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Google BigQuery vs. Looker

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Google BigQuery

277 Reviews and Ratings

Looker

426 Reviews and Ratings

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google BigQuery

    Score8.4 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)

    Looker

    Score8.8 out of 10
    		N/ALooker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.N/A
    Pricing
    Google BigQueryLooker
    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 BigQueryLooker
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeRequired
    Additional Details—Must contact sales team for pricing.
    More Pricing Information
    Community Pulse
    Google BigQueryLooker
    Considered Both Products
    Google
    Verified User
    Chose Google BigQuery
    It's easier to connect data between BigQuery and Looker Studio instead of connecting the data between BigQuery and Tableau in terms of data explore or dashboard creating. Therefore we are considering migrating dashboards from Tableau to Looker Studio for the whole company.
    On …
    Incentivized
    Verified User
    Chose Google BigQuery
    I personally find it by far simpler than Amazon Redshift due it's onboarding seamlessness. For a quick start and simplify tye access to read the data big query provide better user experience and a smoother user interface. More importantly, the fact that Big Query can be easily …
    Incentivized
    Verified User
    Chose Google BigQuery
    Google BigQuery seemlessly integrates with all the Google services. In Looker Studio you directly have a connector for Google BigQuery which can help to create dashboards in few clicks.
    For automating some stored procedures we have used Cloud Functions which are triggered by a …
    Incentivized
    Ilyas Bakirov
    CTO (Chief Technical Officer) in Information Technology at APD HOLDING (Computer Software, 11-50 employees)
    Chose Google BigQuery
    Suits well for Business Intellegence and vizualization with Looker. Cloud storage options and seamless integration with Google online products.
    Incentivized
    Umang Aggarwal
    Customer Insights Manager in Marketing at Comcast (Telecommunications, 10,001+ employees)
    Chose Google BigQuery
    I have used most of the data analytics platforms. Based on my work, I have found that the user interface of Google BigQuery is simple to navigate. I like the front view - ease of joining tables, and integration with other platforms.
    Incentivized
    Adam Rooney
    Senior Developer in Information Technology at M and M Direct (Retail, 501-1000 employees)
    Chose Google BigQuery
    In my opinion, Google BigQuery is custom made to be the best data lake system that is easy to use, scalas to fit any business size, has inbuilt security, as well as tools for data integrity. Although a few other tools have some of the same functionality, Google BigQuery is the …
    Incentivized
    Verified User
    Chose Google BigQuery
    Google BigQuery's main advantage over its direct competitors (Amazon Redshift and Azure Synapse) is that it is widely supported by non-Google software, while the others rely heavily on their own cloud ecosystems.
    Incentivized
    Avelino Munoz
    Enforcement specialist in Customer Service at Etsy (Arts & Crafts, 1001-5000 employees)
    Chose Google BigQuery
    I have used other data manipulation tools like SQL Server and Google BigQuery feels more intuitive, Google provides so much documentation and tutorials that getting to know the software is not only easy but even satisfactory, so I'd say Google BigQuery is very superior to that …
    Incentivized
    Nir Levy
    VP R&D, DevOps, and Products in Research & Development at Zoomd Technologies (Information Technology & Services, 51-200 employees)
    Chose Google BigQuery
    Compared to SingleStore, BigQuery has a big advantage of being completely serverless, and without practical limitations.

