Software Alternatives & Reviews

Glances VS Google BigQuery

Compare Glances VS Google BigQuery and see what are their differences

Glances logo Glances

The single customer view you have always wanted is here. Unify your apps in an easy-to-use customer view that provides real-time data from within any app that you are using. In minutes, securely connect your apps and eliminate tab switching.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Glances Landing page
    Landing page //
    2022-05-05

The single customer view you have always wanted is here. Glances unifies your apps in a simplified, easy-to-use customer view that provides real-time data from within any app that you are using. In minutes, securely connect your apps and eliminate tab switching, searching, and clicking around to find important information.

Do the hustle without the hassle

Finding customer information within multiple programs is the hassle that ruins your workflow hustle. Glances brings your favorite online apps together, securely showing your customer data in a single view from whatever app you are using.

An integration the way it should be

It’s like iPaaS, but without the pain. Not time consuming, expensive, or untrustworthy. Glances is a new way to do integrations with a true no-code approach; no data syncing or scheduling jobs. See how it takes just minutes to connect your apps and start using a simplified customer view with Glances.

Glances is designed to support any application that provides an industry standard API, including custom applications. Here is a sample of some of the supported applications:

  • Monday.com
  • Salesforce
  • QuickBooks
  • Pipedrive
  • Slack
  • Shopify
  • Zendesk
  • Stripe
  • Mailchimp
  • Intercom
  • JIRA
  • SugarCRM
  • Zoho
  • Constant Contact
  • Freshdesk
  • Freshsales
  • SuiteCRM
  • Groove
  • DreamFactory
  • Gmail
  • Outlook 365
  • and many more
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Glances

$ Details
paid $12.0 / Monthly (per user)
Platforms
Browser Slack Microsoft Teams Salesforce Firefox Google Chrome Internet Explorer
Release Date
2020 April

Glances features and specs

  • Single Customer View: Yes
  • Integrations: Yes
  • Real time sync: Yes
  • Cross-platform support: Yes
  • No Coding Skills Required: Yes
  • Fast Performance: Yes
  • Secure: Yes
  • Free Trial: Yes

Google BigQuery features and specs

No features have been listed yet.

Glances videos

Meet Glances, a New Way to Integrate

More videos:

  • Review - Linux Tools: Monitoring & Troubleshooting Basics with Glances
  • Review - Glances: Remote System Monitoring From Any Device
  • Review - Glances - Terminal-Based System Monitoring Tool

Google BigQuery videos

No Google BigQuery videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Glances and Google BigQuery)
Data Dashboard
8 8%
92% 92
Monitoring Tools
100 100%
0% 0
Big Data
0 0%
100% 100
Command Line Tools
100 100%
0% 0

User comments

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Reviews

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

Glances Reviews

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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 more popular. It has been mentiond 35 times since March 2021. 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.

Glances mentions (0)

We have not tracked any mentions of Glances yet. Tracking of Glances recommendations started around Mar 2021.

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 / 8 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 / 8 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 / 9 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: 10 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: 10 months ago
View more

What are some alternatives?

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

htop - htop - an interactive process viewer for Unix. This is htop, an interactive process viewer for Unix systems. It is a text-mode application (for console or X terminals) and requires ncurses. Latest release: htop 2.

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

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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.

GNOME System Monitor - System Monitor is a tool to manage running processes and monitor system resources.

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.