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Open Source Linux Data Management Systems

Data Management Systems for Linux

View 514 business solutions

Browse free open source Data Management systems and projects for Linux below. Use the toggles on the left to filter open source Data Management systems by OS, license, language, programming language, and project status.

  • See Everything. Miss Nothing. 30-day free trial Icon
    See Everything. Miss Nothing. 30-day free trial

    Don’t let IT surprises catch you off guard. PRTG keeps an eye on your whole network, so you don’t have to.

    As the IT backbone of your company, you can’t afford to miss a thing. PRTG monitors every device, application, and connection - on-premise and in the cloud. You get clear dashboards, smart alerts, and mobile access, so you’re always in control, wherever you are. No more guesswork or manual checks. PRTG’s powerful automation and easy setup mean you spend less time firefighting and more time moving your business forward. Discover how simple and reliable IT monitoring can be.
    Try PRTG 30-day full access trial
  • Fully managed relational database service for MySQL, PostgreSQL, and SQL Server Icon
    Fully managed relational database service for MySQL, PostgreSQL, and SQL Server

    Focus on your application, and leave the database to us

    Cloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
    Try for free
  • 1
    Metabase

    Metabase

    The simplest, fastest way to share business intelligence and analytics

    Metabase is the easiest way to let everyone in your company access business data and analytics, learn from it and ask questions. Even if you or your colleagues have no experience in SQL, you can easily summarize and visualize your data, share it and let your team ask questions about it. Metabase creates beautiful graphs and charts, with an easy-to-use dashboard where everyone can create, organize and share exceptionally visualized data. It supports a great number of databases, including Postgres, MySQL, Druid, MongoDB, SQLite and more. Setup literally takes 5 minutes.
    Downloads: 18 This Week
    Last Update:
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  • 2
    DataEase

    DataEase

    Data visualization analysis tool

    An open source data visualization analysis tool available to everyone. DataEase is an open-source data visualization analysis tool that helps users quickly analyze data and gain insight into business trends, so as to achieve business improvement and optimization. DataEase supports rich data source connections, can quickly create charts by dragging and dropping, and can easily share with others. Supports rich chart types (Apache ECharts / AntV), supports drag-and-drop method to quickly create dashboards. Support direct connection mode, local mode (based on Apache Doris / Kettle implementation). Support various data sources such as data warehouse/data lake, OLAP database, OLTP database, Excel data file, API, etc. Open source and open: zero threshold, quick access and installation online; quick access to user feedback, new versions released monthly. pport multiple data sharing methods to ensure data security.
    Downloads: 10 This Week
    Last Update:
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  • 3
    Davinci

    Davinci

    Davinci is a DVsaaS (Data Visualization as a Service) Platform

    Davinci is oriented towards product managers, business people, data engineers, data analysts, data scientists, etc. It aims to provide a one-stop data visualization solution, which could be both independently used as a public cloud/private cloud and integrated into third-party systems as plugin. A simple configuration on Davinci UI can meet multiple visualization requirements. It also supports other visualization features like advanced interaction, industry analysis, pattern searching, social intelligence, etc. Sharing and intelligence capability means users could share their dashboards with others, which stimulates them to improve the visualization ability both in aesthetic perception and technical skills. In the field of data visualization, Davinci attaches great importance to basic interaction ability and various chart options; meanwhile, it lays more stress on integration and customization capability as well as sharing and intelligence capability.
    Downloads: 1 This Week
    Last Update:
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  • 4
    YAO

    YAO

    Yao A low code engine to create web services and dashboard

    Yao allows developers to create web services by processes. Yao is a low-code engine that creates a database model, writes API services, and describes dashboard interface just by JSON for web & hardware, no code, and 10x productivity. Yao is based on the flow-based programming idea, developed in the Go language, and supports multiple ways to expand the data stream processor. This makes Yao extremely versatile, which can replace programming languages ​​in most scenarios, and is 10 times more efficient than traditional programming languages ​​in terms of reusability and coding efficiency; application performance and resource ratio Better than PHP, JAVA and other languages. Yao has a built-in data management system. By writing JSON to describe the interface layout, 90% of the common interface interaction functions can be realized. It is especially suitable for quickly making various management backgrounds, CRM, ERP, and other internal enterprise systems.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Top Corporate LMS for Training | Best Learning Management Software Icon
    Top Corporate LMS for Training | Best Learning Management Software

    Deliver and Track Online Training and Stay Compliant - with Axis LMS!

    Axis LMS enables you to deliver online and virtual learning and training through a scalable, easy-to-use LMS that is designed to enhance your training, automate your workflows, engage your learners and keep you compliant.
    Learn More
  • 5
    Dash

    Dash

    Build beautiful web-based analytic apps, no JavaScript required

    Dash is a Python framework for building beautiful analytical web applications without any JavaScript. Built on top of Plotly.js, React and Flask, Dash easily achieves what an entire team of designers and engineers normally would. It ties modern UI controls and displays such as dropdown menus, sliders and graphs directly to your analytical Python code, and creates exceptional, interactive analytics apps. Dash apps are very lightweight, requiring only a limited number of lines of Python or R code; and every aesthetic element can be customized and rendered in the web. It’s also not just for dashboards. You have full control over the look and feel of your apps, so you can style them to look any way you want.
    Downloads: 0 This Week
    Last Update:
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  • 6
    Query2Report

    Query2Report

    Simple open source business intelligence and reporting solution

    Query2Report provides a simple opensource business intelligence platform that allows users to build report/dashboard for business analytics or enterprise reporting. The application transforms bunch SQL queries to beautiful google charts. The application caters to real time reporting with automatic refresh functionality. Refer to video tutorials Concepts - https://youtu.be/NdEUZ2suiv8 Data Analytics Demo - https://youtu.be/evCf74Ou7kg Data Forecast Demo - https://youtu.be/Nmi1UIDpFpM Report Showcase - https://youtu.be/gxlEGq5iSm8 Getting Started - https://youtu.be/vyU7BUE5rbs Building First Report - https://youtu.be/MZm6rhf2_Ts Source Repo GitHub : https://github.com/yogeshsd/query2report
    Downloads: 0 This Week
    Last Update:
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  • 7
    just-dashboard

    just-dashboard

    Dashboards using YAML or JSON files

    Dashboards using YAML or JSON files. Create a public GitHub gist with a file named dashboard.yml or dashboard.json (depending on your preferred format) As your dashboard is just data, you can generate it instead of repeating yourself. You can do that by generating the YAML or JSON file yourself, or you can use jq queries in your YAML file. And one with a dashboard that contains a component that can fetch the data from other other gist and turn it into 3 different charts. Using the same principle, you can also loads parts from your dashboard from other files, or just JSON/CSV data for specific charts. Suppose you are only interested in comparing foods by how much they contain of a single macronutrient. However, you want to be able to decide which macronutrient.
    Downloads: 0 This Week
    Last Update:
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  • 8
    litlyx

    litlyx

    Analytics for developers, setup Analytics in 30 seconds

    The easiest, developer-centric analytics tool. Litlyxis an open-source, self-hostable analytics solution for the modern framework. Litlyx offers a unique eyewear cleaning system that includes a special cleaning solution and reusable microfiber swabs. This system is designed to provide a more thorough and eco-friendly way to clean glasses, lenses, and screens. The brand emphasizes sustainability by reducing single-use plastics and promoting long-term use of their products. Their cleaning kit is compact, portable, and designed to be effective for everyday use, ensuring that users can maintain clear vision without the hassle of disposable wipes or sprays.
    Downloads: 0 This Week
    Last Update:
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