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Google BigQuery vs. SAP BusinessObjects Business Intelligence

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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)

    SAP BusinessObjects Business Intelligence

    Score7 out of 10
    N/AThe SAP® BusinessObjects™ Business Intelligence Platform provides users with ad hoc queries, reporting, data visualizations, and analysis tools. Its integrated, unified infrastructure aims to offer scalability from one-to-many tools and interfaces on-premise, in the cloud, or as a hybrid approach.N/A
    Pricing
    Google BigQuerySAP BusinessObjects Business Intelligence
    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 BigQuerySAP BusinessObjects Business Intelligence
    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 BigQuerySAP BusinessObjects Business Intelligence
    Considered Both Products
    Google
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    81%
    Would buy again
    13 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    86%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    81%
    Happy with the feature set
    13 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    90%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    85%
    Implementation went as expected
    11 Answers
    Features
    Google BigQuerySAP BusinessObjects Business Intelligence
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and SAP BusinessObjects Business Intelligence
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    SAP BusinessObjects Business Intelligence
    -
    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 SAP BusinessObjects Business Intelligence
    Feature
    Google BigQuery
    -
    Ratings
    SAP BusinessObjects Business Intelligence
    7.8
    56 Ratings
    5% below category average
    Pixel Perfect reports00 Ratings8.550 Ratings
    Customizable dashboards00 Ratings6.752 Ratings
    Report Formatting Templates00 Ratings8.251 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and SAP BusinessObjects Business Intelligence
    Feature
    Google BigQuery
    -
    Ratings
    SAP BusinessObjects Business Intelligence
    7.1
    53 Ratings
    12% below category average
    Drill-down analysis00 Ratings6.452 Ratings
    Formatting capabilities00 Ratings6.551 Ratings
    Integration with R or other statistical packages00 Ratings8.335 Ratings
    Report sharing and collaboration00 Ratings7.352 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google BigQuery and SAP BusinessObjects Business Intelligence
    Feature
    Google BigQuery
    -
    Ratings
    SAP BusinessObjects Business Intelligence
    7.8
    53 Ratings
    5% below category average
    Publish to Web00 Ratings8.344 Ratings
    Publish to PDF00 Ratings8.251 Ratings
    Report Versioning00 Ratings7.646 Ratings
    Report Delivery Scheduling00 Ratings8.052 Ratings
    Delivery to Remote Servers00 Ratings6.931 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and SAP BusinessObjects Business Intelligence
    Feature
    Google BigQuery
    -
    Ratings
    SAP BusinessObjects Business Intelligence
    6.0
    48 Ratings
    28% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings5.846 Ratings
    Location Analytics / Geographic Visualization00 Ratings6.143 Ratings
    Predictive Analytics00 Ratings6.042 Ratings
    Pattern Recognition and Data Mining00 Ratings6.16 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google BigQuery and SAP BusinessObjects Business Intelligence
    Feature
    Google BigQuery
    -
    Ratings
    SAP BusinessObjects Business Intelligence
    7.4
    53 Ratings
    14% below category average
    Multi-User Support (named login)00 Ratings7.953 Ratings
    Role-Based Security Model00 Ratings7.251 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.450 Ratings
    Report-Level Access Control00 Ratings7.27 Ratings
    Single Sign-On (SSO)00 Ratings7.234 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google BigQuery and SAP BusinessObjects Business Intelligence
    Feature
    Google BigQuery
    -
    Ratings
    SAP BusinessObjects Business Intelligence
    6.3
    38 Ratings
    20% below category average
    Responsive Design for Web Access00 Ratings5.637 Ratings
    Mobile Application00 Ratings5.332 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings5.534 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google BigQuery and SAP BusinessObjects Business Intelligence
    Feature
    Google BigQuery
    -
    Ratings
    SAP BusinessObjects Business Intelligence
    7.9
    28 Ratings
    2% above category average
    REST API00 Ratings8.124 Ratings
    Javascript API00 Ratings7.723 Ratings
    iFrames00 Ratings8.221 Ratings
    Java API00 Ratings7.526 Ratings
    Themeable User Interface (UI)00 Ratings7.624 Ratings
    Customizable Platform (Open Source)00 Ratings8.622 Ratings
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    Score4 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
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    Score8.1 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
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    Score7 out of 10
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    User Ratings
    Google BigQuerySAP BusinessObjects Business Intelligence
    Likelihood to Recommend
    9.0
    (79 ratings)
    7.1
    (78 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    8.3
    (24 ratings)
    Usability
    6.6
    (6 ratings)
    6.6
    (21 ratings)
    Availability
    7.3
    (1 ratings)
    10.0
    (5 ratings)
    Performance
    6.4
    (1 ratings)
    9.0
    (10 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.6
    (16 ratings)
    In-Person Training
    -
    (0 ratings)
    10.0
    (4 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.0
    (8 ratings)
    Configurability
    6.4
    (1 ratings)
    9.0
    (2 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.2
    (45 ratings)
    Data Sources
    -
    (0 ratings)
    8.3
    (45 ratings)
    Ease of integration
    7.3
    (1 ratings)
    9.0
    (1 ratings)
    Product Scalability
    7.3
    (1 ratings)
    9.0
    (2 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    Google BigQuerySAP BusinessObjects Business Intelligence
    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
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    SAP
    As mentioned earlier reporting was a big headache for us and the tools we used didn't support large data sets and visualization Performing analytics with such data sets was cumbersome and later post using this SAP BusinessObjects Business Intelligence we were able to correlate different data sets and prepare the dashboard pretty easier which were helpful and easier to understand.
    Incentivized
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    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
    SAP
    • This software is easy to initially learn, and very powerful in producing reusable reports.
    • It is much faster than my company's internal manual queries. The ability to build off of a saved query and share queries to other users is a great positive.
    • My favorite part is that you can run queries in the background and it does not interfere with your current work or slow your computer down.
    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
    SAP
    • The installation can be very complex and time-consuming, it requires a lot of planning and foresight as to what role the software will play in the organization.
    • The software has a relatively large learning curve that takes dedicated users months to get comfortable with, the UI is a bit intimidating for new users.
    • SAP could organize their help better, it can be difficult to find dependable solutions to issues via their website and support channels.
    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
    SAP
    The institution has decided to move in a different direction, and will be using MSBI for reporting. I have been very happy with the Business Objects suite of tools, and will continue to use them heavily until we make the transition.
    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
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    SAP
    From a server and client side perspective. the Business Intelligence Platform provides a foundation for all aspects of content development, distribution, analysis, collaboration and self service. Ease of use from targeted content delivery through controlled accessibility. Content exporting in the format of the users choice. Scheduling for internal or external delivery. Public and private folders for secure content access when requied. Web based for viewing on the users device of choice without the need to download additional applications.
    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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    SAP
    When we implemented 3.1, we had a tough time managing the system: It took almost a year to stabilize.

