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Google BigQuery VS KeyCDN

Compare Google BigQuery VS KeyCDN and see what are their differences

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Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Google BigQuery logo Google BigQuery

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

KeyCDN logo KeyCDN

KeyCDN is a high-performance Content Delivery Network (CDN). Lowest price globally at $0.04/GB with HTTP/2 Support and free Origin Shield.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • KeyCDN Landing page
    Landing page //
    2021-10-11

Google BigQuery features and specs

  • Scalability
    BigQuery can effortlessly scale to handle large volumes of data due to its serverless architecture, thereby reducing the operational overhead of managing infrastructure.
  • Speed
    It leverages Google's infrastructure to provide high-speed data processing, making it possible to run complex queries on massive datasets in a matter of seconds.
  • Integrations
    BigQuery easily integrates with various Google Cloud Platform services, as well as other popular data tools like Looker, Tableau, and Power BI.
  • Automatic Optimization
    Features like automatic data partitioning and clustering help to optimize query performance without requiring manual tuning.
  • Security
    BigQuery provides robust security features including IAM roles, customer-managed encryption keys, and detailed audit logging.
  • Cost Efficiency
    The pricing model is based on the amount of data processed, which can be cost-effective for many use cases when compared to traditional data warehouses.
  • Managed Service
    Being fully managed, BigQuery takes care of database administration tasks such as scaling, backups, and patch management, allowing users to focus on their data and queries.

Possible disadvantages of Google BigQuery

  • Cost Predictability
    While the pay-per-use model can be cost-efficient, it can also make cost forecasting difficult. Unexpected large queries could lead to higher-than-anticipated costs.
  • Complexity
    The learning curve can be steep for those who are not already familiar with SQL or Google Cloud Platform, potentially requiring training and education.
  • Limited Updates
    BigQuery is optimized for read-heavy operations, and it can be less efficient for scenarios that require frequent updates or deletions of data.
  • Query Pricing
    Costs are based on the amount of data processed by each query, which may not be suitable for use cases that require frequent analysis of large datasets.
  • Data Transfer Costs
    While internal data movement within Google Cloud can be cost-effective, transferring data to or from other services or on-premises systems can incur additional costs.
  • Dependency on Google Cloud
    Organizations heavily invested in multi-cloud or hybrid-cloud strategies may find the dependency on Google Cloud limiting.
  • Cold Data Performance
    Query performance might be slower for so-called 'cold data,' or data that has not been queried recently, affecting the responsiveness for some workloads.

KeyCDN features and specs

  • Performance
    KeyCDN has a broad network with strategically placed POPs (Points of Presence) that ensures fast content delivery and low latency.
  • Cost-effective
    Offers competitive pricing compared to other CDN providers, making it attractive for small to medium-sized businesses.
  • Ease of Use
    User-friendly interface and straightforward setup make it easy for users to deploy and manage their CDN services.
  • Security Features
    Provides built-in security features such as DDoS protection, secure token links, and SSL support to safeguard content.
  • Real-time Analytics
    Offers comprehensive real-time analytics and reporting tools that provide valuable insights into content delivery performance and usage statistics.
  • Support for Various Integrations
    Supports integrations with popular CMS platforms, frameworks, and e-commerce solutions like WordPress, Magento, and WooCommerce.

Possible disadvantages of KeyCDN

  • Limited Advanced Features
    While it offers essential CDN functionalities, KeyCDN may lack some advanced features available in other top-tier CDNs such as extensive edge computing capabilities.
  • Smaller Network
    Compared to larger CDN providers like Cloudflare or Akamai, KeyCDN has a smaller network of POPs, which may affect global performance in fewer regions.
  • Customer Support
    Some users have reported slower response times and less comprehensive support compared to other premium CDNs.
  • Caching Customization
    Offers fewer customization options for caching policies and rules compared to some competing CDNs.
  • No WAF
    Does not offer a built-in Web Application Firewall (WAF), which means users will need a separate solution for advanced web application protection.

Analysis of Google BigQuery

Overall verdict

  • Google BigQuery is a powerful and flexible data warehouse solution that suits a wide range of data analytics needs. Its ability to handle large volumes of data quickly makes it a preferred choice for organizations looking to leverage their data effectively.

Why this product is good

  • Google BigQuery is a fully-managed data warehouse that simplifies the analysis of large datasets. It is known for its scalability, speed, and integration with other Google Cloud services. It supports standard SQL, has built-in machine learning capabilities, and allows for seamless data integration from various sources. The serverless architecture means that users don't need to worry about infrastructure management, and its pay-as-you-go model provides cost efficiency.

Recommended for

  • Businesses requiring fast processing of large datasets
  • Organizations that already utilize Google Cloud services
  • Companies looking for a cost-effective, scalable analytics solution
  • Teams interested in using SQL for data analysis
  • Data scientists integrating machine learning with their data workflows

Analysis of KeyCDN

Overall verdict

  • Overall, KeyCDN is a strong choice for businesses and individuals looking to enhance their website's performance and reliability. It offers a solid balance of affordability, speed, and features.

