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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)

    ibi WebFOCUS

    Score7 out of 10
    N/AThe ibi™ WebFOCUS® product is an enterprise business intelligence and analytics solution equipped with data management, visual discovery, predictive analytics, and visualizations. Combining these capabilities and data science in one unified containerized platform, the WebFOCUS® solution can be used to make data-driven decisions across the enterprise and provide reports, dashboards, and customer-facing applications at scale.N/A
    Pricing
    Google BigQueryibi WebFOCUS
    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 BigQueryibi WebFOCUS
    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 BigQueryibi WebFOCUS
    Considered Both Products
    Google
    No answer on this topic
    Cloud Software Group
    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 BigQueryibi WebFOCUS
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and ibi WebFOCUS
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    ibi WebFOCUS
    -
    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 ibi WebFOCUS
    Feature
    Google BigQuery
    -
    Ratings
    ibi WebFOCUS
    7.7
    11 Ratings
    6% below category average
    Pixel Perfect reports00 Ratings7.06 Ratings
    Customizable dashboards00 Ratings9.011 Ratings
    Report Formatting Templates00 Ratings7.011 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and ibi WebFOCUS
    Feature
    Google BigQuery
    -
    Ratings
    ibi WebFOCUS
    9.3
    13 Ratings
    15% above category average
    Drill-down analysis00 Ratings8.013 Ratings
    Formatting capabilities00 Ratings10.013 Ratings
    Integration with R or other statistical packages00 Ratings9.08 Ratings
    Report sharing and collaboration00 Ratings10.012 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google BigQuery and ibi WebFOCUS
    Feature
    Google BigQuery
    -
    Ratings
    ibi WebFOCUS
    8.2
    11 Ratings
    0% below category average
    Publish to Web00 Ratings10.09 Ratings
    Publish to PDF00 Ratings8.09 Ratings
    Report Versioning00 Ratings6.010 Ratings
    Report Delivery Scheduling00 Ratings10.011 Ratings
    Delivery to Remote Servers00 Ratings7.03 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and ibi WebFOCUS
    Feature
    Google BigQuery
    -
    Ratings
    ibi WebFOCUS
    6.3
    10 Ratings
    24% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings6.08 Ratings
    Location Analytics / Geographic Visualization00 Ratings7.09 Ratings
    Predictive Analytics00 Ratings6.07 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google BigQuery and ibi WebFOCUS
    Feature
    Google BigQuery
    -
    Ratings
    ibi WebFOCUS
    9.0
    11 Ratings
    6% above category average
    Multi-User Support (named login)00 Ratings8.011 Ratings
    Role-Based Security Model00 Ratings10.011 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings10.011 Ratings
    Single Sign-On (SSO)00 Ratings8.04 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google BigQuery and ibi WebFOCUS
    Feature
    Google BigQuery
    -
    Ratings
    ibi WebFOCUS
    5.9
    11 Ratings
    27% below category average
    Responsive Design for Web Access00 Ratings9.011 Ratings
    Mobile Application00 Ratings3.32 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.08 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google BigQuery and ibi WebFOCUS
    Feature
    Google BigQuery
    -
    Ratings
    ibi WebFOCUS
    8.6
    3 Ratings
    10% above category average
    REST API00 Ratings10.01 Ratings
    Javascript API00 Ratings8.02 Ratings
    iFrames00 Ratings8.02 Ratings
    Themeable User Interface (UI)00 Ratings8.03 Ratings
    Customizable Platform (Open Source)00 Ratings9.01 Ratings
    Best Alternatives
    Google BigQueryibi WebFOCUS
    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 BigQueryibi WebFOCUS
    Likelihood to Recommend
    9.0
    (79 ratings)
    7.0
    (16 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    8.6
    (5 ratings)
    Usability
    6.6
    (6 ratings)
    8.0
    (3 ratings)
    Availability
    7.3
    (1 ratings)
    9.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    7.0
    (3 ratings)
    Online Training
    -
    (0 ratings)
    6.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (1 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)
    8.4
    (12 ratings)
    Data Sources
    -
    (0 ratings)
    9.4
    (12 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 BigQueryibi WebFOCUS
    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
    Cloud Software Group
    I would less recommend it because it looks like IBI is receding a bit from the European market. I would not be certain for future support. Knowledge in the market in western Europe is limited Functional wise the application suits almost all situations. I would for sure recommend it purely based on its capabilities
    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
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    Cloud Software Group
    • One thing that has always been good at WebFOCUS is how they interact with the customer on items. They take suggestions and implement them. In addition technical support is timely and very detailed.
