Google BigQuery vs. Semrush

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google BigQuery
Score 8.8 out of 10
N/A
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$6.25
per TiB (after the 1st 1 TiB per month, which is free)
Semrush
Score 8.6 out of 10
N/A
Semrush is a relatively popular search engine optimization tool set from the company of the same name based in Pennsylvania and founded in 2008. Largely the platforms relies on competitive intelligence, and features SEO staples like backlink checking, keyword analysis to refine SEO and PPC campaigning and locate low-cost / high-yield keywords, analysis of competitors who co-occupy desired ad and listing spaces, domain vs. domain analysis, as well as site audit and domain tracking. Semrush can…
$139.95
per month
Pricing
Google BigQuerySemrush
Editions & Modules
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
Pro
$139.95
per month
Guru
$249.95
per month
Business
$499.95
per month
Offerings
Pricing Offerings
Google BigQuerySemrush
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details17% discount for annual pricing.
More Pricing Information
Community Pulse
Google BigQuerySemrush
Features
Google BigQuerySemrush
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google BigQuery
8.5
80 Ratings
0% above category average
Semrush
-
Ratings
Automatic software patching8.017 Ratings00 Ratings
Database scalability9.179 Ratings00 Ratings
Automated backups8.524 Ratings00 Ratings
Database security provisions8.773 Ratings00 Ratings
Monitoring and metrics8.475 Ratings00 Ratings
Automatic host deployment8.013 Ratings00 Ratings
SEO
Comparison of SEO features of Product A and Product B
Google BigQuery
-
Ratings
Semrush
7.9
154 Ratings
3% above category average
Keyword analysis00 Ratings8.6154 Ratings
Backlink management00 Ratings8.3147 Ratings
SERP ranking tracking00 Ratings8.3150 Ratings
Page grader00 Ratings7.6129 Ratings
Competitive analysis00 Ratings8.5149 Ratings
Site audit / diagnostics00 Ratings8.0150 Ratings
Site recommendations00 Ratings7.6139 Ratings
Task management00 Ratings6.691 Ratings
SEO Channels
Comparison of SEO Channels features of Product A and Product B
Google BigQuery
-
Ratings
Semrush
8.2
140 Ratings
8% above category average
Local SEO00 Ratings8.1128 Ratings
Social SEO00 Ratings8.0106 Ratings
Mobile SEO00 Ratings8.3113 Ratings
Global SEO00 Ratings8.2114 Ratings
SEO Platform & Account Management
Comparison of SEO Platform & Account Management features of Product A and Product B
Google BigQuery
-
Ratings
Semrush
8.5
125 Ratings
1% above category average
Multi-domain support00 Ratings8.2115 Ratings
Integration with web analytics tools00 Ratings8.8119 Ratings
Best Alternatives
Google BigQuerySemrush
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Nozzle
Nozzle
Score 10.0 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Advanced Web Ranking
Advanced Web Ranking
Score 8.2 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Dupli Checker (DupliChecker.com)
Dupli Checker (DupliChecker.com)
Score 8.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google BigQuerySemrush
Likelihood to Recommend
8.8
(77 ratings)
8.2
(154 ratings)
Likelihood to Renew
8.1
(5 ratings)
9.1
(3 ratings)
Usability
7.0
(6 ratings)
8.0
(10 ratings)
Availability
7.3
(1 ratings)
9.1
(1 ratings)
Performance
6.4
(1 ratings)
7.3
(1 ratings)
Support Rating
5.3
(11 ratings)
9.9
(17 ratings)
Implementation Rating
-
(0 ratings)
7.3
(1 ratings)
Configurability
6.4
(1 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
10.0
(1 ratings)
-
(0 ratings)
Ease of integration
7.3
(1 ratings)
-
(0 ratings)
Product Scalability
7.3
(1 ratings)
9.1
(1 ratings)
Professional Services
8.2
(2 ratings)
-
(0 ratings)
User Testimonials
Google BigQuerySemrush
Likelihood to Recommend
Google
Event-based data can be captured seamlessly from our data layers (and exported to Google BigQuery). When events like page-views, clicks, add-to-cart are tracked, Google BigQuery can help efficiently with running queries to observe patterns in user behaviour. That intermediate step of trying to "untangle" event data is resolved by Google BigQuery. A scenario where it could possibly be less appropriate is when analysing "granular" details (like small changes to a database happening very frequently).
Read full review
Semrush
This is suited to plan for keywords in a single market, but it struggles when you need to consolidate several markets. It is well-suited to discover new keywords directly related to the ones being used currently to expand the content the company is creating to get better results.
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Pros
Google
  • Realtime integration with Google Sheets.
  • GSheet data can be linked to a BigQuery table and the data in that sheet is ingested in realtime into BigQuery. It's a live 'sync' which means it supports insertions, deletions, and alterations. The only limitation here is the schema'; this remains static once the table is created.
  • Seamless integration with other GCP products.
  • A simple pipeline might look like this:-
  • GForms -> GSheets -> BigQuery -> Looker
  • It all links up really well and with ease.
  • One instance holds many projects.
  • Separating data into datamarts or datameshes is really easy in BigQuery, since one BigQuery instance can hold multiple projects; which are isolated collections of datasets.
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Semrush
  • Great visuals for keyword position tracking, love that you can see the page that is ranking
  • Enjoyed the auto-generated reporting feature (specifically in the context of keyword position tracking)
  • Shows many different and useful views for competitive research
  • Great templated keyword research tools for those who are not as hands-on with SEO
  • I LOVE the Keyword Magic Tool for honing in on longtail, high-opportunity keywords
Read full review
Cons
Google
  • Please expand the availability of documentation, tutorials, and community forums to provide developers with comprehensive support and guidance on using Google BigQuery effectively for their projects.
  • If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. Also, some cost reduction is welcome.
  • It still misses the process of importing data into Google BigQuery. Probably, by improving compatibility with different data formats and sources and reducing the complexity of data ingestion workflows, it can be made to work.
Read full review
Semrush
  • Extra seats can be expensive, as [an] agency with multiple team members this can be frustrating
  • Backlink data is not great, misses out a lot of backlinks (better off using a specialist backlink tool like Link research tools LRT)
  • Tracking multiple keywords, across multiple clients can be costly
Read full review
Likelihood to Renew
Google
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
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Semrush
I [previously] used Semrush for many years and I cannot find any other tool being so complete and easy to use.
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Usability
Google
I think overall it is easy to use. I haven't done anything from the development side but an more of an end user of reporting tables built in Google BigQuery. I connect data visualization tools like Tableau or Power BI to the BigQuery reporting tables to analyze trends and create complex dashboards.
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Semrush
The interface is a little less intuitive than it could be. The data is often available but filtering and manipulating the data can be a little difficult at times. Expanded comparisons would be helpful since most of the time seeing more than a few competitors at a time allows for a better sense of how to forecast.
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Reliability and Availability
Google
I have never had any significant issues with Google Big Query. It always seems to be up and running properly when I need it. I cannot recall any times where I received any kind of application errors or unplanned outages. If there were any they were resolved quickly by my IT team so I didn't notice them.
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Semrush
Semrush available when you need it!
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Performance
Google
I think Google Big Query's performance is in the acceptable range. Sometimes larger datasets are somewhat sluggish to load but for most of our applications it performs at a reasonable speed. We do have some reports that include a lot of complex calculations and others that run on granular store level data that so sometimes take a bit longer to load which can be frustrating.
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Semrush
SemRush performs well with few errors!
Read full review
Support Rating
Google
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
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Semrush
I'm in a FB group for Semrush paid users and it amazing! They are fast to respond, take suggestions and help with questions. I have not felt alone in using this product at all. Highly recommend their support team. When I had an issue I can jump into the group and they will help get me the right person to help or even tag their programmers to look at something that is going on. Love the group!
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Implementation Rating
Google
No answers on this topic
Semrush
I did it by myself and do not have a comment!
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Alternatives Considered
Google
PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
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Semrush
We have used both Ahrefs and Semrush extensively at our agency and Semrush remains the tool of choice. We find that Semrush has the largest selection of tools & features to use, with the highest accuracy, and provides top-tier analysis recommendations. It's really is the ultimate all-in-one tool when comparing other performance measurement tools in the digital marketing space.
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Contract Terms and Pricing Model
Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
Read full review
Semrush
No answers on this topic
Scalability
Google
We have continued to expand out use of Google Big Query over the years. I'd say its flexibility and scalability is actually quite good. It also integrates well with other tools like Tableau and Power BI. It has served the needs of multiple data sources across multiple departments within my company.
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Semrush
Semrush is flexible and scalable software which can be deployed across multiple departments and sites as needed.
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Professional Services
Google
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
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Semrush
No answers on this topic
Return on Investment
Google
  • Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
  • We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
  • Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
Read full review
Semrush
  • Using Semrush on behalf of our clients, we have seen some impressive growth in organic visibility, traffic, conversion and revenue, across multiple industries.
  • The site checks available with Semrush have helped us to pitch and sell our services, securing new clients.
Read full review
ScreenShots

