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Google BigQuery VS E-tracking

Compare Google BigQuery VS E-tracking and see what are their differences

Google BigQuery

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

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
E-tracking

Discover the best tracking platform for all your shipment needs. Track your container, air cargo, package, post/ems, and courier shipments effortlessly.

Rating
0 reviews
Pricing
Freemium Free trial
Alternatives Is it good?
Data Analytic System
Sourced crypto market data with indicator monitoring, market regime context and research. BTC, ETH, XRP, SOL + major indices monitored 24/7. Educational content — not investment advice. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Google BigQuery seems to be more popular. It has been mentioned 47 times since March 2021.

social mentions
47 vs 0
Data Dashboard popularity
100% vs 0%
alternatives listed
240+ vs 7

Base details

Website, pricing, platforms and company facts side by side.

Google BigQuery
E-tracking
Website cloud.google.com e-tracking.net
Pricing
Open source
Freemium Free trial Official pricing
Company — Startup from the United Kingdom · 1 - 9 employees · 2023
Listed in
Data Management Data Warehousing Data Dashboard Database Tools ETL Big Data +3
Logistics And Supply Chain Shipping and Tracking Business & Commerce Transportation +1

About Google BigQuery and E-tracking

In their own words, as submitted to SaaSHub.

Google BigQuery
E-tracking

No description of Google BigQuery yet.

At e-Tracking.net, we simplify global logistics visibility. We provide real-time tracking solutions for containers, vessels, and sailing schedules—helping freight forwarders, importers, and exporters stay informed and in control. Our mission is to make shipping data accessible, accurate, and easy...

Read more about E-tracking

Features and specs

What each product offers, as listed by its team.

Google BigQuery 7 features
E-tracking 4 features
  • 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

  • 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.
  • Track and Trace
    Track your shipments with ease, from anywhere in the world
  • All-in-one Tracking Solutions
    Get ready to streamline your tracking process with our all-in-one platform for tracking services!
  • 3800+ carriers worldwide
    We supported 3800+ carriers worldwide
  • Sailing Schedules
    Reliable information on sailing times, routes, and vessel schedules, ensuring your operations run smoothly.

Analysis

An editorial look at what each product does well and who it suits.

Google BigQuery
E-tracking

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

Overall verdict

  • E-tracking.net appears to be a niche GPS tracking and fleet/asset management service; it can be a reasonably good choice for basic tracking needs but may lack the advanced features, support infrastructure, and brand reputation of larger, more established competitors, so due diligence is recommended before committing.

Why this product is good

  • Offers GPS tracking functionality for vehicles or assets at what is often a lower price point than major competitors
  • Simple, no-frills interface that can be easier for small operators to adopt quickly
  • Provides basic reporting on location, routes, and possibly driving behavior
  • Can be suitable for smaller fleets that don't need enterprise-level features
  • Lower cost of entry compared to premium fleet management platforms

Recommended for

  • Small business owners with a handful of vehicles needing basic location tracking
  • Independent contractors or delivery drivers wanting simple route verification
  • Budget-conscious users who don't require advanced analytics or integrations
  • Personal use cases like tracking a single vehicle or asset
  • Users who prioritize simplicity over feature-rich dashboards

Videos

Walkthroughs and reviews on video.

Google BigQuery 3 videos + Add
E-tracking 0 videos + Add

Cloud Dataprep Tutorial - Getting Started 101

More videos

  • - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • - Google Cloud Dataprep Premium product demo

No E-tracking videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Google BigQuery
E-tracking
100% 100%
Data Dashboard
0% 0%
0% 0%
Shipping and Tracking
100% 100%
100% 100%
Big Data
0% 0%
0% 0%
Business & Commerce
100% 100%

Questions & Answers

As answered by people managing Google BigQuery and E-tracking.

What makes your product unique?

E-tracking's answer:

E‑Tracking.net offers a unified platform to track ocean containers, air cargo, and sailing schedules across global carriers. Its ease of use, real-time data accuracy, and coverage make it a go-to visibility tool for logistics professionals worldwide.

Why should a person choose your product over its competitors?

E-tracking's answer:

Unlike fragmented solutions, E‑Tracking provides multi-carrier visibility, smart alerts, shareable tracking links, and sailing schedules—all in one place. Its simple UX, cost-effectiveness, and fast support set it apart from complex and overpriced alternatives.

How would you describe the primary audience of your product?

E-tracking's answer:

Our core users include freight forwarders, logistics coordinators, import/export companies, and digital freight platforms seeking shipment visibility and schedule optimization for better planning and customer communication.

What's the story behind your product?

E-tracking's answer:

E‑Tracking was born from the frustration of manually checking container statuses across different carrier sites. We created a platform that centralizes logistics visibility, saves time, and empowers supply chain professionals with actionable data.

Which are the primary technologies used for building your product?

E-tracking's answer:

Our platform is built using modern web technologies including React, Node.js, PostgreSQL, and integrates with global carrier APIs. We also use scalable cloud infrastructure (AWS) to ensure high availability and performance.

Who are some of the biggest customers of your product?

E-tracking's answer:

We serve clients globally, including: – A leading freight network companies – Regional air cargo agents in Europe – Large importers/exporters in MENA & LATAM – Digital freight SaaS platforms

User comments

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

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Google BigQuery no reviews yet
E-tracking no reviews yet
  • Database for Data Analytics
    blog.devart.com · Mar 2026

    Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis,...

  • Data Warehouse Tools
    peliqan.io · Sep 2024

    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...

  • Top 6 Cloud Data Warehouses in 2023
    geekflare.com · Apr 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...

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We have no reviews of E-tracking yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Google BigQuery 47 mentions
E-tracking 0 mentions

View more

Tracking E-tracking since Jul 2025.

Alternatives to Google BigQuery and E-tracking

When comparing Google BigQuery and E-tracking, you can also consider the following products.

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