Lightdash

An open source alternative to looker built on dbt

Available providers

Why use Lightdash on Plural?

Plural helps you deploy and manage the lifecycle of open-source applications on Kubernetes. Our platform combines the scalability and observability benefits of managed SaaS with the data security, governance, and compliance benefits of self-hosting Lightdash.

If you need more than just Lightdash, look for other cloud-native and open-source tools in our marketplace of curated applications to leapfrog complex deployments and get started quickly.

Lightdash’s website GitHub License Installing Lightdash docs

Deploying Lightdash is a matter of executing these 3 commands:

AWS

Azure

GCP

plural bundle install lightdash lightdash-aws

plural build

plural deploy --commit "deploying lightdash"

Read the install documentation

Lightdash’s readme

The open-source Looker alternative.

Website • Watch demo • Docs • Join Slack Community

Enable everybody in your company to answer their own questions using data

connect your dbt project --> add metrics into dbt --> share insights with your team

If you're a fan, star the repo ⭐️ (we plant a tree for every GitHub star we get 🌱).

Come join the team, we're hiring.

Features:

[x] 🙏 Familiar interface for your users to self-serve using pre-defined metrics
[x] 👩‍💻 Declare dimensions and metrics in yaml alongside your dbt project
[x] 🤖 Automatically creates dimensions from your dbt models
[x] 📖 All dbt descriptions synced for your users
[x] 🧮 Table calculations make it easy to dig into your data, on the fly
[x] 🕵️‍♀️ Lineage lets you see the upstream and downstream dependencies of a model
[x] 📊 Simple data visualisations for your metrics
[x] 👷‍♂️ Save charts & build dashboards to share your insights with your team
[x] 🚀 Share your work as a URL or export results to use in any other tool

Something missing? Check out our open issues to see if what you're looking for already exists (and give it a 👍). Otherwise, we'd love it if you'd open a new issue with your request 😊

Demo

Play with our demo app!

Quick start

1-click deploy

Deploy Lightdash with 1-click (free options available

Deploy your own hosted Lightdash instance with Heroku (free account available). Check the documentation page for more details.

Run locally

Take advantage of our installation script to easily run Lightdash locally. Check the documentation page for more details.

git clone https://github.com/lightdash/lightdash
cd lightdash
./scripts/install.sh

Deploy to production

Follow our kubernetes guide to deploy Lightdash to production using our community helm charts.

Sign up to Lightdash Cloud

You can avoid the hassle of hosting and configuring Lightdash yourself by signing up for Lightdash Cloud Public Beta . We'll let you know once we're ready to bring you on board 🙂

Getting started

Step 1 - ⚡️ Install Lightdash

Step 2 - 🔌 Connect a project

Step 3 - 👩‍💻 Create your first metric

Community Support

📣 If you want something a bit more, then head on over to our Slack Community where you’ll be able to chat directly with all of us at Lightdash and all the other amazing members of our community. We’re happy to talk about anything from feature requests, implementation details or dbt quirks to memes and SQL jokes!

You can also keep up to date with Lightdash by following us elsewhere:

About Lightdash

🗂 Keep all of your business logic in one place.

We let you define your metrics and dimensions directly in your dbt project, keeping all of your business logic in one place and increasing the context around your analytics.

No more deciding which of the four different values for total revenue is the right one (you can thank us later 😉).

🤝 Build trust in your data.

We want everyone at your company to feel like they can trust the data. So, why not show them that they can?

We bring the context you want around data quality into your BI tool so people know that they can trust the data.

🧱 Give users meaningful building blocks to answer their own data questions.

With Lightdash, you can leave the SQL to the experts. We give your data team the tools they need to build metrics and dimensions that everyone else can use.

So, anybody in the business can combine, segment, and filter these metrics and dimensions to answer their own questions.

📖 Open source, now and forever

Lightdash is built with our community, for our community.

We think that a BI tool should be affordable, configurable, and secure - and being open source lets us be all three 🙂

🤑 Affordable analytics

Love Looker, but don't love Looker's price tag?

With Lightdash, we offer a free self-hosted service (it's all just open source!), or an affordable cloud-service option if you're looking for an easy analytics set up.

Docs

Have a question about a feature? Or maybe fancy some light reading? Head on over to our Lightdash documentation to check out some tutorials, reference docs, FAQs and more.

Reporting bugs and feature requests

Want to report a bug or request a feature? Open an issue.

The Lightdash Forest

We're planting trees with the help of the Lightdash community.

Tree planting is one of the simplest and most cost-effective means of mitigating climate change, by absorbing CO2 from the atmosphere. So we thought it would be pretty neat to grow a forest while we grow Lightdash.

Want to help us grow our forest?

Just star this repo! We plant a tree for every star we get on Github. ⭐️ ➡️ 🌱

We plant trees with TIST, you can read all about them here: https://program.tist.org/.

Developing locally & Contributing

We love contributions big or small, check out our guide on how to get started.

