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Google BigQuery VS Let's Encrypt

Compare Google BigQuery VS Let's Encrypt and see what are their differences

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Google BigQuery logo Google BigQuery

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

Let's Encrypt logo Let's Encrypt

Let’s Encrypt is a free, automated, and open certificate authority brought to you by the Internet Security Research Group (ISRG).
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Let's Encrypt Landing page
    Landing page //
    2023-07-12

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.

Let's Encrypt features and specs

  • Free of Charge
    Let's Encrypt provides SSL/TLS certificates at no cost, making it an economical choice for individuals and businesses.
  • Automated Certificate Issuance and Renewal
    The process of obtaining and renewing certificates can be automated using the ACME protocol, reducing manual intervention and administrative overhead.
  • Ease of Use
    Let's Encrypt simplifies the process of enabling HTTPS for websites, even for users with limited technical expertise.
  • Security
    Let's Encrypt certificates provide strong encryption, improving the security of data transmitted between clients and servers.
  • Widely Recognized
    Certificates issued by Let's Encrypt are trusted by all major web browsers and operating systems.
  • Promotes Secure Web Practices
    By making SSL/TLS certificates freely available, Let's Encrypt encourages more websites to adopt HTTPS, contributing to a more secure internet.

Possible disadvantages of Let's Encrypt

  • Short Duration of Certificates
    Let's Encrypt certificates are valid for only 90 days, requiring more frequent renewals compared to traditional certificate authorities.
  • Limited Support Options
    Let's Encrypt relies on community support and documentation, and does not offer dedicated customer support for troubleshooting and assistance.
  • No Extended Validation (EV) Certificates
    Let's Encrypt does not issue Extended Validation (EV) certificates, which provide additional verification and a higher level of trust for business websites.
  • Potential for Misuse
    Since certificates are issued for free and with minimal validation, there is a risk that cybercriminals might use them for phishing or other malicious activities.
  • No Wildcard Certificates for Multi-Level Subdomains
    While Let's Encrypt supports wildcard certificates for single-level subdomains, it doesn't support them for nested subdomains (e.g., *.sub.example.com).
  • Reliance on Third-Party Tools for Automation
    Users may need to rely on third-party tools or scripts for automation, which could introduce additional complexity or security risks.

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 Let's Encrypt

Overall verdict

  • Yes, Let's Encrypt is a good choice for many website owners looking to implement HTTPS. It is trusted by major web browsers and has gained a strong reputation for reliability and ease of use.

Why this product is good

  • Let's Encrypt is widely considered a good option for SSL/TLS certificates because it provides free, automated, and open certificate issuance, which makes it accessible and convenient for website owners to secure their domains. It's designed to eliminate the complexity and costs typically associated with obtaining and renewing SSL certificates. Its easy integration with various web server software and support for automated renewals via the Certbot tool further enhances its appeal.

Recommended for

    Let's Encrypt is recommended for small to medium-sized websites, blogs, personal projects, non-commercial sites, and anyone looking to quickly and easily obtain SSL/TLS certificates without incurring costs. Larger enterprises or businesses with specific security and compliance requirements might need additional features provided by commercial certificate authorities.

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

Let's Encrypt videos

No Let's Encrypt videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Google BigQuery and Let's Encrypt)

Google BigQuery

Let's Encrypt

Data Dashboard
100 100%
Data Dashboard
0% 0
Security & Privacy
0 0%
Security & Privacy
100% 100
Big Data
100 100%
Big Data
0% 0
Identity And Access Management
0 0%
Identity And Access Management
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 Let's Encrypt

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

Let's Encrypt Reviews

We have no reviews of Let's Encrypt yet.
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Social recommendations and mentions

Based on our record, Let's Encrypt should be more popular than Google BigQuery. It has been mentiond 339 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 (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 1 month 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
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Let's Encrypt mentions (339)

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What are some alternatives?

When comparing Google BigQuery and Let's Encrypt, 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?

OpenSSL - OpenSSL is a free and open source software cryptography library that implements both the Secure Sockets Layer (SSL) and the Transport Layer Security (TLS) protocols, which are primarily used to provide secure communications between web browsers and …

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.

Ensighten - Ensighten provides enterprise tag management solutions that enable businesses manage their websites more effectively.

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.

AWS Certificate Manager - AWS Certificate Manager from Amazon Web Services (AWS)

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