Software Alternatives, Accelerators & Startups

Google BigQuery VS CloudYali.io

Compare Google BigQuery VS CloudYali.io and see what are their differences

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.

CloudYali.io logo CloudYali.io

CoPilot for your cloud teams, your cloud in a single window.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • CloudYali.io Landing page
    Landing page //
    2023-05-17

CloudYali helps you to manage Security compliance, Cost and Resource inventory in a single place. Try it for free today! Bring instant visibility across multiple accounts and regions in one place. Now get visibility into cloud resources such as EC2 instances, S3 buckets, IAM users, and many more. Our continuous compliance feature evaluates your cloud against CIS AWS Benchmark Control v1.5.0 and AWS Foundational Security Best Practices Controls. View and manage cloud cost across cloud estate in a single window.

CloudYali.io

$ Details
Free Trial $59.0 / Monthly (20 AWS Accounts)
Platforms
Cloud AWS Public Cloud

Google BigQuery features and specs

No features have been listed yet.

CloudYali.io features and specs

  • Continuous Security Compliance: Yes
  • Cloud Resource Inventory: Yes
  • Resource Change History: A simple visual way to filter and view all your cloud configuration changes
  • Cloud Query: Find resources you are looking for with their attributes or with AWS tags. No coding required.
  • Cost Reporting: Yes

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

CloudYali.io videos

Continuous AWS Security Compliance with CloudYali

More videos:

  • Demo - Simplifying AWS Resources Inventory in single window with CloudYali

Category Popularity

0-100% (relative to Google BigQuery and CloudYali.io)
Data Dashboard
100 100%
0% 0
Cloud Infrastructure
0 0%
100% 100
Big Data
100 100%
0% 0
Developer Tools
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 Google BigQuery and CloudYali.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.

CloudYali.io Reviews

We have no reviews of CloudYali.io yet.
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Social recommendations and mentions

Based on our record, Google BigQuery seems to be more popular. It has been mentiond 36 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.

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 / about 18 hours 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

CloudYali.io mentions (0)

We have not tracked any mentions of CloudYali.io yet. Tracking of CloudYali.io recommendations started around Mar 2022.

What are some alternatives?

When comparing Google BigQuery and CloudYali.io, you can also consider the following products

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

Steampipe - Steampipe: select * from cloud; The extensible SQL interface to your favorite cloud APIs select * from AWS, Azure, GCP, Github, Slack etc.

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.

AWS Config - Cloud Monitoring

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.

CloudQuery - CloudQuery enables you to assess, audit, and evaluate the configurations of your cloud assets.