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Google BigQuery vs. Sitecore Digital Experience Platform

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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)

    Sitecore Digital Experience Platform

    Score8.9 out of 10
    N/AThe Sitecore Experience Platform (Sitecore XP) is a digital experience platform used to build websites and create customer experiences online. The solution boasts fast content authoring, built-in personalization features, testing and other optimizations, as well as analytics and marketing features.N/A
    Pricing
    Google BigQuerySitecore Digital Experience Platform
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    No answers on this topic
    Offerings
    Pricing Offerings
    Google BigQuerySitecore Digital Experience Platform
    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
    Community Pulse
    Google BigQuerySitecore Digital Experience Platform
    Considered Both Products
    Google
    No answer on this topic
    Sitecore
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    90%
    Would buy again
    19 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    94%
    Delivers good value for the price
    17 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    95%
    Happy with the feature set
    20 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    100%
    Lived up to sales and marketing promises
    18 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    95%
    Implementation went as expected
    19 Answers
    Features
    Google BigQuerySitecore Digital Experience Platform
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Sitecore Digital Experience Platform
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Sitecore Digital Experience Platform
    -
    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
    Security
    Comparison of Security features of Google BigQuery and Sitecore Digital Experience Platform
    Feature
    Google BigQuery
    -
    Ratings
    Sitecore Digital Experience Platform
    9.9
    37 Ratings
    21% above category average
    Role-based user permissions00 Ratings9.938 Ratings
    Platform & Infrastructure
    Comparison of Platform & Infrastructure features of Google BigQuery and Sitecore Digital Experience Platform
    Feature
    Google BigQuery
    -
    Ratings
    Sitecore Digital Experience Platform
    9.8
    34 Ratings
    20% above category average
    API00 Ratings9.934 Ratings
    Internationalization / multi-language00 Ratings9.732 Ratings
    Web Content Creation
    Comparison of Web Content Creation features of Google BigQuery and Sitecore Digital Experience Platform
    Feature
    Google BigQuery
    -
    Ratings
    Sitecore Digital Experience Platform
    9.2
    37 Ratings
    26% above category average
    WYSIWYG editor00 Ratings8.237 Ratings
    Code quality / cleanliness00 Ratings9.436 Ratings
    Admin section00 Ratings9.537 Ratings
    Page templates00 Ratings9.735 Ratings
    Library of website themes00 Ratings8.322 Ratings
    Mobile optimization / responsive design00 Ratings9.034 Ratings
    Publishing workflow00 Ratings9.736 Ratings
    Form generator00 Ratings9.735 Ratings
    Web Content Management
    Comparison of Web Content Management features of Google BigQuery and Sitecore Digital Experience Platform
    Feature
    Google BigQuery
    -
    Ratings
    Sitecore Digital Experience Platform
    9.4
    36 Ratings
    35% above category average
    Content taxonomy00 Ratings9.735 Ratings
    SEO support00 Ratings9.733 Ratings
    Bulk management00 Ratings9.531 Ratings
    Availability / breadth of extensions00 Ratings8.534 Ratings
    Community / comment management00 Ratings9.632 Ratings
    Results and Analysis
    Comparison of Results and Analysis features of Google BigQuery and Sitecore Digital Experience Platform
    Feature
    Google BigQuery
    -
    Ratings
    Sitecore Digital Experience Platform
    7.5
    16 Ratings
    7% below category average
    Conversion tracking00 Ratings7.716 Ratings
    Test reporting00 Ratings7.417 Ratings
    Funnel Analysis00 Ratings7.417 Ratings
    User Segmentation00 Ratings7.717 Ratings
    Digital Experience Platform
    Comparison of Digital Experience Platform features of Google BigQuery and Sitecore Digital Experience Platform
    Feature
    Google BigQuery
    -
    Ratings
    Sitecore Digital Experience Platform
    8.2
    19 Ratings
    3% below category average
    Campaign management00 Ratings8.820 Ratings
    Cloud enablement00 Ratings8.119 Ratings
    Content aggregation00 Ratings8.219 Ratings
    Content classification00 Ratings8.619 Ratings
    Multi-channel content personalization00 Ratings7.819 Ratings
    Customer data analytics00 Ratings7.418 Ratings
    DXP Third-Party Integrations00 Ratings7.319 Ratings
    Multi-website management00 Ratings8.918 Ratings
    Digital asset management00 Ratings8.418 Ratings
    Editorial workflows and task management00 Ratings8.018 Ratings
    Best Alternatives
    Google BigQuerySitecore Digital Experience Platform
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Yext
    Score6.8 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Progress Sitefinity
    Score7.9 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Progress Sitefinity
    Score7.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySitecore Digital Experience Platform
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.7
    (49 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    8.7
    (11 ratings)
    Usability
    6.6
    (6 ratings)
    9.0
    (24 ratings)
    Availability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    9.1
    (4 ratings)
    Online Training
    -
    (0 ratings)
    10.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.1
    (3 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)
    9.0
    (1 ratings)
    User Testimonials
    Google BigQuerySitecore Digital Experience Platform
    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
    Sitecore