Why this product is good

  • KeyCDN is considered a good option for a content delivery network (CDN) due to its competitive pricing, high performance, and ease of use. It offers a global network of strategically placed servers, which reduces latency and improves load times for users worldwide. Additionally, KeyCDN provides features like a user-friendly dashboard, real-time analytics, and security measures such as DDoS protection and free SSL certificates.

Recommended for

    KeyCDN is recommended for small to medium-sized businesses, e-commerce sites, bloggers, and web developers who need an efficient and cost-effective CDN solution. Its simplicity and robust support make it an excellent choice for those who want a straightforward setup without sacrificing performance.

Google BigQuery videos

+ Add

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

KeyCDN videos

+ Add

Full Site Cache for KeyCDN - A WordPress plugin

More videos:

  • Tutorial - How to Speed Up WordPress Website With CDN Service (KeyCDN)

Category Popularity

0-100% (relative to Google BigQuery and KeyCDN)

Google BigQuery

KeyCDN

Data Dashboard
100 100%
Data Dashboard
0% 0
CDN
0 0%
CDN
100% 100
Big Data
100 100%
Big Data
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100

User comments

Share your experience with using Google BigQuery and KeyCDN. For example, how are they different and which one is better?
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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 KeyCDN

Google BigQuery Reviews

Data Warehouse Tools
Google BigQuery: Similar to Snowflake, BigQuery offers a pay-per-use model with separate charges for storage and queries. Storage costs start around $0.01 per GB per month, while on-demand queries are billed at $5 per TB processed.
Source: peliqan.io
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...
Source: www.shipyardapp.com
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.
Source: www.analytixlabs.co.in

KeyCDN Reviews

The 7 Best Content-Delivery-Network Providers
KeyCDN is not a CDN provider from Germany, but it's close: The provider is based in Switzerland. The focus is on speed, a broad infrastructure, security and 24/7 support. KeyCDN's content delivery network is accessible on six continents and should be set up in a few minutes to swiftly send your content to your users all over the world - except Antarctica. KeyCDN is capable...
Source: omr.com
10 Top Cloudflare Alternatives for Your Website
Customization is the key to having a personalized experience. In this regard, KeyCDN is a touch better than Cloudflare. Therefore, you can configure the essential components, add it to any CMS or custom application to get the preferred result. If not optimized perfectly, images can drastically slow down content delivery. Keeping this crucial aspect in mind, KeyCDN offers a...
Source: beebom.com
5 Best Free CDN Solutions for WordPress to Speed Up Your Site
KeyCDN – KeyCDN is an easy-to-implement CDN that starts at just $0.04 per GB. They’re the same people beyond plugins like Cache Enabler and the Optimus image optimizer plugin, so KeyCDN works great with both those plugins.
Source: wplift.com
11 Best CDN Providers To Speed Up A Website
Other KeyCDN features include the intuitive dashboard; HTTP/2 for faster delivery; GZip compression for faster data accessibility; real time reportings; extensive security (with DDoS protection, shared or custom SSL, secure token etc); origin shield and much more.
Source: mofluid.com
The best CDN providers of 2018 to speed up any website
More experienced users will appreciate options like Origin Shield – this allows you to specify a KeyCDN server to be the source for updates rather than the origin, reducing your server load. You're able to manipulate headers, cache or strip cookies, or set up a custom robots.txt. Once the service is running, a capable set of reporting tools enable watching CDN performance in...
Source: www.techradar.com

Social recommendations and mentions

Based on our record, Google BigQuery seems to be a lot more popular than KeyCDN. While we know about 42 links to Google BigQuery, we've tracked only 2 mentions of KeyCDN. 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 (42)

  • Every Database Will Support Iceberg — Here's Why
    This isn’t hypothetical. It’s already happening. Snowflake supports reading and writing Iceberg. Databricks added Iceberg interoperability via Unity Catalog. Redshift and BigQuery are working toward it. - Source: dev.to / about 1 month ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Many of these companies first tried achieving real-time results with batch systems like Snowflake or BigQuery. But they quickly found that even five-minute batch intervals weren't fast enough for today's event-driven needs. They turn to RisingWave for its simplicity, low operational burden, and easy integration with their existing PostgreSQL-based infrastructure. - Source: dev.to / about 2 months ago
  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / about 2 months ago
  • Study Notes 2.2.7: Managing Schedules and Backfills with BigQuery in Kestra
    BigQuery Documentation: Google Cloud BigQuery. - Source: dev.to / 4 months ago
  • Docker vs. Kubernetes: Which Is Right for Your DevOps Pipeline?
    Pro Tip: Use Kubernetes operators to extend its functionality for specific cloud services like AWS RDS or GCP BigQuery. - Source: dev.to / 7 months ago
View more

KeyCDN mentions (2)

What are some alternatives?

When comparing Google BigQuery and KeyCDN, 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?

CloudFlare - Cloudflare is a global network designed to make everything you connect to the Internet secure, private, fast, and reliable.

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.

Amazon CloudFront - Amazon CloudFront is a content delivery web service.

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.

CDN77 - Content Delivery Network - website speed acceleration with CDN77. 28+ PoPs, Pay-as-you-go prices, no commitments.

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