  • Version Control
  • Audit Logs
  • Documentation

Analysis

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

mlsql
Embeddable

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

No analysis of Embeddable yet.

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
mlsql
Embeddable
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing mlsql and Embeddable.

How would you describe the primary audience of your product?

Embeddable's answer:

Software companies who care about the UX and loading speed of their customer-facing analytics.

What makes your product unique?

Embeddable's answer:

Get the best of 'Build vs. Buy' in one stack-agnostic solution. Embeddable gives you full control over the frontend of your analytics experience, and handles the backend for you. No longer do you have to choose between a limited out-of-the-box solution, or building everything from scratch.

What's the story behind your product?

Embeddable's answer:

Embeddable is from the team behind Trevor.io -- a popular internal BI tool which also allows you to embed dashboards into your app. We realised embedding dashboards from a BI tool into your app wasn't the 'dream solution', and building analytics from scratch was super expensive... so we built Embeddable from the ground up to enable teams to deliver fully-bespoke, highly-performant analytics in their apps for their customers in 10% of the time.

Who are some of the biggest customers of your product?

Embeddable's answer:

  • Scalapay
  • Adthena
  • Irwin
  • EtonX
  • Resident Advisor
  • Facilities Solutions Group (FSG)
  • Multibrain
  • Raydiant
  • ThinkCERCA
  • Tixly
  • Softools
  • Faheem App
  • Just Move In
  • Any Creek

Why should a person choose your product over its competitors?

Embeddable's answer:

If you want full control over the UX of your customer-facing analytics experience, but don't want to invest months of developer time on building and maintaining a fully-custom build -- OR -- if you're using an embedded analytics too already that loads slowly and doesn't look and feel like the rest of your platform.

User comments

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

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Reviews and articles

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

mlsql no reviews yet
Embeddable no reviews yet

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

  • 6 Best Looker alternatives
    trevor.io · Jun 2024

    After a successful, oversubscribed Private Beta, Embeddable is now publicly available. More information on how to work with Embeddable can be found on their homepage at embeddable.com. Get in touch with the Embeddable...

  • Power BI Embedded vs Looker Embedded: Everything you need to know
    embeddable.com · Nov 2023

    The main differences between Power BI Embedded and Embeddable are performance, price, and customizability. Embeddable gives you full control over your charting components and data models. It’s also built from the...

  • Embedded analytics in B2B SaaS: A comparison
    medium.com · Nov 2023

    I’m happy to say that we’ve enrolled in the beta program of Embeddable. After learning all the above it seems like this is the option we’d want to invest in. We’ll keep you posted on how this pans out, but we’re...

Social recommendations and mentions

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

mlsql 2 mentions
Embeddable 2 mentions
  • 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
  • AI in BI tools: why we're not there yet
    Then comes data modeling. BI tools such as Embeddable need to know how different tables and fields relate to each other. Someone has to define what terms like “top customer” or “Q3 revenue” actually mean. Without this, the AI won't know... - Source: dev.to / over 1 year ago
  • Apache Superset
    It’s still pretty new but build by an experienced team. It’s commercial software though. https://embeddable.com/. - Source: Hacker News / over 2 years ago

Alternatives to mlsql and Embeddable

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