Best CSV Editors

Gigasheet uses AI to turn healthcare price transparency data into actionable market intelligence. The platform processes Transparency in Coverage datasets at scale and benchmarks payer and provider rates to reveal outliers, savings opportunities, and competitive insights. Users can combine transparency data with their own claims, contract, or network information in a spreadsheet-style interface built for large datasets. Gigasheet’s AI agent generates reports, dashboards, and executive summaries that help teams compare pricing, evaluate networks, and make informed contracting decisions without complex setup or external tools.

DbSchema is for visual designing the schema in a team, deploy and document the schema. Other integrated features like data explorer, visual query editor, data generator, etc., makes DbSchema an every-day tool for everybody who interacts with databases. DbSchema supports all relational and No-SQL databases, including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, Google and more. DbSchema is reverse-engineering the database schema from the database and visualize it as diagrams. You will interact with the database using diagrams and visual tools. DbSchema model is using its copy of schema structure, independent from the database. This allows the schema deployment on multiple databases, save the design model to file, store it in GIT and design the schema in a team, design the schema without database connectivity, compare different versions of the schema and generate SQL migration scripts.

Combine the flexibility of a spreadsheet with the robustness of a database to organize your data, your way. Unify your spreadsheets in one beautiful relational structure. Control over who sees what — down to each row and column. Share limited views of only relevant data with third parties. Rest easy with open source software, automatic backups, and no data lock-in. See records as customizable data cards, and attach relevant images and files. Create dashboard charts and summaries to see the big picture. Make charts that update dynamically as you drill into data. With the ability to customize your layouts and link related data, you’ll have everything you need at your fingertips. Set rules to control which team members can see or edit which parts of your data, and share only relevant data to third parties via links.

Quadratic enables your team to work together on data analysis to deliver faster results. You already know how to use a spreadsheet, but you’ve never had this much power. Quadratic speaks Formulas and Python (SQL & JavaScript coming soon). Use the language you and your team already know. Single-line formulas are hard to read. In Quadratic you can expand your recipes to as many lines as you need. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. The last line of code is returned to the spreadsheet. Raw values, 1/2D arrays, and Pandas DataFrames are supported by default. Pull or fetch data from an external API, and it updates automatically in Quadratic's cells. Navigate with ease, zoom out for the big picture, and zoom in to focus on the details. Arrange and navigate your data how it makes sense in your head, not how a tool forces you to do it.

Row Zero is the best spreadsheet for big data. Row Zero matches the experience of traditional spreadsheets but can handle 1+ billion rows, process data much faster, and connect live to your data warehouse and other data sources. Row Zero spreadsheets are powerful enough to pull entire database tables into a spreadsheet, letting non-technical users build live pivot tables, graphs, models, and metrics on data from your data warehouse. Row Zero also offers advanced security features and is cloud-based, empowering organizations to eliminate ungoverned CSV exports and locally stored spreadsheets from their org. With Row Zero, you can easily open, edit, and share multi-GB files (CSV, parquet, txt, etc.) Row Zero has all of the spreadsheet features you know and love, but was built for big data. If you know how to use Excel or Google Sheets, you can get started with ease.