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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google BigQuery

    Score8.8 out of 10
    N/AGoogle'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)

    SpyFu

    Score7 out of 10
    N/ASpyFu is the eponymous SEO and PPC research platform from the company in Scottsdale, Arizona focused on "spying" on competitors, or basically using their behaviors to refine your own through keyword and content analysis, and backlink poaching. This positional search engine optimization and paid listings management platform touts the ability to lower costs and raise rankings via a Kombat-oriented approach... basically a cute way of saying "it makes comparisons" of how well your site does in niche…

    $39

    per month

    Pricing
    Google BigQuerySpyFu
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Basic
    $39
    per month
    Professional
    $79
    per month
    Team
    $299
    per month
    Offerings
    Pricing Offerings
    Google BigQuerySpyFu
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Features
    Google BigQuerySpyFu
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and SpyFu
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    SpyFu
    -
    Ratings
    Automatic software patching8.017 Ratings00 Ratings
    Database scalability9.079 Ratings00 Ratings
    Automated backups8.524 Ratings00 Ratings
    Database security provisions8.873 Ratings00 Ratings
    Monitoring and metrics8.675 Ratings00 Ratings
    Automatic host deployment8.013 Ratings00 Ratings
    SEO
    Comparison of SEO features of Google BigQuery and SpyFu
    Feature
    Google BigQuery
    -
    Ratings
    SpyFu
    6.6
    52 Ratings
    15% below category average
    Keyword analysis00 Ratings7.052 Ratings
    Backlink management00 Ratings6.040 Ratings
    SERP ranking tracking00 Ratings6.044 Ratings
    Page grader00 Ratings7.829 Ratings
    Competitive analysis00 Ratings7.051 Ratings
    Site audit / diagnostics00 Ratings7.232 Ratings
    Site recommendations00 Ratings6.031 Ratings
    Task management00 Ratings6.120 Ratings
    SEO Channels
    Comparison of SEO Channels features of Google BigQuery and SpyFu
    Feature
    Google BigQuery
    -
    Ratings
    SpyFu
    5.8
    39 Ratings
    27% below category average
    Local SEO00 Ratings5.033 Ratings
    Social SEO00 Ratings5.028 Ratings
    Mobile SEO00 Ratings8.029 Ratings
    Global SEO00 Ratings5.035 Ratings
    SEO Platform & Account Management
    Comparison of SEO Platform & Account Management features of Google BigQuery and SpyFu
    Feature
    Google BigQuery
    -
    Ratings
    SpyFu
    7.2
    28 Ratings
    16% below category average
    Multi-domain support00 Ratings6.028 Ratings
    Integration with web analytics tools00 Ratings8.518 Ratings
    Best Alternatives
    Google BigQuerySpyFu
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Serpstat
    Score10 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Yoast
    Score8.5 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Google Trends
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySpyFu
    Likelihood to Recommend
    9.0
    (79 ratings)
    7.0
    (62 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    10.0
    (10 ratings)
    Usability
    6.6
    (6 ratings)
    7.0
    (1 ratings)
    Availability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    7.6
    (13 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)
    -
    (0 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Google BigQuerySpyFu
    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).
    Incentivized
    Read full review
    SpyFu
    If you have a Google ads PPC campaign and then I would say this is more or less essential if you want to know what your competitors are doing. You can get very useful data out of it even if you subscribe for one month. And the pricing is very reasonable. Even if you don't use Google ads, I would say this is still useful for your SEO/SMO team since it gives you a great idea of what keywords and traffic your competitors are working on.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    SpyFu
    • Keeping a tab on competitors organic and inorganic activities
    • Helps identify where the competitor is getting the backlinks from.
    • Identify competitors top content and the keywords that's bringing them traffic
    • Get proper information of their current and past ADS run on Google.
    Incentivized
    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.
    Incentivized
    Read full review
    SpyFu
    • As with any database, their keyword database has limits, so the data returned is relative to their database, not necessarily the full picture.
    • When SpyFu database or scoring chances, the data provided can spike, thus causing confusion among stakeholders, we're reporting to.
    Incentivized
    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.
    Incentivized
    Read full review
    SpyFu
    Love this tool but would like insights from all 3 major search engines not just Google. I would also like deeper understanding of the placement for local businesses on Google Places/Maps. Insight into mobile search rankings and best landing pages per industry would also help :) Overall, SpyFu is a necessity for serious search marketers.
    Read full review
    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.
    Incentivized
    Read full review
    SpyFu
    SpyFu is an easy to use tool, and has a self -explanatroy dashborad to generate the data needed to provide insights into any B2B SEO and PPC campaign. It is not comprehensive, but it certainly provides good enough insight to make it a valuable part of any agency tool stack
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    SpyFu
    No answers on this topic
    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.
    Incentivized
    Read full review
    SpyFu
    No answers on this topic
    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.
    Incentivized
    Read full review
    SpyFu
    SpyFu comes with a link to tutorial videos. I recommend you watch them. The software is capable of so much you really need to watch the videos and learn how to get the most out of it. When I have a question 90% of the time it's there. When it isn't, and I reach out to them, support is always quick and concise.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    SpyFu
    I was surprised to find I preferred Semrush when it comes to keyword research. SpyFu is great (and less expensive than Semrush), but I felt the data Semrush provided was vaster than SpyFu. I was able to get more competitors spending insights in Semrush than SpyFu. Overall, I liked the ability to use both in our keyword research for both paid and organic marketing.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    Google
    None so far. Very satisfied with the transparency on contract terms and pricing model.
    Read full review
    SpyFu
    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.
    Incentivized
    Read full review
    SpyFu
    No answers on this topic
    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.
    Read full review
    SpyFu
    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.
    Incentivized
    Read full review
    SpyFu
    • Helping us track our ranking.
    • It helps solve the problem of ambiguity when it comes to Google Ads. It makes the strategy more clear.
    • You can sift through lots of different online analytics to find the information, but it takes way too long. SpyFu has it all in one place!
    Incentivized
    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.