See our instructions on developing Lightdash locally.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

_{Rahul Jain} 📖	_{Oliver Laslett} 💻 📖 🐛 🎨 🚇	_{Katie Hindson} 🐛 📖 🎨 💻 🤔	_{Hamzah Chaudhary} 📖 💻 🤔 🐛	_{Harry Grieve} 📖	_{Dominik Dorfmeister} 🎨	_amin-nejad 🐛
_{Mitja Potočin} 💻	_{Jose Rego} 💻 🎨 📖 🐛 ⚠️ 🚇	_Rahul 🐛 🎨 💻 📖	_{Jeshua Maxey} 🐛	_{Sreejith Madhavan} 🐛	_skame 🐛 🎨	_sgoley 📖
_djayatillake 🎨 💻 🤔	_Mukesh 🔣 🐛	_{Andreia Freitas} ⚠️ 📖	_jb 💻 🐛 🎨	_{Amy Chen} 📖	_{John Keech} 🚇	_{Dr. Ernie Prabhakar} 🐛 🤔
_PriPatel 🎨 🐛 🤔	_NaomiJohnson 🎨 🐛	_{Rich Shen} 💻 ⚠️ 🐛	_{David Gasquez} 🤔 🎨	_xjaner 🤔	_{Chris Bol} 🤔	_{Anil V} 🤔
_rlebrao 🤔 🐛	_philcarr-tsl 🐛 🔣	_{HashimsGitHub} 🚇	_{Nathalia Buitrago Jurado} 📖 💻 🐛 🎨	_norbag 🐛	_Shrpp 🐛	_{Cuong Vu} 🐛
_{Takaaki Yoshikawa} 🤔	_nkotlyarov 🐛	_{kim monzon} 🤔	_rverheijen ⚠️ 🐛	_{Spencer Carrucciu} 🤔	_{Mark Olliver} 🐛	_{gary-beautypie} 🐛
_{André Claudino} 💻 🚇	_{Jim Park} 🚇	_gc-p 🐛	_{Michał Łazowik} 💻	_{Chun Wei} 🤔	_{snyh-paulhenderson} 🤔	_{Frank Hoffsümmer} 🐛
_{Sarah Moens} 📖	_{Abhishek K M} 💻	_{Javier Rengel Jiménez} 💻 🐛 ⚠️ 🚇 📖	_Fisa 🐛	_JoelAlander 🐛	_{Chad Floyd} 🤔	_{André Claudino} 🤔
_12ian34 📖 🐛 💻	_raphaelauv 🐛 📖	_BA-CY 🤔	_{John Romanski} 🐛	_{Jamie Davenport} 🐛	_{Marcus Windmark} 🤔	_{Shruti Kuber} 📖
_Fszta 📖	_{Mohamed Muhsin} 💻	_magants 🤔	_{Martin Carlsson} 🤔 🐛	_{Tomas Čerkasas} 🤔	_TiFaBl 🤔	_{Eric Cecchi} 💻
_KristyMayer 🐛	_{rahulstomar08} 🤔	_{Charles Picowski} 🐛	_{Matt Machczynski} 🐛	_{Irakli Janiashvili} 💻 🐛 🎨 ⚠️	_{Gordon Lee} 🤔 📖	_Olly 🤔 🐛
_{gautamdoulani} 📖	_{David Peitinho} 🐛	_{Istvan Meszaros} 🤔	_Rif 📖	_{Phillip W.} 🤔	_{XiaozhouWang85} 🤔	_{Rebecca Sanjabi} 🐛
_{Kailin L} 🤔	_{Metin Karakus} 💻	_Yasmine 💻	_{Piotr Pilis} 💻	_{Judah Rand} 🐛	_{Annebelle Olminkhof} 📖	_{Victor Apolonio} 💻
_{Rodolfo Ferreira} 💻	_{Patrick Brusven} 💻

This project follows the all-contributors specification. Contributions of any kind welcome!

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Case Study – How Fnatic Deploys Their Data Stack with Plural

Fnatic is a leading global esports performance brand headquartered in London, focused on leveling up gamers. At the core of Fnatic’s success is its best-in-class data team. The Fnatic data team relies on third-party applications to serve different business functions with every member of the organization utilizing data daily. While having access to an abundance of data is great, it opens up a degree of complexity when it comes to answering critical business questions and in-game analytics for gaming members.

To answer these questions, the data team began constructing a data stack to solve these use cases. Since the team at Fnatic are big fans of open-source they elected to build their stack with popular open-source technologies.

Read full study

Fnatic’s Data Stack

FAQ

What makes Plural different?

Plural is open-source and self-hosted. You retain full control over your deployments in your cloud. We perform automated testing and upgrades and provide out-of-the-box Day 2 operational workflows. Monitor, manage, and scale your configuration with ease to meet changing demands of your business. Read more.

What cloud and infrastructure providers does Plural support?

We support deploying on all major cloud providers, including AWS, Azure, and GCP. We also support all on-prem Kubernetes clusters, including OpenShift, Tanzu, Rancher, and others.

Does Plural require access to my infrastructure?

No, Plural does not have access to any cloud environments when deployed through the CLI. We generate deployment manifests in the Plural Git repository and then use your configured cloud provider's CLI on your behalf. We cannot perform anything outside of deploying and managing the manifests that are created in your Plural Git repository. However, Plural does have access to your cloud credentials when deployed through the Cloud Shell. Read more.