TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    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)

    SharePoint

    Score7.9 out of 10
    N/AMicrosoft's SharePoint is an Intranet solution that enables users to share and manage content, knowledge, and applications to empower teamwork, quickly find information, and collaborate across the organization.

    $5

    Per User Per Month

    Pricing
    Google BigQuerySharePoint
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Plan 1
    $5.00
    Per User Per Month
    Plan 2
    $10.00
    Per User Per Month
    Office 365 E3
    $20.00
    Per User Per Month
    Offerings
    Pricing Offerings
    Google BigQuerySharePoint
    Free Trial
    YesYes
    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 BigQuerySharePoint
    Considered Both Products
    Google
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    89%
    Would buy again
    51 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    96%
    Delivers good value for the price
    45 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    95%
    Happy with the feature set
    54 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    96%
    Lived up to sales and marketing promises
    27 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    97%
    Implementation went as expected
    37 Answers
    Features
    Google BigQuerySharePoint
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Microsoft SharePoint
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Microsoft SharePoint
    -
    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
    Best Alternatives
    Google BigQuerySharePoint
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    HCL Connections
    Score9 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    HCL Connections
    Score9 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    HCL Connections
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySharePoint
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.1
    (271 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    9.8
    (26 ratings)
    Usability
    6.6
    (6 ratings)
    8.2
    (31 ratings)
    Availability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.8
    (13 ratings)
    In-Person Training
    -
    (0 ratings)
    4.5
    (1 ratings)
    Online Training
    -
    (0 ratings)
    6.4
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.0
    (5 ratings)
    Configurability
    6.4
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    9.2
    (51 ratings)
    Data Sources
    -
    (0 ratings)
    7.6
    (50 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 BigQuerySharePoint
    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
    Microsoft
    It's Microsoft, so it rarely goes down or unnecessarily limits access. It works, though page load times can be long if you have lots of data. I feel like the Mac vs. PC divide has started to show up for MS products, but SharePoint works well with both.
    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
    Microsoft
    • We track employees' performance sheets, which are accessible to the employee, his manager, and HR, and this helps with transparency.
    • We maintain technical process documents and SOPs, which help us quickly provide relevant documents during audits.
    • We maintain incident documents change request forms in SharePoint, which helps us in tracking the changes.
    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
    Microsoft
    • Windows Explorer users have some difficulty having to constantly UPLOAD / DOWNLOAD files. Specifically on the DOWNLOAD when they are used to Drag & Drop in & out of LOCAL folders via Window's explorer.
    • Microsoft SharePoint supports multiple "library" types. When implementing our "image" library the search function is done via "tags" and boolean logic. This is challenging to most end users. I'd like our users to be able to search our Microsoft SharePoint image library without having to enter KEYWORD or other BOOLEAN logic.
    • Microsoft SharePoint can also be an internal website for each department or company wide communication tool but I believe these features are geared for much larger organizations. Since we are a SMB we really aren't using these features. So maybe something more useful to SMBs would be nice.
    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
    Microsoft
    It's integral to our business. It's already included with most of the Office 365 licensing we buy, so the cost is effectively zero. It stores our files, it is the foundation for custom applications, and Microsoft only continues to enhance its functionality and its connections to other Microsoft tools. SharePoint just keeps getting better and better.
    Incentivized
    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
    Microsoft
    No usability issues reported. Individual teams also have allocated areas which replace legacy shared drives on local LANs. Access to Sharepoint resources is fully integrated with corporate Active Directory with additional two-factor authentication required for administrative users. Users have access to Microsoft Services Hub which allows you to create, manage, and track support requests while staying current on Microsoft technologies with access to select self-paced learning paths
    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
    Microsoft
    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
    Microsoft
    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
    Microsoft
    Support for SharePoint is quite good. Microsoft provides good support. Microsoft offers
    • Quick turnaround time for issues
    • A range of support services
    • Access to a network of resources
    • Escalation of issues
    • Ongoing development and commitment to produce enhancement
    The majority of support is required for initial installation. Once complete and the system is operating we have had very few support issues.
    Incentivized
    Read full review
    In-Person Training
    Google
    No answers on this topic
    Microsoft
    The face to face training I received was on SharePoint Administration. It was rushed as there was a lot of information to cover and the application of the labs weren't that great either. I like to be able to relate what I am learning to what I am currently doing.
    Read full review
    Online Training
    Google
    No answers on this topic
    Microsoft
    I like to learn at my own pace and online training allows for that. Additionally, you can skip through pieces of content that you already know or are already comfortable with. Microsoft actually offers great videos on their website for basic fundamental SharePoint Training. I have used these training videos in some of my own training sessions with end users.
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Microsoft
    Planning to the last detail would be advised. SharePoint is a very large application that takes a lot of finesse to get operational
    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
    Microsoft
    The reasons for selecting MS SharePoint are: SharePoint provides ease of use and web design assistance and support SharePoint helps you schedule your content for publishing. enables users to share documents with external parties and offers a better internal structure of the content and better indexing and searching capabilities.
    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
    Microsoft
    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
    Microsoft
    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
    Microsoft
    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
    Microsoft
    • It comes with Office 365. It won't cost you any additional charges.
    • It will help you to streamline your communication and work as a central hub for all tasks, files[,] and events[.]
    • Setting it up will need a bit [of] planning. If you jump blindly it will become a confusing place for your team members and make them frustrated[.]
    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.