Best Spreadsheet Software for Amazon S3

Gigasheet is the big data spreadsheet that requires no set up, training, database or coding skills. No SQL or Python code, no IT infrastructure required to explore big data. Big data answers are available to anyone, even if they're not data scientists. Best of all, your first 3GB are free! Gigasheet is used by thousands of people and teams to gain insights in minutes, rather than hours or days. Anyone who can use a spreadsheet can access Gigasheet's big data and analysis capabilities. Sharing and collaboration tools make distributing huge data sets a snap. Gigasheet integrates with more than 135 SaaS platforms and databases.

Row Zero is the best spreadsheet for big data. Row Zero is similar to Excel and Google Sheets, but can handle 1+ billion rows, process data much faster, and connect live to your data warehouse and other data sources. Built-in connectors include Snowflake, Databricks, Redshift, Amazon S3, and Postgres. Row Zero spreadsheets are powerful enough to pull entire database tables into a spreadsheet, letting anyone build live pivot tables, charts, models, and metrics on data from your data warehouse. With Row Zero, you can easily open, edit, and share multi-GB files (CSV, parquet, txt, etc.) 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. 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. No training required.

Connect models to your data faster than ever before, create models 10x faster, and share them with beautiful visuals and interactive dashboards. Causal's formulas can be used in plain English, without cell references or obscure syntax. A single Causal formula can perform the work of dozens of spreadsheet formulas and even hundreds of spreadsheet formulas. Causal's Scenarios feature allows you to easily create and compare what-if scenarios. You can also work with ranges ("5-10") to see the full range of outcomes for your model. Startups use Causal for tracking KPIs, planning employee compensation, and building investor-ready financial models. You can create beautiful tables and charts without spending hours customizing and configuring. You can easily switch between summary views and time scales.

Connect live data without code from more than 100 integrations and databases. Access insights without distracting engineers and centralize your data to establish one source of truth for the entire team. Build data-driven organisations without technical skills or bottlenecks. You can run queries with SQL or a GUI that doesn't require any code, automate reports, create dashboards and share insights within minutes. Sourcetable is the platform for data you've been looking for. It makes data available to everyone and allows you to share insights, automate reports and analyze data. You can create live dashboards with over 500 spreadsheet functions, including shortcuts that you are already familiar with. This allows you to capture insights and drive business value. Data is updated frequently and automatically. Sourcetable is a great business intelligence tool for small teams. It allows you to create an unified view of your company.

Azquo is a groundbreaking Business Intelligence tool. It combines processing, calculation, and analytics in one platform that integrates seamlessly with Excel. Its unique Smart Data Store acts like a virtual "Satellite Data Warehouse" that connects to all your existing data sources/repositories. Excel-based controls and reporting interfaces allow Line of Business analysts to extract the information they need quickly while providing complete transparency for their Data Scientist colleagues in I.T. department. Azquo®, an innovative approach to Business Intelligence, is a new way to store, label and use data by computers. Azquo is unlike any other reporting system. It can achieve flexible efficiency that is unmatched. We don't call it "a database" because that implies a dimensionality that doesn't exist in Azquo.