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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 Business One

    Score8.5 out of 10
    N/ASAP Business One is an integrated enterprise resource planning (ERP) solution for small and medium-sized businesses, The product encompasses functionality around sales, customer relationships, inventory, operations, financials and human resources.

    $99

    per month

    Pricing
    Google BigQuerySAP Business One
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Limited
    $99.00
    per month
    Starter
    $110.00
    per month
    Pro
    $132.00
    per month
    Offerings
    Pricing Offerings
    Google BigQuerySAP Business One
    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 Business One
    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
    92%
    Would buy again
    11 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    91%
    Delivers good value for the price
    10 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    100%
    Happy with the feature set
    12 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
    80%
    Implementation went as expected
    8 Answers
    Features
    Google BigQuerySAP Business One
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    SAP Business One
    -
    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
    Payroll Management
    Comparison of Payroll Management features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    9.9
    12 Ratings
    27% above category average
    Pay calculation00 Ratings10.011 Ratings
    Benefit plan administration00 Ratings10.09 Ratings
    Direct deposit files00 Ratings9.510 Ratings
    Customization
    Comparison of Customization features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    9.9
    40 Ratings
    27% above category average
    API for custom integration00 Ratings9.738 Ratings
    Plug-ins00 Ratings10.037 Ratings
    Security
    Comparison of Security features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    9.9
    44 Ratings
    16% above category average
    Single sign-on capability00 Ratings9.736 Ratings
    Role-based user permissions00 Ratings10.043 Ratings
    Reporting & Analytics
    Comparison of Reporting & Analytics features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    9.0
    45 Ratings
    18% above category average
    Dashboards00 Ratings8.940 Ratings
    Standard reports00 Ratings9.345 Ratings
    Custom reports00 Ratings8.941 Ratings
    General Ledger and Configurable Accounting
    Comparison of General Ledger and Configurable Accounting features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    5.9
    46 Ratings
    27% below category average
    Accounts payable00 Ratings9.746 Ratings
    Accounts receivable00 Ratings10.045 Ratings
    Global Financial Support00 Ratings9.928 Ratings
    Primary and Secondary Ledgers00 Ratings8.831 Ratings
    Journals and Reconciliations00 Ratings9.638 Ratings
    Configurable Accounting00 Ratings9.436 Ratings
    Standardized Processes00 Ratings9.641 Ratings
    Inventory Management
    Comparison of Inventory Management features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    9.4
    45 Ratings
    16% above category average
    Inventory tracking00 Ratings9.745 Ratings
    Automatic reordering00 Ratings9.931 Ratings
    Location management00 Ratings10.041 Ratings
    Order Management
    Comparison of Order Management features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    8.1
    43 Ratings
    2% above category average
    Pricing00 Ratings9.941 Ratings
    Order entry00 Ratings9.943 Ratings
    Credit card processing00 Ratings9.724 Ratings
    Cost of goods sold00 Ratings9.742 Ratings
    Order Orchestration00 Ratings10.033 Ratings
    Subledger and Financial Process
    Comparison of Subledger and Financial Process features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    7.4
    39 Ratings
    2% below category average
    Billing Management00 Ratings9.734 Ratings
    Cash and Asset Management00 Ratings10.030 Ratings
    Travel & Expense Management00 Ratings9.823 Ratings
    Budgetary Control & Encumbrance Accounting00 Ratings9.928 Ratings
    Period Close00 Ratings9.535 Ratings
    Project Financial Management
    Comparison of Project Financial Management features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    7.0
    19 Ratings
    8% below category average
    Budgeting and Forecasting00 Ratings7.017 Ratings
    Project Costing00 Ratings7.016 Ratings
    Cost Capture00 Ratings7.016 Ratings
    Capital Project Management00 Ratings7.011 Ratings
    Customer Contract Compliance00 Ratings7.014 Ratings
    Project Revenue Recognition00 Ratings6.116 Ratings
    Project Execution Management
    Comparison of Project Execution Management features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    9.1
    17 Ratings
    25% above category average
    Project Planning and Scheduling00 Ratings9.916 Ratings
    Task Insight for Project Managers00 Ratings9.913 Ratings
    Project Mobile Functionality00 Ratings9.612 Ratings
    Definable Resource Pools00 Ratings9.810 Ratings
    Grants Management
    Comparison of Grants Management features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    8.4
    16 Ratings
    11% above category average
    Award Lifecycle Management00 Ratings10.010 Ratings
    Procurement
    Comparison of Procurement features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    8.5
    19 Ratings
    18% above category average
    Bids Analyzed and Compared00 Ratings9.912 Ratings
    Contract Authoring00 Ratings10.013 Ratings
    Contract Repository00 Ratings9.211 Ratings
    Requisitions-to-Purchase Orders Integrated00 Ratings9.615 Ratings
    Supplier Management00 Ratings9.614 Ratings
    Risk Management
    Comparison of Risk Management features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    8.6
    11 Ratings
    24% above category average
    Risk Repository00 Ratings9.59 Ratings
    Control Management00 Ratings9.110 Ratings
    Control Efficiency Assessments00 Ratings9.19 Ratings
    Issue Detection00 Ratings9.110 Ratings
    Remediation and Certification00 Ratings10.07 Ratings
    Logistics
    Comparison of Logistics features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    8.1
