Search Results for "big data visualization"
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Showing 8 open source projects for "big data visualization"
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Redash
Connect to any data source, easily visualize and share your data
...It lets you create big, beautiful and easy to digest visualizations on dashboards for better decision-making. Redash supports a multitude of SQL and NoSQL data sources, and can be extended to support even more. Best of all it’s open source, so you can customize and add features to suit your organization’s needs perfectly. -
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SQL Notebook
SQL Notebook — Casual data exploration in SQL
SQL Notebook is a free Windows application for querying and analyzing data across multiple sources, including SQLite, PostgreSQL, Excel, and CSV files. It combines a SQL editor with a notebook interface, allowing for data exploration, transformation, and visualization in one place. SQL Notebook is ideal for analysts and data enthusiasts. -
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SQLPad
Web-based SQL editor run in your own private cloud
A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure... -
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Orbit
ORBIT : Operating Business Intelligence Tool
ORBIT : Operating Business Intelligence Tool Making Data Accessible Through Centralized Database Access ORBIT is a business intelligence tool designed to make data accessible to a broad audience within your company by centralizing access to databases. With this application, users can easily create reports, perform interactive analyses, and extract insights from raw data. The application simplifies data handling by providing easy-to-use features for non-technical users while maintaining... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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DB Explorer
The modern AI‑first database client for developers DBAs and analyst
DB Explorer is a free, cross-platform database query tool and schema explorer built for developers, DBAs, and data analysts. It provides a clean graphical interface for connecting to multiple database systems, writing and executing SQL, exploring schemas, monitoring database health, and generating SQL queries using AI — all from a single application. Supported Databases: PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite, Amazon DynamoDB, and any JDBC-compatible database. -
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tabix
Tabix.io UI
Open source simple business intelligence application and sql editor tool for Clickhouse. Auto-completion of fields, dictionaries and functions. Tips on fields and functions in Russian and English. Reformatting queries / autoformat. Minimizes brackets and subqueries. Setting the autocompletion / enableLiveAutocompletion. Backlight brackets. The list of functions is loaded based on the capabilities of the server. Displays which query is running. Display the number of tables at the database.... -
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OmniDB
Open Source Web Tool for Database Management
OmniDB is an open source, collaborative web tool for database management focused on interactivity and ease of use, with a design that allows it to be both powerful and lightweight. OmniDB is a browser-based tool, which means it can be accessed on any platform with the browser as a medium. It features a responsive, single-page interface, a unified workspace, a smart and beautiful SQL editor and more. It currently supports Windows, Linux and OSX platforms, and the following DBMS: PostgreSQL,... -
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Falcon
Free, open-source SQL client for Windows and Mac
Falcon is a free, open-source SQL editor with inline data visualization. With Falcon you can connect to your database in the Connection tab, run SQL queries in the Query tab, then export your results as a CSV or open them in the Chart Studio to unlock the full power of Plotly graphs. Optionally, you can use Falcon as a middleman between plot.ly and your database - so that when your database updates, your charts and dashboards update as well.
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