    Sitecore offers Content Hub with Product Content Management and Content Management Platform. The Digital Experience Platform and Content Hub can both host structured content and publish the finalized version to Experience Edge. Both platforms offer different ways to manage content. During a technical and business evaluation, the evaluation panel must understand the difference between a Content Modelling focused approach, or a layout management focused approach. Sitecore Digital Experience Platform is also best not to be used to host many files and images in the Media Library. That responsibility should be offloaded to a digital asset management company like Sitecore Content Hub DAM. The technology evaluation panel must also understand how to work with a Headless CMS, where the HEAD needs to be hosted, and the costs associated with the HEAD. Composable DXP is fantastic, but everyone must understand the various cost components. Marketers and the data team will need to go into the CDP and Personalize the platform with an excellent understanding of how a composable "installation" works. All the Martech vendors have similar challenges that data and development teams need to work through with a full experience. Any CDP/analytics platform will, at some stage, require further data enrichment from other sources. Understanding the Sitecore Search features and limitations is also essential.
    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
    Sitecore
    • Comprehensive Solution: Sitecore offers a fully integrated suite of products that cover the full spectrum of DXP capabilities, including search, personalization experimentation and more, delivering a complete composable DXP solution for customers.
    • Beyond Headless: XM Cloud provides more than just headless capabilities, featuring in-built tools like authoring host, page editor, etc., enabling faster and more powerful implementations.
    • Focus on AI: Sitecore has now got an excellent AI offering called Stream; it looks promising; however, it would be too early to give feedback on the same.
    • Customization: Sitecore's backend is highly customizable, allowing for deep modifications through pipelines and patch configurations.
    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
    Sitecore
    • Experience Editor is a little old fashioned and sometimes slow to use.
    • Bulk operations in the Content Editor
    • Sitecore serialization is should be part of the Content Editor to provide visual reference for items which are serialized and will be overwritten by future deployments similar to what Unicorn does so well
    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
    Sitecore
    Sitecore has proven that it can deliver on its promise of a robust, reliable enterprise CMS solution with plenty of features. Also, they keep updating it with more and better features. Now that we are highly trained on it we have started on getting the most out of it and we plan to keep doing more of that in the future.
    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
    Sitecore
    We use Sitecore extensively because it provides a single platform for managing content, personalization, and digital experiences across multiple web properties and customer journeys. At our scale, the biggest value is consistency, governance, and the ability for marketing teams to manage experiences without needing engineering support for every change. It also integrates well with the broader CRM/marketing stack, so it becomes quite embedded once deployed.
    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
    Sitecore
    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
    Sitecore
    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
    Sitecore
    1. Customized software development & maintenance. 2. Technology Consulting - Consulting-based services for technology solutions data engineering or cloud solutions. 3. Used for tapping into multiple data sources such as CRM and marketing automation systems and, creating automated data extracts with a high-end visual representation of data. 4. Implemented for scheduling an existing report to automatically refresh and be delivered to specific users at a specific regular interval.
    Incentivized
    Read full review
    Online Training
    Google
    No answers on this topic
    Sitecore
    Sitecore captures and remembers every single interaction your customers and prospects have in any part of the system, allowing you to build comprehensive, ever-learning profiles of each individual. From email marketing, to social media, to online shopping, Sitecore remembers where each interaction left off so you can automatically continue the conversation. Sitecore helps you manage your content for each and every experience your customers enjoy. Customize what content you want and the system will take care of how it's displayed.
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Sitecore
    Make sure you work with a partner that can help you take advantage of the entire platform. Specifically we see a lot of customers not taking advantage of Sitecore DMS and thus missing a huge opportunity. Sitecore is a platform that is meant to be constantly optimized and improved upon.
    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
    Sitecore
    Really the only comparable product to Sitecore DXP is Adobe Experience Manager. Both are very well established and robust content management platforms. Products like Contentful and Contentstack are very lightweight and do not have as many built-in features like DXP, so it is not a fair comparison. For highly complex enterprise type engagements, Sitecore DXP and AEM are always brought to the table together for consideration.
    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
    Sitecore
    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
    Sitecore
    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
    Sitecore
    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
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    Sitecore
    • Since moving the site to Sitecore we have had an increase in conversion - that's the ultimate goal of all these things. It's likely to be partly tied in to the re-design that happened at the same time, but the way in which you can personalise and change things really helps give the best customer journey.
    • The negative impact we've seen is mainly due to expectations around how easily things can be shared between separate instances of Sitecore - if you haven't built stuff sharable it won't be sharable, but the business have been sold Sitecore (partly) on the basis that things would be easily sharable.
    • My developers don't all like working in Sitecore - it takes time to learn, takes a long time to build and run as well as requiring a few processes around it, like Unicorn Sync, etc. One of my devs has actually asked to not work on it again! So, a potential recruitment issue.
    Incentivized
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    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.