    • I think they keep up with and lead in implementing new technologies in the BI space. One case of this are the ability for user to create their own easy dashboard using the green plus buttons. Also the ability to link d3 into and have the ability to implement new types of graphs is nice.
    • I have been to a spoke at one of their user conferences and they are worth going to. In addition to all of the great seminars the interaction you get with vendors and other users is key in the growth of your knowledge. I've learned so much for my time at these conferences.
    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
    Cloud Software Group
    • The newest versions of WebFOCUS have an unnecessarily complicated security layout that makes configuration difficult to accomplish without bringing in the vendor for installs.
    • This software tries to cover too many bases allowing you to switch from writing code manually to creating reports using only GUI tools. This sometimes complicates screens and functionality where the two methods don't always work well together. -though its nice to have the choice.
    • The sales force is not as top notch as many software companies
    Incentivized
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    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
    Cloud Software Group
    This software is deeply engrained with my organization and has become a tool that would not easily be replaced without spending more money and resources to get the same results. License cost is comparable to other report writing tools and the capabilities are greater than the competition without having to buy multiple apps to do the same thing.
    Incentivized
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    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
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    Cloud Software Group
    Best BI tool/product I have used. The others don't compare overall. Some can look fancier, but when you actually use them with large data and data from numerous systems/sources that is where most of the competition falls away. I also don't like downtime. I have basically none for a large user base with WebFocus. Even SAP Crystal Reports went down for 4 days once - 4 days because the admin password got locked out due to a glitch and we had zero reports for 4 days. WebFocus has never had more than a few minutes of downtime. It's like a tank that just keeps rolling. There is no other choice for reliable BI.
    Incentivized
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    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
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    Cloud Software Group
    Tracking availability formally for almost two years and we are at 99.8%
    Incentivized
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    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
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    Cloud Software Group
    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
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    Cloud Software Group
    They have extremely knowledgeable techs that I have worked with over the years. Some have actually become really good friends of mine. I see them often at local user groups and when we show them how we are using their tools to save millions of dollars throughout the company
    Incentivized
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    Online Training
    Google
    No answers on this topic
    Cloud Software Group
    It's hit and miss, the last class was overcrowded and people were having trouble connecting which took up much of the time. Instructors vary
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    Cloud Software Group
    Plan ahead on what data will be accessible and the type of security required on the database and if you will want to use security that is built into the software. It is worth consulting with the vendor on what your plan is and how they recommend you proceed in order to get results you are happy with.
    Incentivized
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    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
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    Cloud Software Group
    Webfocus handles the side of our business that is involved with our catalogs. Our catalogs is a huge revenue driver for us and this tool has been extremely useful with planning feature catalogs. Tableau is used more for marketing and merchandising purchases since we can filter data based on website sales.
    Incentivized
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    Contract Terms and Pricing Model
    Google
    None so far. Very satisfied with the transparency on contract terms and pricing model.
    Read full review
    Cloud Software Group
    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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    Cloud Software Group
    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.
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    Cloud Software Group
    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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    Cloud Software Group
    • We are not yet a success story. Though we've been implementing WebFOCUS for over a year, we have very few products in our Production portal. Of course, this is not all the responsibility of Information Builders, but we were ill-advised by our 'training coordinator' in our training of staff and coming up to speed with the tools has been very slow.
    • Once skilled analysts and professional IT staff achieve a grasp of the products, they are able to very quickly create polished and well-received products.
    • The DW/BI project has helped us to establish standards and protocols of communication that will allow us to more quickly meet knowledge transfer requirements
    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.