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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)

    Strategy Analytics

    Score8.4 out of 10
    N/AMicroStrategy Analytics is an enterprise business analytics and mobility platform. Key features include automatic big data analysis and reporting, data discovery and visualization, digital security credentials, and support for mobile devices.N/A
    Pricing
    Google BigQueryStrategy Analytics
    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 BigQueryStrategy Analytics
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Must contact sales team for pricing information.
    More Pricing Information
    Community Pulse
    Google BigQueryStrategy Analytics
    Considered Both Products
    Google
    No answer on this topic
    Strategy
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    No answers on this topic
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    No answers on this topic
    Features
    Google BigQueryStrategy Analytics
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Strategy Analytics
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Strategy Analytics
    -
    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
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Google BigQuery and Strategy Analytics
    Feature
    Google BigQuery
    -
    Ratings
    Strategy Analytics
    10.0
    26 Ratings
    20% above category average
    Pixel Perfect reports00 Ratings10.023 Ratings
    Customizable dashboards00 Ratings10.023 Ratings
    Report Formatting Templates00 Ratings10.024 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and Strategy Analytics
    Feature
    Google BigQuery
    -
    Ratings
    Strategy Analytics
    10.0
    24 Ratings
    22% above category average
    Drill-down analysis00 Ratings10.022 Ratings
    Formatting capabilities00 Ratings10.024 Ratings
    Integration with R or other statistical packages00 Ratings10.016 Ratings
    Report sharing and collaboration00 Ratings10.023 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google BigQuery and Strategy Analytics
    Feature
    Google BigQuery
    -
    Ratings
    Strategy Analytics
    10.0
    23 Ratings
    20% above category average
    Publish to Web00 Ratings10.022 Ratings
    Publish to PDF00 Ratings10.023 Ratings
    Report Versioning00 Ratings10.020 Ratings
    Report Delivery Scheduling00 Ratings10.022 Ratings
    Delivery to Remote Servers00 Ratings10.05 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and Strategy Analytics
    Feature
    Google BigQuery
    -
    Ratings
    Strategy Analytics
    10.0
    22 Ratings
    22% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings10.020 Ratings
    Location Analytics / Geographic Visualization00 Ratings10.019 Ratings
    Predictive Analytics00 Ratings10.018 Ratings
    Pattern Recognition and Data Mining00 Ratings10.01 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google BigQuery and Strategy Analytics
    Feature
    Google BigQuery
    -
    Ratings
    Strategy Analytics
    10.0
    21 Ratings
    16% above category average
    Multi-User Support (named login)00 Ratings10.019 Ratings
    Role-Based Security Model00 Ratings10.020 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings10.020 Ratings
    Report-Level Access Control00 Ratings10.01 Ratings
    Single Sign-On (SSO)00 Ratings10.09 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google BigQuery and Strategy Analytics
    Feature
    Google BigQuery
    -
    Ratings
    Strategy Analytics
    9.7
    19 Ratings
    22% above category average
    Responsive Design for Web Access00 Ratings10.019 Ratings
    Mobile Application00 Ratings10.015 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings10.019 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google BigQuery and Strategy Analytics
    Feature
    Google BigQuery
    -
    Ratings
    Strategy Analytics
    10.0
    8 Ratings
    25% above category average
    REST API00 Ratings10.06 Ratings
    Javascript API00 Ratings10.07 Ratings
    iFrames00 Ratings10.05 Ratings
    Java API00 Ratings10.04 Ratings
    Themeable User Interface (UI)00 Ratings10.05 Ratings
    Customizable Platform (Open Source)00 Ratings10.06 Ratings
    Best Alternatives
    Google BigQueryStrategy Analytics
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryStrategy Analytics
    Likelihood to Recommend
    9.0
    (79 ratings)
    10.0
    (50 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    9.9
    (27 ratings)
    Usability
    6.6
    (6 ratings)
    3.2
    (5 ratings)
    Availability
    7.3
    (1 ratings)
    9.0
    (2 ratings)
    Performance
    6.4
    (1 ratings)
    9.0
    (2 ratings)
    Support Rating
    4.8
    (11 ratings)
    2.2
    (5 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.0
    (4 ratings)
    Configurability
    6.4
    (1 ratings)
    9.0
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.0
    (21 ratings)
    Data Sources
    -
    (0 ratings)
    8.8
    (21 ratings)
    Ease of integration
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    9.0
    (2 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Google BigQueryStrategy Analytics
    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
    Strategy
    MSTR is great for any organization that is looking for a way to deliver complicated data in an uncomplicated way. From business teams to marketing and finance, several departments benefit from using MSTR to keep track of KPIs enabling teams to make optimizations along the way. MSTR provides great visual representations of data enabling team members to distill thousands of data points into easily digestible charts and graphs
    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
    Strategy
    • They sell the product well, and make promises you will actually believe
    • "checks the box" for most features a company would need. Doesn't actually deliver them though
    • They answer the phone in a timely manner. Can't answer your questions or provide support, but the queue time isn't bad
    • They have online documentation. It's not up to date, and likely doesn't reflect the version of software you are using, but hey... they can point to it.