    Compared to RedShift, we found the cost model to be more fitted to our needs.
    Incentivized
    Verified User
    Chose Google BigQuery
    Cost is the important factor for us compared with all of the other tools Google BigQuery stands top among all of them which charges very minimal charges for storage against all the apps that we have liked the most additionally, we can do query on our data, and can build …
    Incentivized
    Verified User
    Chose Google BigQuery
    Google BigQuery of course collects a much much larger array of raw data and can handle (practically) an unlimited amount of data. For a large enterprise like ours that relies on large-scale analytics, this is absolutely imperative. Google BigQuery can also combine GA4 data with …
    Incentivized
    Francois Salvert
    Web Analytics and Dashboarding in Marketing at Blue Cross (Insurance, 201-500 employees)
    Chose Google BigQuery
    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
    Verified User
    Chose Google BigQuery
    Main reason is how it integrates directly with the google ecosystem which really facilitates the automatization proceses for the whole company. This ensures that sales and all the other departments have the correct information on a daily bases with a ease of use with day to day …
    Incentivized
    Verified User
    Chose Google BigQuery
    I've used Domo while working for an advertising agency and the functionality was way worse and the user interface was not near as good.
    Incentivized
    Google
    Verified User
    Chose Looker
    The learning curve for Tableau Cloud was too steep for our team. After watching a couple of YouTube videos, anyone can begin connecting data sources and creating reports with Looker. Looker is also free with Google Workspace, making the decision between Looker and Tableau a …
    Incentivized
    Danilo Roberto Zerón
    Senior Manager, Digital Advertising & E-Commerce Team in Corporate at GroupM Nexus Worldwide (Marketing & Advertising, 10,001+ employees)
    Chose Looker
    Google Looker Studio is an online tool for converting data into customizable, informative reports and dashboards. It is a free tool that turns performance data into informative, easy-to-read, easy-to-share, and fully customizable dashboards & reports. Google Looker Studio turns …
    Incentivized
    Verified User
    Chose Looker
    Mixpanel is the behemoth of the industry, but given Looker's acquisition by Google, it now offers better value in my opinion
    Incentivized
    Scott Schaen
    Vice President of Analytics at Bounce Exchange (Computer Software, 201-500 employees)
    Chose Looker
    Tableau is also a great BI tool, but it felt a lot less flexible to me in terms of customization of data. As a visual platform, Tabluea is incredible; it can produce unbelievably rich visualizations and dashboards. It's also easier to get set up on Tableau too, but ultimately …
    Incentivized
    Francois Salvert
    Web Analytics and Dashboarding in Marketing at Dataligent Services Analytiques Inc. (Marketing & Advertising, 1-10 employees)
    Chose Looker
    Free, simpler...less enterprise grade level
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    Google BigQueryLooker
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Looker
    Feature
    Google BigQuery
    8.4
    71 Ratings
    Looker
    -
    Ratings
    Automatic software patching8.017 Ratings00 Ratings
    Database scalability9.270 Ratings00 Ratings
    Automated backups8.524 Ratings00 Ratings
    Database security provisions8.664 Ratings00 Ratings
    Monitoring and metrics8.066 Ratings00 Ratings
    Automatic host deployment8.013 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    8.8
    117 Ratings
    Pixel Perfect reports00 Ratings9.096 Ratings
    Customizable dashboards00 Ratings9.0115 Ratings
    Report Formatting Templates00 Ratings8.499 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    8.5
    116 Ratings
    Drill-down analysis00 Ratings8.2112 Ratings
    Formatting capabilities00 Ratings7.9114 Ratings
    Integration with R or other statistical packages00 Ratings8.947 Ratings
    Report sharing and collaboration00 Ratings9.2116 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    8.9
    112 Ratings
    Publish to Web00 Ratings8.494 Ratings
    Publish to PDF00 Ratings9.1100 Ratings
    Report Versioning00 Ratings8.775 Ratings
    Report Delivery Scheduling00 Ratings9.297 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    7.0
    113 Ratings
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.2109 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.297 Ratings
    Predictive Analytics00 Ratings4.66 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    8.3
    112 Ratings
    Multi-User Support (named login)00 Ratings8.7106 Ratings
    Role-Based Security Model00 Ratings8.293 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.2106 Ratings
    Report-Level Access Control00 Ratings8.245 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    6.3
    84 Ratings
    Responsive Design for Web Access00 Ratings7.681 Ratings
    Mobile Application00 Ratings5.01 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.575 Ratings
    User Ratings
    Google BigQueryLooker
    Likelihood to Recommend
    8.6
    (71 ratings)
    8.7
    (117 ratings)
    Likelihood to Renew
    8.1
    (3 ratings)
    9.5
    (7 ratings)
    Usability
    7.7
    (5 ratings)
    8.8
    (12 ratings)
    Availability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    6.0
    (1 ratings)
    Support Rating
    7.3
    (10 ratings)
    8.8
    (14 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    10.0
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.5
    (51 ratings)
    Data Sources
    -
    (0 ratings)
    7.3
    (51 ratings)
    Ease of integration
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    10.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (1 ratings)