Software Alternatives, Accelerators & Startups

Google BigQuery VS GhostMyData

Compare Google BigQuery VS GhostMyData and see what are their differences

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.

Google BigQuery logo Google BigQuery

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

GhostMyData logo GhostMyData

GhostMyData continuously scans 1,500+ data brokers, removes your exposed data, and automatically re-removes it when brokers re-collect. Free scan, no credit card.
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  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • GhostMyData Automated data removal from 1,500+ broker sites
    Automated data removal from 1,500+ broker sites //
    2026-04-08
  • GhostMyData Real-time exposure dashboard monitoring 1,529+ data broker sites
    Real-time exposure dashboard monitoring 1,529+ data broker sites //
    2026-04-08
  • GhostMyData Broker compliance report โ€” real data on which brokers actually delete your data
    Broker compliance report โ€” real data on which brokers actually delete your data //
    2026-04-08

GhostMyData is a privacy protection platform that scans 1,500+ data broker sites to find your exposed personal information. We automatically submit legal CCPA and state privacy law deletion requests on your behalf, verify each removal, and continuously monitor for re-listings.

Key features: - 1,500+ data broker coverage (3.5x more than Incogni, 17x more than DeleteMe's auto-removal) - Legal CCPA deletion requests, not just opt-out forms - Automated re-removal when brokers re-list your data - Family plans protect up to 5 household members - Live broker compliance report showing which brokers actually delete - Free scan with 3 free trial removals โ€” no credit card required

Plans start at $9.99/month billed annually.

GhostMyData

$ Details
freemium $119.88 / Annually
Release Date
2024 January
Startup details
Country
United States
State
Wyoming
City
Sheridan
Founder(s)
Rocky Kathuria
Employees
1 - 9

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.

GhostMyData features and specs

  • Data Broker Coverage
    1,500+ sites scanned and monitored
  • CCPA Legal Requests
    Automated deletion requests citing state privacy laws
  • Removal Verification
    Re-scans to confirm brokers actually deleted data
  • Continuous Monitoring
    Auto re-removes when brokers re-list your data
  • Family Plans
    Protect up to 5 household members
  • Free Trial
    Free scan + 3 free removals, no credit card

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 GhostMyData

Overall verdict

  • GhostMyData is a solid data removal service that helps individuals reduce their online footprint by removing personal information from data broker sites and people-search databases. It offers a reasonable option for those concerned about privacy, though as with any such service, results can vary and no service can guarantee 100% removal of all data across the internet.

Why this product is good

  • Automates the tedious process of opting out from numerous data broker and people-search sites
  • Helps protect against identity theft, spam, and unwanted solicitations by reducing exposed personal data
  • Provides ongoing monitoring and re-removal since data brokers often re-list information
  • Saves significant time compared to manually contacting each data broker
  • Can offer peace of mind for individuals worried about their digital privacy

Recommended for

  • Individuals concerned about online privacy and their digital footprint
  • People who want to reduce spam calls, emails, and unwanted solicitations
  • Those at higher risk of identity theft or stalking who want personal info removed
  • Public-facing professionals, executives, or public figures wanting to limit exposure
  • Anyone who lacks the time to manually opt out of dozens of data broker sites

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

GhostMyData videos

Your personal data is being bought and sold by data brokers

Category Popularity

0-100% (relative to Google BigQuery and GhostMyData)
Data Dashboard
100 100%
0% 0
Privacy
0 0%
100% 100
Big Data
100 100%
0% 0
Online Services
0 0%
100% 100

Questions & Answers

As answered by people managing Google BigQuery and GhostMyData.

Why should a person choose your product over its competitors?

GhostMyData's answer:

More coverage (1,500+ brokers), lower price ($9.99/mo vs $14.98 for Incogni), free scan with 3 free trial removals (no credit card), family plans covering 5 members, and transparent compliance reporting. We also use dual search engines (Google + Brave) to find exposures competitors miss.

What makes your product unique?

GhostMyData's answer:

We cover 1,500+ data broker sites โ€” 3.5x more than Incogni and 17x more than DeleteMe's auto-removal. We send legally-enforceable CCPA deletion requests, not just opt-out forms. And we publish a live broker compliance report showing which brokers actually delete your data and which ignore requests.

How would you describe the primary audience of your product?

GhostMyData's answer:

Privacy-conscious individuals and families who want their personal data removed from people-search sites and data brokers. Also businesses protecting employees from social engineering attacks that exploit exposed personal data.

What's the story behind your product?

