Software Alternatives, Accelerators & Startups

QuantConnect VS Embeddable

Compare QuantConnect VS Embeddable and see what are their differences

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QuantConnect logo QuantConnect

QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.

Embeddable logo Embeddable

The toolkit for building fast, interactive, fully-custom analytics experiences into your app.
  • QuantConnect Landing page
    Landing page //
    2023-10-15
  • 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

QuantConnect features and specs

  • Comprehensive Data Access
    QuantConnect provides access to a wide range of financial data which is crucial for developing and testing trading algorithms. This includes equities, futures, FOREX, and cryptocurrencies, which allows users to backtest strategies with historical data.
  • Cloud-Based Development
    The platform is cloud-based, which means users can access their projects from anywhere and don't need to worry about the computational resources required for large backtesting tasks. This also facilitates easy collaboration.
  • Wide Language Support
    QuantConnect supports multiple programming languages including C#, Python, and F#. This allows developers to choose from different languages they are comfortable with while coding algorithms.
  • Lean Algorithm Framework
    The open-source Lean Algorithm Framework is at the core of QuantConnect, providing a robust and flexible foundation for algorithmic trading strategies which can be customized to meet specific needs.
  • Community and Collaboration
    QuantConnect has an active community where users can share ideas, collaborate on projects, and seek help from others which enhances learning and innovation.

Possible disadvantages of QuantConnect

  • Complexity for Beginners
    The platform may be overwhelming for beginners due to the vast array of features and the requirement for programming skills, which can be a steep learning curve for some users.
  • Pricing Structure
    While QuantConnect offers free access with certain limitations, advanced features and higher data allowances come at a cost. This pricing may be a barrier for casual or small-scale users.
  • Limited Asset Classes for Free Users
    Free users may face limitations in terms of the number of asset classes and data sources available, which could restrict the range of strategies they are able to develop and test.
  • Dependence on Internet Connection
    As a cloud-based platform, an active internet connection is required to develop and execute algorithms, which could be a problem for users with unreliable internet access.
  • Execution Latency
    Running algorithms on a cloud platform might introduce latency issues which can be a disadvantage if executing strategies that require ultra-low latency transaction speeds.

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

QuantConnect videos

Difference between Quantopian Quantiacs Quantconnect

More videos:

  • Review - Step by Step Algorithmic Trading Guide with QuantConnect

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 QuantConnect and Embeddable)
Finance
100 100%
0% 0
Business Intelligence
0 0%
100% 100
Tool
100 100%
0% 0
Data Dashboard
0 0%
100% 100

Questions & Answers

As answered by people managing QuantConnect 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 QuantConnect and Embeddable

QuantConnect Reviews

TradingView Alternatives For Budget Conscious Traders
QuantConnect is a quantitative trading platform where you can develop algorithms in Python. Itโ€™s gaining popularity for its collaborative environment and large data library that supports backtesting and live trading. QuantConnect is flexible and supports multiple asset classes so itโ€™s good for algorithmic traders.
Source: medium.com

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, QuantConnect should be more popular than Embeddable. It has been mentiond 9 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.

QuantConnect mentions (9)

  • I'm a dev, we're in 2023, what should i start with ?
    I use https://quantconnect.com/ to backtest new algos and discover new algos. They support C# and python. Source: over 3 years ago
  • Where can I Learn OOP for trading in python? Iโ€™ve been looking for some information, but I didnโ€™t find anything, any help?
    Use quantconnect.com, their API forces you to use OOP there so it's a good practice. Source: almost 4 years ago
  • Backtesting tools
    For stocks and crypto: QuantConnect and Backtrader For options: MesoSim and OptionNetExplorer. Source: about 4 years ago
  • what do you guys think about Joel Greenblatt and his magic formula of investing? backtests of his formula return on average above 20% per annum
    Only you can teach you how to do it. quantconnect.com has a lot of tutorials and other documentation that should be enough for you to learn from. I'm still learning the process of backtesting and I'm not aware of an "easy" way to perform this type of work. Source: about 4 years ago
  • What are some things you have automated, using python?
    Thanks for the pointer. quantconnect.com and interactive brokers. I have a little fantasy that I'll do this once I retire and hand over 1% of my nest egg to it; see how it does... Hand over some more, etc... Source: almost 5 years 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 QuantConnect and Embeddable, you can also consider the following products

Quantopian - Your algorithmic investing platform

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

Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.

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

QuantRocket - QuantRocket is an all-in-one end-to-end data trading platform and is securing your connection to other trading applications that will be the key to query data and submit orders.

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.