Lightdash is an open source BI alternative to Looker, built for analysts on top of the modern data tools they already use and love. Lightdash brings your visual layer together with your data modelling and transformation layer, creating a single source of truth for data metrics for teams.
External link for Lightdash
Lightdash is an open-source BI alternative to Looker, built for data analysts on top of the modern data tools they already use and love. Lightdash brings your visual layer together with your data modelling and transformation layer, creating a single source of truth for data metrics for teams. - It's data developer-friendly and works with the tools your team already uses - Native integration with dbt for managing your metrics in one place, no more siloes of data! - Has an intuitive UI for self-serve analytics, no SQL needed - Keep everyone in the loop with native integrations for Slack, email, Google Sheets and more - Govern access to data and metrics easily, ensuring your team has access to the data they need
San Francisco, US
7 Bell Yard
London, England WC2A 2JR, GB
Lightdash reposted this
Excited to share how we successfully migrated 10+ years of legacy reporting systems to Lightdash at Collectors! Check out the blog to learn more about our migration journey and the lasting benefits it's bringing to our organization. #Data #Analytics #BusinessIntelligence #Lightdash
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🚀 Spotlight is here! Traditional BI tools force you to search through tables just to find the right starting point. Spotlight changes this by letting you discover, explore, and analyze metrics directly – no table hunting required. Behind the scenes, we: • Introduced Recharts for better performance, period-over-period comparison • Built a whole new UI suite of date filters to simplify comparisons • Streamlined our ways of working, getting polished work validated, fast • Shipped 200 tickets in just 6 weeks Explore Spotlight for your metrics-first experience ⬇️
Tables were built for storing data, not for consuming data. Yet, in all BI tools, you’re forced to choose a table before you can get answers. Today, we’re launching Spotlight, a new visual experience in Lightdash to discover and explore metrics… first. For example, let’s say you want to measure revenue. Your BI tool shows you 30 tables, and 5 of them look relevant; how do you know where to begin? Let’s be real; you’ll ask the data team for help. This is such an unnecessary barrier to analysis. Asking somebody to search through database schemas or semantic layer models is a massive roadblock to finding answers. With Spotlight, we’re serving up metrics in a simple consumable catalog that enables you to find your KPIs and metrics really easily. We’ve built it around how people “think” about data. We’re also launching two of our most requested features into the metrics explorer: ✅ Period over period analysis: compare metric performance against the same month last year ✅ Mix and match metrics: you can plot any combination of metrics together, no need to mess around with joins All Lightdash customers can access Spotlight starting today; read our launch post with more details below.
Excited to finally share this with the world! 🚀
Tables were built for storing data, not for consuming data. Yet, in all BI tools, you’re forced to choose a table before you can get answers. Today, we’re launching Spotlight, a new visual experience in Lightdash to discover and explore metrics… first. For example, let’s say you want to measure revenue. Your BI tool shows you 30 tables, and 5 of them look relevant; how do you know where to begin? Let’s be real; you’ll ask the data team for help. This is such an unnecessary barrier to analysis. Asking somebody to search through database schemas or semantic layer models is a massive roadblock to finding answers. With Spotlight, we’re serving up metrics in a simple consumable catalog that enables you to find your KPIs and metrics really easily. We’ve built it around how people “think” about data. We’re also launching two of our most requested features into the metrics explorer: ✅ Period over period analysis: compare metric performance against the same month last year ✅ Mix and match metrics: you can plot any combination of metrics together, no need to mess around with joins All Lightdash customers can access Spotlight starting today; read our launch post with more details below.
Lightdash reposted this
Excited to welcome Oliver Ramsay to the Lightdash team today! Oli is joining our Analytics Engineering Advocate team - looking after our community and customers, and he's already unblocked a customer in his first 3 hours of joining 🤯 (we hadn't even given him access to all our systems yet!) Oli has implemented and rolled out Lightdash at his last company and has been a member of our Slack community for a while (and a Lightdash hot sauce fan 🌶️); I'm super excited to have him provide a level-up for our community - look out for lots more from him over the coming weeks 🚀
Lightdash reposted this
🎓 Want Hands-On Experience Building a Real Analytics Engineering Project? Join Paradime's Fantasy Football Data Challenge - a perfect opportunity to learn analytics engineering skills like dbt™, SQL, data modeling, version control, etc.! Whether you're competing for prizes or just want to learn, this challenge is for you. 💡 What You Get: - Step-by-step tutorials to building a high-quality dbt™ project. - Real NFL & fantasy football datasets - Hands-on experience with industry tools (paradime.io & Lightdash) - Optional entry into prize competition ($1,500 for 1st place!) 📅 Key Dates: - Starts: January 2, 2025 - Competition Deadline: February 4, 2025 Pre-register here: https://lnkd.in/gFS3g_gy #DataAnalytics #dbt #SQL #AnalyticsEngineering
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🏈 W Dissly is the best tight end in the league, am I right? ❌ Disagree? That may be because as a Brit, I have no idea about NFL. ✅ But, maybe you're a data person that does!? Lightdash, paradime.io, Parker Rogers and I are launching our second global hack-a-thon together on the 2nd of Jan 2025... 🏈 dbt™️ Data Modelling Challenge: Fantasy Football Edition 🏈 💰 with prizes totalling $3,000! 💰 💡 What to expect: - 4 weeks of hands-on data analysis and modeling using paradime.io, dbt and Lightdash. - Fun challenges like evaluating pre-season rankings, week-to-week consistency, and rookie performance predictors. - Compete globally for a chance to win up to $3,000 in prizes. 📅 Timeline: - Launch: 2 January 2025 - Submission deadline: 6 February 2025 - Winners announced: 10 February 2025 (right after the Super Bowl!) 📋 Who can join? This challenge is perfect for Data Analysts, Analytics Engineers, Data Scientists, Data Engineers, and anyone passionate about analytics and sports. 🔐There are a limited number of entrants (because we take the time to judge every submission in great detail) so don't miss out! Pre-registration link in comments...
