9 Integrations with Tad

View a list of Tad integrations and software that integrates with Tad below. Compare the best Tad integrations as well as features, ratings, user reviews, and pricing of software that integrates with Tad. Here are the current Tad integrations in 2026:

  • 1
    Microsoft Excel
    Microsoft Excel is the industry-standard spreadsheet application that helps users organize, analyze, and visualize data with precision and power. Whether you’re managing budgets, tracking performance, or analyzing complex datasets, Excel simplifies every task with intuitive tools and intelligent automation. With Copilot, you can now ask Excel to write formulas, summarize data, or create visualizations—all powered by AI. From basic spreadsheets to advanced financial modeling, Excel adapts to your skill level and workflow. Its cloud collaboration through Microsoft 365 lets multiple users edit, share, and comment in real time from any device. With flexible templates, built-in charts, and cross-platform integration, Excel turns numbers into insights you can act on.
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    Starting Price: $8.25 per user per month
  • 2
    SQLite

    SQLite

    SQLite

    SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine. SQLite is the most used database engine in the world. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day. SQLite is an in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. The code for SQLite is in the public domain and is thus free for use for any purpose, commercial or private. SQLite is the most widely deployed database in the world with more applications than we can count, including several high-profile projects.
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    Starting Price: Free
  • 3
    Google Sheets
    Create and collaborate on online spreadsheets in real-time and from any device. Establish a ground truth for data in your online spreadsheet, with easy sharing and real-time editing. Use comments and assign action items to keep analysis flowing. Assistive features like Smart Fill and formula suggestions help you analyze faster with fewer errors. And get insights quickly by asking questions about your data in simple language. Sheets is thoughtfully connected to other Google apps you love, saving you time. Easily analyze Google Forms data in Sheets, or embed Sheets charts in Google Slides and Docs. You can also reply to comments directly from Gmail and easily present your spreadsheets to Google Meet.
  • 4
    React

    React

    React

    React makes it painless to create interactive UIs. Design simple views for each state in your application, and React will efficiently update and render just the right components when your data changes. Declarative views make your code more predictable and easier to debug. Build encapsulated components that manage their own state, then compose them to make complex UIs. Since component logic is written in JavaScript instead of templates, you can easily pass rich data through your app and keep state out of the DOM. We don’t make assumptions about the rest of your technology stack, so you can develop new features in React without rewriting existing code. React components implement a render() method that takes input data and returns what to display. This example uses an XML-like syntax called JSX. Input data that is passed into the component can be accessed by render() via this.props.
    Starting Price: Free
  • 5
    Blueprint

    Blueprint

    Blueprint

    Dramatically faster calculations improve turn times. Clear analysis reports eliminate time wasted debating income. Get all your underwriters using the same calculations. Ensure all income guidelines are followed. Comprehensive training and testing of underwriters for building up and quantifying knowledge. Don’t guess what your underwriters know, measure it. Blueprint is software to power your underwriting and processing teams. Unburden your team from remembering guidelines for multiple agencies. Never make a math error again. Much like personal tax software, Blueprint guides users through entering borrower income from tax returns, bank statements, and other documentation. Blueprint crunches all the numbers and gives you a clean report you can upload into your document system or LOS.
    Starting Price: $3 per loan
  • 6
    Electron

    Electron

    Electron

    Thousands of organizations spanning all industries use Electron to build cross-platform software. Build cross-platform desktop apps with JavaScript, HTML, and CSS. If you can build a website, you can build a desktop app. Electron is a framework for creating native applications with web technologies like JavaScript, HTML, and CSS. It takes care of the hard parts so you can focus on the core of your application. Electron uses Chromium and Node.js so you can build your app with HTML, CSS, and JavaScript. Electron is an open-source project maintained by the OpenJS Foundation and an active community of contributors. Compatible with Mac, Windows, and Linux, Electron apps build and run on three platforms. To get started with Electron, check out the resources available. Learn how to wrap your web app with Electron, access all the APIs, and generate installers. Also, Electron Fiddle lets you create and play with small Electron experiments.
    Starting Price: Free
  • 7
    Apache Parquet

    Apache Parquet

    The Apache Software Foundation

    We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believe this approach is superior to simple flattening of nested namespaces. Parquet is built to support very efficient compression and encoding schemes. Multiple projects have demonstrated the performance impact of applying the right compression and encoding scheme to the data. Parquet allows compression schemes to be specified on a per-column level, and is future-proofed to allow adding more encodings as they are invented and implemented. Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites.
  • 8
    DuckDB

    DuckDB

    DuckDB

    Processing and storing tabular datasets, e.g. from CSV or Parquet files. Large result set transfer to client. Large client/server installations for centralized enterprise data warehousing. Writing to a single database from multiple concurrent processes. DuckDB is a relational database management system (RDBMS). That means it is a system for managing data stored in relations. A relation is essentially a mathematical term for a table. Each table is a named collection of rows. Each row of a given table has the same set of named columns, and each column is of a specific data type. Tables themselves are stored inside schemas, and a collection of schemas constitutes the entire database that you can access.
  • 9
    HTML

    HTML

    HTML

    HTML, short for HyperText Markup Language, is the markup language that is used by every website on the internet. HTML is code that websites use to build and structure every part of their website and web pages. HTML5 is a markup language used for structuring and presenting content on the World Wide Web. It is the fifth and final major HTML version that is a World Wide Web Consortium (W3C) recommendation. The current specification is known as the HTML Living Standard. It is maintained by the Web Hypertext Application Technology Working Group (WHATWG), a consortium of the major browser vendors (Apple, Google, Mozilla, and Microsoft). HTML5 includes detailed processing models to encourage more interoperable implementations; it extends, improves, and rationalizes the markup available for documents and introduces markup and application programming interfaces (APIs) for complex web applications. For the same reasons, HTML5 is also a candidate for cross-platform mobile applications.
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