Software Alternatives, Accelerators & Startups

V7 VS Google BigQuery

Compare V7 VS Google BigQuery and see what are their differences

V7 logo V7

Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • V7 Landing page
    Landing page //
    2023-08-06
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

V7 videos

Automated Image Labelling with Auto-Annotate - V7 Darwin

More videos:

  • Review - Annotation Basics (OLD) - V7 Darwin AI Academy
  • Review - Video Annotation - V7 Darwin

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 V7 and Google BigQuery)
Data Labeling
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Image Annotation
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare V7 and Google BigQuery

V7 Reviews

Top Video Annotation Tools Compared 2022
V7 allows for collaboration and automated workflows, so you can reach human accuracy faster with 10x more training data. V7 offers features similar to Innotescus like
Source: innotescus.io

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 V7. While we know about 35 links to Google BigQuery, we've tracked only 1 mention of V7. 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.

V7 mentions (1)

  • Ask HN: Who is hiring? (December 2022)
    Https://v7labs.com We're automating humanity’s most important visual tasks from early cancer screening, to alzheimer's research, to giving sight to autonomous robots. Dealroom's most promising breakout company of 2022, Forbes top 20 ML startup of 2021. Just raise a $33m Series A and backed by AI heavyweights, including the creators of Keras, Elixir and leaders at DeepMindaand OpenAI. This month we're hiring for: -... - Source: Hacker News / over 1 year ago

Google BigQuery mentions (35)

  • 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 / 9 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 / 9 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 / 10 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: 11 months ago
  • I used ChatGPT to get an Internship
    Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago
View more

What are some alternatives?

When comparing V7 and Google BigQuery, you can also consider the following products

Labelbox - Build computer vision products for the real world

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

CloudFactory - Human-powered Data Processing for AI and Automation

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.

SuperAnnotate - Empowering Enterprises with Custom LLM/GenAI/CV Models.

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.