Software Alternatives, Accelerators & Startups

fal VS Embeddable

Compare fal VS Embeddable and see what are their differences

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.

fal logo fal

Generative media platform for developers. Build the next generation of creativity with fal. Lightning fast inference.

Embeddable logo Embeddable

The toolkit for building fast, interactive, fully-custom analytics experiences into your app.
  • fal Landing page
    Landing page //
    2025-02-12
  • Embeddable Headless Embedded Analytics
    Headless Embedded Analytics //
    2025-03-18

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 customers, reduce engineering overheads, and deliver your dream experience, fast. Compatible with all major databases. Cloud & Self-hosted. Multi-tenancy. Open source component library + more

Embeddable

Pricing URL
-
$ Details
paid
Release Date
2023 August
Startup details
Country
United Kingdom
State
London
Founder(s)
Tom Gardiner, Harry Marshall
Employees
20 - 49

fal features and specs

  • Integration with dbt
    Fal enhances dbt by allowing you to run Python scripts within your data models, making it easier to perform complex data transformations and analyses directly in your data pipeline.
  • Flexibility
    Fal provides a flexible environment for data transformation and analysis, as Python offers a vast library ecosystem, enabling the implementation of custom logic and statistical computations.
  • Automation
    With the ability to incorporate Python scripts, Fal allows users to automate data processes, improving efficiency and reducing the potential for human error.
  • Community Support
    Being an open-source project, Fal has an active community, which provides support, examples, and improvements to the tool.

Possible disadvantages of fal

  • Complexity
    Integrating Python scripts into dbt models can increase the complexity of the data pipeline, making it harder to maintain and understand for teams not familiar with Python.
  • Dependency Management
    Managing Python dependencies can become challenging, especially if the data team lacks experience with Python environments and package management.
  • Performance Overhead
    Running Python scripts might introduce additional overhead compared to SQL-only solutions, potentially impacting the performance of data transformations in large-scale operations.
  • Steep Learning Curve
    For teams primarily familiar with SQL or other data transformation tools, there may be a learning curve associated with incorporating Python scripting into their workflows with Fal.

Embeddable features and specs

  • 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

fal videos

DSA FAL Review: The Baby Poop Commando

More videos:

  • Review - Upgrading the Classic Rhodesian FAL Rifle: Is it Worth It?
  • Review - FN FAL - The Best Battle Rifle Ever Made! #fnaf #belgium #nato #coldwar #cod

Embeddable videos

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

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Category Popularity

0-100% (relative to fal and Embeddable)
AI
100 100%
0% 0
Business Intelligence
0 0%
100% 100
Developer Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100

Questions & Answers

As answered by people managing fal 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

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Reviews

These are some of the external sources and on-site user reviews we've used to compare fal and Embeddable

fal Reviews

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Embeddable Reviews

6 Best Looker alternatives
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 team for pricing.
Source: trevor.io
Power BI Embedded vs Looker Embedded: Everything you need to know
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. Itโ€™s also built from the ground up to enable companies to deliver fully bespoke, highly-performant analytics experiences to their customers, without requiring an expensive in-house build....
Source: embeddable.com
Embedded analytics in B2B SaaS: A comparison
Iโ€™m happy to say that weโ€™ve enrolled in the beta program of Embeddable. After learning all the above it seems like this is the option weโ€™d want to invest in. Weโ€™ll keep you posted on how this pans out, but weโ€™re excited about what Embeddable is building and is going to offer.
Source: medium.com

Social recommendations and mentions

Based on our record, fal should be more popular than Embeddable. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

fal mentions (10)

  • From Backend Engineer to Building AI Infrastructure at a Startup
    In Episode 4 of Making Software, I talked to Matteo Ferrando, Platform and Infra Engineer at fal.ai, about exactly that. - Source: dev.to / 3 months ago
  • Why Every AI Image Generator Fails at Text (And One That Finally Doesn't)
    Get a key at fal.ai โ€” they have a free tier. - Source: dev.to / 3 months ago
  • I Generated 35 Million AI Images. The Model Was Never the Product.
    When you're calling AI image generation APIs at scale, you're probably using one provider. Maybe fal.ai, maybe Replicate, maybe Together.ai. You picked one, integrated it, and moved on. - Source: dev.to / 3 months ago
  • Launch HN: Prism (YC X25) โ€“ Workspace and API to generate and edit videos
    We access models through Fal (https://fal.ai). We offered day 0 support for Kling 3.0 and launch models on our platform the day they are live. - Source: Hacker News / 4 months ago
  • JuiceFS Enterprise 5.3: 500B+ Files per File System & RDMA Support
    JuiceFS Enterprise Edition is designed for high-performance scenarios. Since 2019, it has been applied in machine learning and has become one of the core infrastructures in the AI industry. Its customers include large language model (LLM) companies such as MiniMax and StepFun; AI infrastructure and applications like fal and HeyGen; autonomous driving companies like Momenta and Horizon Robotics; and numerous... - Source: dev.to / 5 months ago
View more

Embeddable mentions (2)

  • 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 โ€œtop customerโ€ or โ€œQ3 revenueโ€ actually mean. Without this, the AI won't know where to look or how to answer even basic questions. - Source: dev.to / about 1 year ago
  • Apache Superset
    Itโ€™s still pretty new but build by an experienced team. Itโ€™s commercial software though. https://embeddable.com/. - Source: Hacker News / over 2 years ago

What are some alternatives?

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

Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.

Luzmo - From data to decisions, damn fast. Embed beautiful, easy-to-use dashboards in your SaaS product in days, not months.

OpenRouter - A router for LLMs and other AI models

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

Replicate.com - Run open-source machine learning models with a cloud API

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.