GhostMyData's answer:

I discovered my full name, home address, phone numbers, and family members' details were publicly listed on hundreds of people-search sites โ€” available to anyone for under a dollar. After spending 40+ hours manually submitting opt-out forms, I realized the data just comes back. So I built GhostMyData to automate the entire process.

Which are the primary technologies used for building your product?

GhostMyData's answer:

Next.js, React, TypeScript, Prisma ORM, PostgreSQL, Vercel, Resend for transactional email, Amazon SES for broker CCPA emails, Google and Brave Search APIs for exposure detection.

Who are some of the biggest customers of your product?

GhostMyData's answer:

  • Individual privacy-conscious consumers
  • Families protecting household members (up to 5 per plan)
  • Businesses protecting employee data from social engineering

User comments

Share your experience with using Google BigQuery and GhostMyData. 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 GhostMyData

Google BigQuery Reviews

Database for Data Analytics
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis, historical analyticsSnowflake, Amazon Redshift, Google BigQueryContinuously ingests and processes data with minimal latency for real-time decision-making.Fraud...
Source: blog.devart.com
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 BigQueryโ€™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 โ€œheavyโ€ queries that operate using a large set of data. This means itโ€™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

GhostMyData Reviews

  1. Rocky Kathuria
    ยท Founder & CEO at GhostMyData ยท
    Finally a privacy service that actually removes your data from 1,500+ brokers

    I built GhostMyData because I was tired of finding my personal information โ€” home address, phone numbers, family members โ€” plastered across dozens of data broker sites. After trying other services, I realized most only cover a fraction of brokers and charge premium prices for basic scans. GhostMyData scans 1,500+ data broker sites, sends legally-backed CCPA deletion requests on your behalf, and tracks every removal to completion. The automated removal pipeline handles everything from opt-out form submissions to verification that your data was actually taken down. We also offer family plans so you can protect your entire household under one subscription, and our daily privacy digest keeps you informed without email overload. The whole platform is designed around transparency โ€” you see exactly what was found, what's been removed, and what's still in progress.

    ๐Ÿ Competitors: Incogni, Delete Me, Privacy Bee, Optery, Kanary
    ๐Ÿ‘ Pros:    Scans 1,500+ data broker sites automatically|Sends legally-backed ccpa/state privacy law deletion requests|Automated opt-out form submissions for major brokers|Family plan protects up to 5 household members|Real-time removal tracking with verification|Free scan with 3 trial removals, no credit card required
    ๐Ÿ‘Ž Cons:    Some brokers require manual identity verification steps|Annual billing only (no monthly option yet)

Social recommendations and mentions

Based on our record, Google BigQuery seems to be more popular. It has been mentiond 47 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 (47)

  • Ruby on Rails Performance: 7 Lessons from Scaling FirstPromoter
    We migrated the analytics layer to Google BigQuery. Same queries that timed out in PostgreSQL now run in under 2 seconds. But not everything belongs in BigQuery โ€” we initially moved too aggressively and actually reverted some queries back when the added complexity wasn't justified. Our rule of thumb: if a query scans hundreds of thousands of rows or involves complex time-series aggregations, BigQuery. Everything... - Source: dev.to / 4 months ago
  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Google BigQuery - For large-scale data processing and SQL-based analysis. - Source: dev.to / 4 months ago
  • What if ML pipelines had a lock file?
    Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its meaning changes. Even when teams snapshot data, those snapshots are often implicit, not recorded as part of the pipeline run itself. - Source: dev.to / 5 months ago
  • Best SQL Courses with Certificates for 2026
    SQL endures because it's the non-negotiable interface for relational data. Enterprise data storage still relies heavily on relational databases despite new alternatives. What makes SQL valuable for learners is transferabilityโ€”while dialects differ across PostgreSQL, SQL Server, and BigQuery, the fundamentals stay consistent. - Source: dev.to / 8 months ago
  • Why Your Snowflake Bill is High and How to Fix It with a Hybrid Approach
    Within classic cloud data warehouses, Google BigQuery presents a different pricing model. Its on-demand, per-terabyte-scanned pricing can be cost-effective for sporadic forensic queries. But it carries the risk of a runaway query where a single mistake leads to a massive bill. - Source: dev.to / 8 months ago
View more

GhostMyData mentions (0)

We have not tracked any mentions of GhostMyData yet. Tracking of GhostMyData recommendations started around Apr 2026.

What are some alternatives?

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

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

Delete Me - Delete Me is an app that lets you delete your accounts from multiple platforms, including social media sites, e-commerce sites, and many others, with just a few steps.

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Incogni - Take back control of your data privacy!

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.

Optery - See the private info data brokers post about you online