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What is Quadratic?

Quadratic transforms team collaboration in data analysis, leading to faster results. While you might already be accustomed to using spreadsheets, the functionalities provided by Quadratic are truly innovative. It seamlessly incorporates Formulas and Python, with upcoming support for SQL and JavaScript. You and your team can work with the programming languages you are already familiar with. Unlike traditional single-line formulas that can be hard to understand, Quadratic enables you to spread your formulas over multiple lines, enhancing readability. Additionally, the platform provides built-in support for Python libraries, allowing you to easily integrate the latest open-source tools into your spreadsheets. The most recently executed code is automatically retrieved back to the spreadsheet, supporting raw values, 1/2D arrays, and Pandas DataFrames as standard features. You can quickly pull data from external APIs, with any updates being reflected in Quadratic's cells automatically. The user interface is designed for easy navigation, allowing you to zoom out for a general view or zoom in to focus on detailed information. You can organize and explore your data in ways that suit your thinking process, breaking free from the limitations of conventional tools. This adaptability not only boosts efficiency but also encourages a more instinctive method of managing data, setting a new standard for how teams collaborate and analyze information.

What is OrcaSheets?

OrcaSheets is a data analytics platform that combines the simplicity of spreadsheets with the performance of modern data processing engines. It allows teams to connect multiple data sources—including databases, warehouses, files, and APIs—into a single live workspace where analytics can be performed in real time. Traditional spreadsheets often struggle with large datasets and fragmented data sources, forcing teams to export data repeatedly and manage multiple versions of reports. OrcaSheets eliminates this problem by enabling users to analyze large volumes of data directly from their source systems. The platform is capable of scanning billions of rows in seconds by running queries on local machines and connected infrastructure rather than relying solely on remote cloud processing. Users can explore and query data using plain English prompts, making analytics accessible to non-technical users, while advanced users can switch to SQL for complex analysis. OrcaSheets also supports reusable models and workflows, allowing teams to build templates that automate recurring analyses such as financial reconciliations, revenue reporting, cohort analysis, and operational dashboards. With over twenty connectors, the platform integrates with common databases, data warehouses, and file formats including CSV, JSON, Parquet, and SQL-based systems. Its local-first architecture keeps raw data within an organization’s infrastructure, improving security and compliance while reducing cloud processing costs. By bringing together powerful data processing, flexible querying, and a familiar spreadsheet interface, OrcaSheets enables organizations to perform advanced analytics without requiring specialized data engineering expertise.

Media

Media

No images available

Integrations Supported

Amazon S3
Apache Parquet
Databricks Data Intelligence Platform
Elasticsearch
Google Cloud Platform
JSON
JavaScript
Microsoft Azure
Microsoft Excel
MongoDB
MongoDB Atlas
MySQL
Oracle Database
Polars
PostgreSQL
Python
SQL
SQL Server
Snowflake
pandas

Integrations Supported

Amazon S3
Apache Parquet
Databricks Data Intelligence Platform
Elasticsearch
Google Cloud Platform
JSON
JavaScript
Microsoft Azure
Microsoft Excel
MongoDB
MongoDB Atlas
MySQL
Oracle Database
Polars
PostgreSQL
Python
SQL
SQL Server
Snowflake
pandas

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Quadratic

Company Website

www.quadratichq.com

Company Facts

Organization Name

OrcaSheets

Date Founded

2024

Company Location

India

Company Website

orcasheets.ai/

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Spreadsheet

Analytics
Audit Trail
Calculators
Charting
Multi-User Collaboration
Templates

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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