    With 4.0, we want to roll out to more users, and are holding back because of fears about the performance issue
    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
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    SAP
    Overall, the tool (Web Intelligence 4.2) is fast and solid. One issue is a dependability on JAVA for a full feature report creation/edit capabilities (as opposed to limited HTML option). Second, planned end of JAVA support by major browsers (Chrome is already not supporting JAVA applet).
    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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    SAP
    SAP has released various versions of SAP BO BI. starting from 3.1 and going to 4.0,4.1,4.2 and latest being 4.3. SAP provides support to these new versions. As new versions keep on coming, support for the very old software goes out of scope from SAP. it is when the different organization plans to get their BO content migrated from a lower version to a newer version. The newer version had definitely added functionality and features which ease the work of users.
    Incentivized
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    In-Person Training
    Google
    No answers on this topic
    SAP
    SAP authorized training is best, Please go ahead with it. Even lot of online training options/videos available for self learning
    Incentivized
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    Online Training
    Google
    No answers on this topic
    SAP
    I haven't used it or got feedback from the end user.

    Content looks to be pretty detailed. Focused on SQL but not BW.
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    SAP
    Hire specialists and experienced staff. Mix some beginners so that everyone is not a leader but a learner too. Plan well; architect well; break down implementation in small steps and move towards larger steps. Create a centralized and authorized SAP Business Objects implementation team.
    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
    Read full review
    SAP
    We selected SAP BusinessObjects Business Intelligence (BI) based on price. It can stack up against others in terms of price and honestly, that's about it. Salesforce Commerce does a hell of a better job at handling it. However, in the space of Business Intelligence, SAP can do more, and that's why at the end we went with it
    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
    SAP
    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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    SAP
    SAP BusinessObjects Business Intelligence (BI) Platform supports SOA Service Oriented Architecture. You can start/restart/enable/disable all the servers. You can seamless do load balancing and clustering. It supports all leading application and web server. Supports LDAP SSO integration. People who can work on excel with training they can work on SAP Business Objects Web Intelligence, dashboard, Lumira, Information design tool product suite. Tool is very user friendly and easy to learn and implement
    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
    SAP
    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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    SAP
    • By generating and distributing reports in a timely manner, we were able to save millions of dollars for the company which otherwise would not have been visible.
    • Almost realtime dashboard, saved the company a huge amount by showing the outages and kept the company from buying a tool to do just that.
    • It showed the customers who were not paying the bills and were missing in the system due to some loophole. This was visible by doing reporting on the theft usage of electricity.
    Incentivized
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    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.