Software Alternatives, Accelerators & Startups

Expensify VS Google BigQuery

Compare Expensify VS Google BigQuery and see what are their differences

Expensify logo Expensify

Import expenses directly from a credit card to create free expense reports quickly. Approve reports online and reimburse directly to a checking account with one click.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Expensify Landing page
    Landing page //
    2023-10-10
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Expensify videos

Expensify Review | Expense Management Software | Pearl Lemon Reviews

More videos:

  • Review - Expensify Review: Everything You Need to Know About This Bookkeeping App
  • Review - Let Expensify simplify your expense tracking - Review

Google BigQuery videos

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Category Popularity

0-100% (relative to Expensify and Google BigQuery)
Expense Tracking
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Expense Management And Reporting
Big Data
0 0%
100% 100

User comments

Share your experience with using Expensify and Google BigQuery. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Expensify and Google BigQuery

Expensify Reviews

Small Business Expense Tracking Apps: Streamlining Financial Management
In conclusion, the realm of expense tracking apps offers diverse solutions for small businesses. Whether opting for established platforms like QuickBooks Online, Expensify, Zoho Expense, or considering newer entrants like Centy, these tools empower businesses to take control of their finances and pave the way for sustainable growth.
Source: medium.com
20 best accounting software tools
Expensify is an accounting system fit for a business of any size that lets you manage your receipts, and easily submit business expenses for both reimbursement and approval.
Source: clockify.me

Google BigQuery Reviews

Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.

Social recommendations and mentions

Based on our record, Google BigQuery seems to be a lot more popular than Expensify. While we know about 36 links to Google BigQuery, we've tracked only 1 mention of Expensify. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Expensify mentions (1)

  • Is this a scam or a badly managed company
    I never heard of them before, and the emails look like they are truly tied to 'expensify.com' but there is no 'unsubscribe' or anything similar. I am thinking maybe a scammer is trying to get me to sign in and put in some form of credit card details? Source: over 1 year ago

Google BigQuery mentions (36)

  • Next.js Deployment: Vercel's Charm vs. GCP's Muscle
    GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 4 days ago
  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 10 months ago
  • Modern data stack: scaling people and technology at FINN
    Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 10 months ago
  • Running Transformations on BigQuery using dbt Cloud: step by step
    Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 11 months ago
  • Do I need a cloud computing–based data cloud company
    You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: about 1 year ago
View more

What are some alternatives?

When comparing Expensify and Google BigQuery, you can also consider the following products

Abacus - Expenses without the 'expense report'

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Zoho Expense - Automate your expense reporting process and streamline the approval flow.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Fyle - Track expenses across devices on-the-go and maintain a central repository. With custom approval flows, automatic policy violation detection and an automated audit trail, be audit-ready at all times!

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.