Evidence

Evidence

Data Infrastructure and Analytics

Toronto, Ontario 1,462 followers

Business intelligence as code: build polished data products with SQL and markdown

About us

Evidence is an open source, code-based alternative to drag-and-drop BI tools. Build polished data products with just SQL and markdown.

Website
https://evidence.dev/?utm_source=linkedin.com
Industry
Data Infrastructure and Analytics
Company size
2-10 employees
Headquarters
Toronto, Ontario
Type
Privately Held
Founded
2021

Locations

Employees at Evidence

Updates

  • On Dec 5th, at Evidence Lab #001, we presented our roadmap for the first time. We're excited to publicly share what's next for Evidence! Open Source 1. Look and Feel: Custom Themes and Dark Mode (Now available!) 2. Self Service: Pivot Table & SQL Console 3. Interactivity: Cross Filters & Sharable Links 4. DX: VSCode Prop Autocomplete and Sources UI Cloud 5. CI tooling: Deploy Previews & Email Notifications 6. Multi-tenant apps & RBAC: Config & RLS 7. Platform Improvements: UI Revamp & Scheduled emails 8. Region Expansion: EU region for Evidence Cloud

  • Evidence reposted this

    View profile for Alireza Sadeghi, graphic

    Senior Data Engineer and Architect | I build and scale data platforms

    🚀 𝗗𝗮𝘁𝗮 𝗟𝗮𝗻𝗱𝘀𝗰𝗮𝗽𝗲 𝗧𝗿𝗲𝗻𝗱𝘀: 𝟮𝟬𝟮𝟰-𝟮𝟬𝟮𝟱 𝗦𝗲𝗿𝗶𝗲𝘀: The Evolution of Business Intelligence: From Monolithic to Composable Architecture The BI landscape is undergoing a fascinating transformation. In my latest article, I explore how BI architecture has evolved through several key phases: 📊 Traditional BI: Monolithic systems with tightly coupled components and heavy infrastructure requirements. 🔗 Bottomless BI: Rise of Lightweight BI tools like Apache Superset (Preset ), Redash and Metabase in mid 2010s that eliminated dedicated backend servers, relying instead on connected source engines. 🧩 Headless BI: Introduction of universal semantic layers such as Cube and MetricFlow, enabling consistent metrics across different visualisation tools. 💻 BI-as-Code: A recent trend in the past few years, bringing software engineering practices to BI development with established tools like Streamlit, Evidence and Rill Data, and newcomers such as Quary (YC W24), Observable and Vizro. 🚀 Latest Trend - Embedded Analytics: Integration of high-performance query engines like DuckDB and Apache DataFusion with lightweight BI tools, enabling: 👉 Zero-copy integration with Apache Arrow 👉 Direct data lake and Lakehouse (Iceberg, Hudi, Delta) querying 👉 Native federated query support 👉 True architectural composability BI Vendors like Omni, GoodData, Rill Data, Observable and Cube are leading this transformation. Read the full article shared in the comments section to learn more.

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  • Evidence reposted this

    View profile for Dan Lee, graphic

    Helping startups and scaleups get data confident | Your fractional data team | Founder @ Outlier

    ⭐ My favourite DataTech finds of 2024 ⭐ I got back into the data game at the beginning of this year and started Outlier, and one of the fun things that's allowed me to do is dive back into the data vendor ecosystem. Here are some of the more impressive technologies I've come across. Evidence - "A lightweight framework for building data apps" I'm particularly excited for them to start rolling out improvements to their cloud product. Hashboard - "BI that will make you love data again" A BI tool that recognises the importance of the developer experience. Tinybird - "Data infrastructure for software teams" Building real-time data APIs has never been so easy. Estuary - "The fastest, most reliable ETL" A data movement tool that's affordable and built by people who really know what they're doing. Keel - "Build the systems that power your operations" A little tangential to our space, Keel is what I wanted Retool to be like. What am I missing? What're you excited about for 2025 and beyond? On Thursday I'm going to post about where I think we still have big gaps...

  • Evidence reposted this

    View profile for Dan Lee, graphic

    Helping startups and scaleups get data confident | Your fractional data team | Founder @ Outlier

    ⭐ My favourite DataTech finds of 2024 ⭐ I got back into the data game at the beginning of this year and started Outlier, and one of the fun things that's allowed me to do is dive back into the data vendor ecosystem. Here are some of the more impressive technologies I've come across. Evidence - "A lightweight framework for building data apps" I'm particularly excited for them to start rolling out improvements to their cloud product. Hashboard - "BI that will make you love data again" A BI tool that recognises the importance of the developer experience. Tinybird - "Data infrastructure for software teams" Building real-time data APIs has never been so easy. Estuary - "The fastest, most reliable ETL" A data movement tool that's affordable and built by people who really know what they're doing. Keel - "Build the systems that power your operations" A little tangential to our space, Keel is what I wanted Retool to be like. What am I missing? What're you excited about for 2025 and beyond? On Thursday I'm going to post about where I think we still have big gaps...

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