Google BigQuery Screenshots

Screenshot of Migrating data warehouses to BigQuery - Features a streamlined migration path from Netezza, Oracle, Redshift, Teradata, or Snowflake to BigQuery using the fully managed BigQuery Migration Service.Screenshot of bringing any data into BigQuery - Data files can be uploaded from local sources, Google Drive, or Cloud Storage buckets, using BigQuery Data Transfer Service (DTS), Cloud Data Fusion plugins, by replicating data from relational databases with Datastream for BigQuery, or by leveraging Google's data integration partnerships.Screenshot of generative AI use cases with BigQuery and Gemini models - Data pipelines that blend structured data, unstructured data and generative AI models together can be built to create a new class of analytical applications. BigQuery integrates with Gemini 1.0 Pro using Vertex AI. The Gemini 1.0 Pro model is designed for higher input/output scale and better result quality across a wide range of tasks like text summarization and sentiment analysis. It can be accessed using simple SQL statements or BigQuery’s embedded DataFrame API from right inside the BigQuery console.Screenshot of insights derived from images, documents, and audio files, combined with structured data - Unstructured data represents a large portion of untapped enterprise data. However, it can be challenging to interpret, making it difficult to extract meaningful insights from it. Leveraging the power of BigLake, users can derive insights from images, documents, and audio files using a broad range of AI models including Vertex AI’s vision, document processing, and speech-to-text APIs, open-source TensorFlow Hub models, or custom models.Screenshot of event-driven analysis - Built-in streaming capabilities automatically ingest streaming data and make it immediately available to query. This allows users to make business decisions based on the freshest data. Or Dataflow can be used to enable simplified streaming data pipelines.Screenshot of predicting business outcomes AI/ML - Predictive analytics can be used to streamline operations, boost revenue, and mitigate risk. BigQuery ML democratizes the use of ML by empowering data analysts to build and run models using existing business intelligence tools and spreadsheets.