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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)

    Looker

    Score8.1 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
    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
    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
    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
    Chose Google BigQuery
    Suits well for Business Intellegence and vizualization with Looker. Cloud storage options and seamless integration with Google online products.
    Incentivized
    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
    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
    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
    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
    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
    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
    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
    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
    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
    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
    Chose Looker
    The biggest advantage that Looker Studio has is that it's really easy to use and to distribute to other use. You can have a really complex report set up in a couple of minutes with an extract data source that enables Looker to update really fast.
    Incentivized
    Chose Looker
    Looker is less complex to use and links directly to google suite which we use across the business and personally think is a better user experience than microsoft.
    Incentivized
    Chose Looker
    Free, simpler...less enterprise grade level
    Incentivized
    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
    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
    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
    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
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    98%
    Would buy again
    85 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    99%
    Delivers good value for the price
    75 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    100%
    Happy with the feature set
    87 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    98%
    Lived up to sales and marketing promises
    55 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    97%
    Implementation went as expected
    69 Answers
    Features
    Google BigQueryLooker
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Looker
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Looker
    -
    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 Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    7.4
    134 Ratings
    10% below category average
    Pixel Perfect reports00 Ratings6.5110 Ratings
    Customizable dashboards00 Ratings8.2133 Ratings
    Report Formatting Templates00 Ratings7.5115 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    6.8
    132 Ratings
    16% below category average
    Drill-down analysis00 Ratings6.3128 Ratings
    Formatting capabilities00 Ratings6.6130 Ratings
    Integration with R or other statistical packages00 Ratings5.655 Ratings
    Report sharing and collaboration00 Ratings8.8131 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    7.9
    128 Ratings
    4% below category average
    Publish to Web00 Ratings7.7105 Ratings
    Publish to PDF00 Ratings7.8113 Ratings
    Report Versioning00 Ratings7.984 Ratings
    Report Delivery Scheduling00 Ratings8.2110 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    6.6
    128 Ratings
    19% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.7124 Ratings
    Location Analytics / Geographic Visualization00 Ratings7.5110 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
    7.3
    128 Ratings
    15% below category average
    Multi-User Support (named login)00 Ratings7.5120 Ratings
    Role-Based Security Model00 Ratings7.2105 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.2122 Ratings
    Report-Level Access Control00 Ratings7.360 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google BigQuery and Looker
    Feature
    Google BigQuery
    -
    Ratings
    Looker
    5.2
    95 Ratings
    39% below category average
    Responsive Design for Web Access00 Ratings4.991 Ratings
    Mobile Application00 Ratings5.01 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings5.885 Ratings
    Best Alternatives
    Google BigQueryLooker
    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 BigQueryLooker
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.0
    (134 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    9.2
    (8 ratings)
    Usability
    6.6
    (6 ratings)
    8.8
    (12 ratings)
    Availability
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    6.0
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.8
    (14 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Configurability
    6.4
    (1 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
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Product Scalability
    7.3
    (1 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)
    User Testimonials
    Google BigQueryLooker
    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
    Google
    When data drives potential for new orders, Looker earns its place in our tech stack. If, on the other hand, we are hoping for pipeline generation, Looker is useful if you are willing to repeatedly go check customer utilizations .... it is not appropriate if you are hoping to automate data analysis for this purpose.
    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
    Google
    • Show visited pages - sessions, pageviews - which programs are viewed the most.
    • Displays session source/medium views to see where users are coming from.
    • It shows the video titles, URLs, and event counts so we can monitor the performance of our videos.
    • It gives a graphic face to the numbers, such as using bar charts, pie graphs, and other charts to show user trends or which channels are driving engagement.
    • Our clients like to see the top pages visited for a month.
    • I like the drop-and-drag approach, and building charts is a little easier than it was before.
    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
    Google
    • Documentation is scarce, and very difficult to find when you need it.
    • Pricing is unclear, particularly as you look to scale your reports across the business.
    • Data from other sources is not represented in the system as well as first party Google services.
    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
    Google
    I give it this rating because it deems as effective, I am able to complete majority of my tasks using this app. It is very helpful when analyzing the data provided and shown in the app and it's just overall a great app for Operational use, despite the small hiccups it has (live data).
    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
    Google
    Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
    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
    Google
    No objections
    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
    Google
    Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok
    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
    Read full review
    Google
    Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Google
    Very satisfied, easy to implement
    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
    Google
    Looker Studio, you can easily report on data from various sources without programming. Looker Studio is available at no charge for creators and report viewers. Enterprise customers who upgrade to Looker Studio Pro will receive support and expanded administrative features, including team content management. So it's good.
    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
    Google
    Perfect price to performance
    Incentivized
    Read full review
    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
    Google
    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
    Google
    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
    Google
    • Looker has a poignant impact on our business's ROI objectives. As an advertising exchange we have specific goals for daily requests and fill, and having premade Looks to monitor this is an integral piece of our operational capability
    • To facilitate an efficient monthly billing cycle in our organization, Looker is essential to track estimated revenue and impression delivery by publisher. Without the Looks we have set up, we would spend considerably more time and effort segmenting revenue by vertical.
    • Looker's unique value proposition is making analytical tools more digestible to people without conventional analytical experience. Other competing tools like Tableau require considerably more training and context to successfully use, and the ability to easily plot different visualizations is one of its greatest selling points.
    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.

    Looker Screenshots

    Screenshot of a Looker dashboard with a geo chart.