    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
    Strategy
    • The graph options are not as robust as an Excel user might want.
    • The metadata layer can sometimes be slower, and it takes a long time for reports to run.
    • Viewing the data feed entered can be cumbersome at times, in terms of validation with reports.
    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
    Strategy
    I would always choose to renew MicroStrategy as long as they lead the market in features, functionality and price. The support of MicroStrategy is timely and professional, I frequently get answers to my questions within 24 hours and normally have solutions within 48 hours. Training available for MicroStrategy completely covers everything required to be able to expertly use MicroStrategy and understand data warehousing.
    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
    Strategy
    The standard grid reporting could look more like the styling and object used for the Import and Visual Insight products. In addition, object properties almost seem to be hidden when first using the product. It's as if they are asking the engineers to only use the presets we make available...and, these presets are 10+ years old. On the positive side, Microstrategy seems to be the only product, not named Cognos, which can scale to Big Data. The product is "hackable" via the SDK or tricking the Intelligence Server to do uncommon things. The Microstrategy development team also seems to be very involved with their OEM partners; especially when it comes to features and enhancements. A large majority of the improvements we suggested have made it into the product or on the roadmap for future enhancements. Only suckas fall for the shiny objects from most other vendors; Microstrategy is really the only choice for Enterprise BI.
    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
    Strategy
    I've never had an issue with MicroStrategy not being available due to MicroStrategy application malfunction. It is very robust and only failures I've seen were due to user error or the platform the machine running the service failed some how.
    Incentivized
    Read full review
    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
    Strategy
    Being able to customize the performance based on the business need is extremely powerful. Proper configuration and understanding of the usage pattern is key, if the technical ability of the architect is not at top level, then the product will not be configured correctly which will lead to poor performance.
    Incentivized
    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.
    Incentivized
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    Strategy
    Good user community. Support team is available if you are under AMC. You get decent support after raising the support ticket. If it is product bug they will inform you and let you know which patch will resolve the same.
    Incentivized
    Read full review
    Online Training
    Google
    No answers on this topic
    Strategy
    I have attended many trainings offered by MicroStrategy; both distance and in-person training. I earned my CRD (Certified Report Developer) certification via the online training. I found the training to be well organized and concise. Overall I will definitely continue to increase my knowledge with MicroStrategy via the online training offering.
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Strategy
    We measured following KPI for the success
    • Increase in Business Feeds Loads
    • Reduction in Controllers Manual Work.
    • Conversion of Manual Work into Systematic Workflows.
    • Increase in Customer Spend
    • Reduction in Service costs
    • Reduction in time-to-market for new campaigns
    • Increase in cross sell and Up sell
    • Error reduction in customer Identification
    • Existing client retained
    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
    Strategy
    Tableau is probably MicroStrategy Analytic's biggest competitor I've noticed over time, and I'm not sure why. Tableau only covers visualizations independently for each business user, which then creates the issues of every employee creating their own version of the data, and then you have 20 versions of the truth. A enterprise data warehouse and MicroStrategy's Visual Insight is a better method.
    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
    Strategy
    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
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    Strategy
    This software is extremely scaleable, one can add more core servers which performs as a load balancing. The configurations available to manage usage patterns and daily activity are as high a caliber as any other enterprise level software. This product can be installed on both a windows and unix platform allow for integration on a budget.
    Incentivized
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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.
    Read full review
    Strategy
    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
    Strategy
    • MicroStrategy was helpful for reducing the amount of time we needed to spend number crunching large data sets, and in doing so, allowed me as the primary users to spend more time gleaning insights from the data that in turn informed our leadership team to make strategic decisions.
    • By creating numerous canned reports available to all members of the team through email distribution or basic access to the platform, we were able to reduce the time I spent showing people how to pull the data in Microsoft Excel by nearly 40% .
    • We ended up needing to make many changes to the way our DMP was feeding data into MicroStrategy due to incorrect reporting that caused complications in accounting and finance.
    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.