Lightdash reposted this
Here's a new list of 33 startups with tiny teams (<25 people) backed by top tier funds, who are now HIRING: 1) TollBit - content licensing platform (remote) 2) Verax AI - LLM visibility and control (Tel Aviv) 3) Pantheon AI - office design AI (Bay Area) 4) Early - typescript test generator (Tel Aviv) 5) Lanai Software - enterprise AI (Bay Area) 6) Blitzy - software agent automation (Cambridge MA) 7) .txt - JSON generation api (remote) 8) Alchemy - pharmacy management (Miami/remote) 9) Augmodo - retail workforce management (Remote) 10) Distributional - AI testing platform (US/Canada remote) 11) UXUY - cross-chain exchange (remote) 12) Martian - model routing (Bay Area) 13) SPRX - tax credit automation (NYC/US remote) 14) DinMo - customer data platform (Paris) 15) Orbital Materials - materials design AI (London/Princeton) 16) Fern (YC W23) - API SDK generator (New York) 17) Stream - medical claims automation (Bay Area) 18) Hydra Host - GPU marketplace (US remote) 19) MOTHER GAMES- mobile game development (NYC/remote) 20) Revefi - data observability cloud (Bangalore/Seattle) 21) AirOps - AI workflow builder (NYC/Bay Area) 22) Passionfroot - creator sponsorship management (EU/US remote) 23) Mintlify - developer documentation platform (Bay Area) 24) Portex - freight procurement automation (Bay Area/Remote) 25) Cofactr - electronics parts management (NYC/US remote) 26) Solv Protocol - crypto yield market (NY/Bay Area/AIPAC remote) 27) Lightdash - BI analytics platform (Remote) 28) hotglue - saas integration platform (DC) 29) Legion Health - psychiatric telemedicine (Texas remote) 30) fal - generative media platform (Worldwide remote) 31) Concourse - financial task automation (NYC) 32) Counsel Health - remote medical consultations (NYC/remote) 33) OpenGradient - open-source model hosting (remote) Adding direct links to their career pages in the comments 👋 follow me for more lists like this every week: Ben Lang ✨ thank you to Harmonic (startup database) for helping me source the list
Lightdash reposted this
I've recently posted on medium an article series, "BI Infrastructure Without Robbing a Bank: a complete tutorial in 5 parts". In it I share what I think is something many might have missed with the data landscape changing ever so quickly - that the freemium BI ecosystem has finally come into a long-awaited maturity. Majority of my professional life during the last 4 years was spent freelancing among various projects and companies. And my usual role there was to come help build their BI infrastructure, usually from some rather rudimentary point. The responsibilities of a data solution architect gave me the chance to touch the majority of the most popular tools around. My typical clients were tech startups and e-commerce companies, so, sure enough, this gives a somewhat partial view. Nevertheless, I came to find the repeating requirements among the different businesses, and the tools best filling those requirements. This, in various flavors, became my current favorite stack, consisting mainly of: dbt, Airbyte, Lightdash, and Kestra, self-hosted on GCP. For my friends in data - many of whom I've already discussed this stack with on many occasions - this is an (I hope) easy-to-follow tutorial, which you could follow as a weekend's project and hands-on test all the components of the stack. Best part - all the tools are free to use (you pay for cloud services only). Some of the tools are, perhaps, already your bread and butter, though it might be fun to sit down again and try setting all of them up from scratch. The tutorial link is here: https://lnkd.in/dUcDnDPm Also, if you want to discuss or share your experience with the listed tools -please do! I am pretty hyped to hear others' experiences. Happy reading! dbt Labs Airbyte Lightdash Kestra Vėjai
Lightdash reposted this
Lightdash (YC S20) has raised $11 million in Series A funding to bring AI to business intelligence. Today, hundreds of companies use Lightdash as their business intelligence platform. Data teams love it for its robust development workflows, semantic layer support, and seamless integration with tools like dbt, which provides a single source of truth for their data. Data teams aim to function like software teams, but outdated tools have hindered their progress. Lightdash brings best practices from software engineering to analytics, creating a workflow that empowers data developers and allows more team members to access data independently. In the past two years, usage has grown over 50x, with two queries being answered every second on the platform. Notably, over 80% of daily active users are non-data team members finding answers on their own. Lightdash enables a true self-serve business intelligence experience, where anyone can explore data through an easy-to-use interface, share insights with teammates, and embed analytics for customers. Next up, Lightdash is launching an AI Analyst service that lets users chat with their data in natural language to receive relevant insights. Powered by the same semantic layer used across Lightdash, the AI Analyst allows users to get set up quickly and provides accurate answers right away. Congrats on the Series A, Hamzah Chaudhary, Oliver Laslett, and team Lightdash! https://lnkd.in/gZj3Qhyg
Let's go! It's time to build and ship 🚀🚀🚀
Excited to announce Lightdash's $11M Series A led by Accel with Shopify Ventures and Operator Partners also joining the round. Hundreds of teams now rely on Lightdash as their self-serve BI platform, and we’re just getting started. We're creating whole new ways for teams to interact with their data to get the insights they need and 10x their impact. A special welcome to our new investors, and thank you to our earliest supporters for your continued support: Andrei Brasoveanu (Accel), Tian Tian Feng (Shopify Ventures), Zach Goldstein (Operator Partners), Mattias Ljungman (Moonfire), Y Combinator, Shuo Wang, Michael Grinich, Ethan Schechter, Dimitar Stanimiroff & many more! Read more about the raise in our blog post linked in the comments below 🚀