Software Alternatives, Accelerators & Startups

Google BigQuery VS Serpstat

Compare Google BigQuery VS Serpstat 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.

Serpstat logo Serpstat

Serpstat is the Swiss army knife for automating SEO processes. With a suite of powerful modules, you can track your performance, analyze your competitors, research keywords and backlinks, audit your website, and so much more.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Serpstat Landing page
    Landing page //
    2023-06-11
  • Serpstat Rank Tracker
    Rank Tracker //
    2024-09-19
  • Serpstat Domain Analysis
    Domain Analysis //
    2024-09-19

Dive deep into keyword research with Serpstat's keyword database, now bigger than ever with global coverage across 230 regions. Uncover the most valuable keywords for your business, understand search intent,ย  and optimize your content strategy

Serpstat

$ Details
freemium $69.0 / Monthly
Release Date
2015 February
Startup details
Country
Ukraine
Founder(s)
Oleg Salamaha
Employees
50 - 99

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.

Serpstat features and specs

  • Comprehensive SEO Toolkit
    Serpstat provides a wide range of SEO tools including keyword research, site audit, backlink analysis, rank tracking, and competition analysis, making it a one-stop solution for SEO needs.
  • User-Friendly Interface
    The platform features a well-organized and intuitive interface, making it accessible and easy to navigate even for beginners.
  • Affordable Pricing
    Compared to other SEO tools in the market, Serpstat is relatively affordable, offering a good balance between cost and features.
  • Detailed Analytics
    Provides in-depth analytics and reports, helping users make data-driven decisions for their SEO strategies.
  • Regular Updates
    The platform frequently updates its features and database to keep up with the latest SEO trends and requirements.
  • Excellent Customer Support
    Offers responsive and helpful customer support through various channels including live chat, email, and phone.

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 Serpstat

Overall verdict

  • Overall, Serpstat is regarded as a solid option for both beginners and experienced SEO professionals who need a reliable tool to improve their website's search visibility and performance. Its competitive pricing, combined with a robust set of features, make it a popular choice in the SEO community.

Why this product is good

  • Serpstat is considered a good SEO tool by many users because it offers a wide range of features that help with keyword research, site audit, backlink analysis, rank tracking, and competitor research. It is especially valued for its comprehensive data and user-friendly interface. Additionally, it is often praised for its affordability compared to other SEO tools, making it accessible to small businesses and individual marketers.

Recommended for

    Serpstat is recommended for digital marketers, SEO professionals, content creators, and businesses of all sizes looking for a comprehensive yet affordable SEO tool to enhance their online presence and gain insights into their competitors.

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

Serpstat videos

What is Serpstat?

More videos:

  • Review - SerpStat Review - My Favorite Free & Paid SEO Keyword Research Tools Perfect For Beginners
  • Review - Serpstat Review | Growth hacking tool for SEO | Pearl Lemon Reviews
  • Review - Serpstat Review โœ… Discount Coupon Code With( 20% Off Special)

Category Popularity

0-100% (relative to Google BigQuery and Serpstat)
Data Dashboard
100 100%
0% 0
SEO
0 0%
100% 100
Big Data
100 100%
0% 0
SEO Tools
0 0%
100% 100

Questions & Answers

As answered by people managing Google BigQuery and Serpstat.

What makes your product unique?

Serpstat's answer:

The AI-powered features for content optimization and generation are particularly noteworthy, as they go beyond traditional SEO tools to assist with content creation and enhancement.

Why should a person choose your product over its competitors?

Serpstat's answer:

With its focus on AI and continuous innovation, choosing Serpstat positions users to take advantage of emerging trends in digital marketing.

How would you describe the primary audience of your product?

Serpstat's answer:

Serpstat's primary audience includes digital marketers, agencies, in-house marketing teams, freelancers, content creators, and businesses looking to improve online visibility.

User comments

Share your experience with using Google BigQuery and Serpstat. 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 Serpstat

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

Serpstat Reviews

The 16 Best Moz Alternatives for Every Budgetย 
Serpstat is an affordable SEO tool with a one-week free trial. The only difference is that, unlike Moz, Serpstat doesnโ€™t have a free version, so youโ€™ll need to pick a paid plan once the trial is over.
10 SE Ranking Alternatives in 2025 [Free and Paid]
Serpstat offers a balanced approach to SEO, blending competitive analysis with a user-friendly interface, making it suitable for users who want to combine keyword research with site audits and content strategies. Its unique features like the โ€œTree Viewโ€ make it ideal for those looking to enhance their website architecture alongside their SEO efforts.
10 Moz Pro Alternatives in 2025 [Free and Paid]
Serpstat provides advanced tools for users looking to perform detailed SEO analysis and competitor research. Its extensive features make it ideal for those who need comprehensive insights into their websiteโ€™s performance.
Top 6 Moz Competitors In 2024: A Detailed Review
Furthermore, Serpstat is praised for its versatile functionality. It provides valuable insights across multiple facets of digital marketing. Itโ€™s also particularly noted for its comprehensive competitor analysis and budget-friendly pricing.
10 Best Serpstat Alternatives in 2024
In the fast-paced world of SEO and digital marketing, finding the right tool to boost your online visibility can be challenging. Serpstat is a popular choice known for its robust features in keyword research, competitor analysis, and SEO audits. However, if you're seeking alternatives that might better meet your specific needs or offer different advantages, there are plenty...

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Serpstat. 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 / 5 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 / 6 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 / 9 months ago
View more

Serpstat mentions (5)

  • 10 BEST FREE SEO REPORTING TOOLS
    SERPstat: Provides a range of SEO features, including keyword research, competitor analysis, rank tracking, site audit, backlink analysis, and more. Source: almost 3 years ago
  • Best alternatives to SEMRush?
    Https://raventools.com - used it waaay back, since been acquired by TapClicks -not sure if that's a good thing or a bad thing Https://serpstat.com - see this one get mentioned quite a bit; never used tho Https://www.link-assistant.com - has been around for a while Https://seranking.com - has grown beyond just ranking tools Https://cognitiveseo.com - I've heard some decent SEOs rave about this... Source: about 3 years ago
  • SEO Tools Megathread
    Serpstat - A comprehensive SEO tool that offers keyword research, rank tracking, site audit, and backlink analysis. Pricing starts at AUD $103.20/month. Link: https://serpstat.com/. Source: over 3 years ago
  • Traffic from a site your not associated with?
    Hello, you might wanna use serpstat.com , it's a website that measures traffic of other websites, copy paste your URL and you should be able to see all the data it can read. Source: over 4 years ago
  • Why add coins/tokens which have NO large interest from consumers
    Some coins/tokens on Binance and keyword search volume per month according to Google Ads - I use serpstat.com. Source: over 5 years ago

What are some alternatives?

When comparing Google BigQuery and Serpstat, 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?

SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.

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.

Ahrefs - Ahrefs is a toolset for SEO and marketing. We have tools for backlink research, organic traffic research, keyword research, content marketing & more. Give Ahrefs a try!

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.

Moz - Backed by industry-leading data and the largest community of SEOs on the planet, Moz builds tools that make inbound marketing easy.