    25 Ratings
    15% above category average
    Transportation Planning and Optimization00 Ratings9.917 Ratings
    Transportation Execution Management00 Ratings9.515 Ratings
    Trade and Customs Management00 Ratings9.615 Ratings
    Fulfillment Management00 Ratings9.718 Ratings
    Warehouse Workforce Management00 Ratings9.816 Ratings
    Manufacturing
    Comparison of Manufacturing features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    9.2
    21 Ratings
    21% above category average
    Production Process Design00 Ratings9.719 Ratings
    Production Management00 Ratings10.019 Ratings
    Configuration Management00 Ratings9.715 Ratings
    Work Execution00 Ratings9.817 Ratings
    Manufacturing Costs00 Ratings9.817 Ratings
    Supply Chain
    Comparison of Supply Chain features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    8.0
    27 Ratings
    9% above category average
    Forecasting00 Ratings8.625 Ratings
    Inventory Planning00 Ratings8.227 Ratings
    Performance Monitoring00 Ratings8.121 Ratings
    Product Lifecycle Management
    Comparison of Product Lifecycle Management features of Google BigQuery and SAP Business One
    Feature
    Google BigQuery
    -
    Ratings
    SAP Business One
    9.6
    19 Ratings
    26% above category average
    Proposal Management00 Ratings8.115 Ratings
    Product Master Data Management00 Ratings9.317 Ratings
    Best Alternatives
    Google BigQuerySAP Business One
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Zoho One
    Score9.2 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Zoho One
    Score9.2 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Microsoft Dynamics AX (discontinued)
    Score4.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySAP Business One
    Likelihood to Recommend
    9.0
    (79 ratings)
    9.0
    (51 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    4.6
    (9 ratings)
    Usability
    6.6
    (6 ratings)
    9.1
    (15 ratings)
    Availability
    7.3
    (1 ratings)
    9.0
    (3 ratings)
    Performance
    6.4
    (1 ratings)
    8.0
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    9.0
    (11 ratings)
    In-Person Training
    -
    (0 ratings)
    7.7
    (2 ratings)
    Online Training
    -
    (0 ratings)
    4.5
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    2.8
    (24 ratings)
    Configurability
    6.4
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 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)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Google BigQuerySAP Business One
    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
    SAP
    SAP Business One would be more useful if it contained tools to acommodate the growing need of online sales. A more complete shipping module which handles tracking numbers with the common couriers would be great. A built in warehouse management system would be great designed to be used with barcode scanners
    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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    SAP
    • SAP Business One is more suitable for small and medium scale enterprises
    • SAP Business One is : analytics, mobile technologies, cloud technologies
    • SAP Business One has exceptional performance in handling business functions such as purchasing and operations and customer relationship management
    • An important key features of SAP Business One is Reporting and Analytics.
    Incentivized
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    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
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    SAP
    • Following a bench mark process - this seems contradicting to flexibility however we have wished we could follow more of an industry benchmark. Our challenge as a small company has been knowing how to properly use the system. We have discovered that we have set up the system wrong based and are using it improperly which has cause a lot work to correct.
    • Better live reporting options - current we are on prem SQL. Yes SAP is moving to HANA however smaller companies like ourselves are not ready for that. We need to be able to maintain our existing SQL DB. We also have a demand for live BI Reporting. It has been difficult to do this with our current set up.
    • Error handling - have found it very difficult to troubleshoot. Errors are not always clear and answers are hard to find.
    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
    As I said before, it is a first level tool, well developed, and with very strong development support, although the learning curve, its implementation, the cost-benefit ratio, the price and the user experience is not the most suitable for small and medium-sized companies. It is a company with extensive experience, market positioning, technical support and expanded use
    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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    SAP
    I would like to give 8 out of 10 rating for SAP Business One because SAP Business One is a good choice for the mostly used business management solutions for the small and medium-sized companies. SAP Business One can help in optimizing the existing business process and enables streamline business processes for the daily activities for all users across the entire organization. The importance realization of SAP Business One implementation is based on the selection of the good reputation partner and its approach for the entire implementation. SAP Business One is a user-friendly and easy to use Enterprise system that the organization can benefit its features and functionalities by utilizing it.
    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
    The SAP Business One software is up and running every time
    you need it as it was planned. In more than 6 years that we have been
    using the product, it has never been unavailable and if it ever was, it was because of a planned maintenance window scheduled in the company.
    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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    SAP
    SAP Business One performance depends mostly on the speed of your internal servers, should you have the solution on premise as we do. Sometimes the system tends to be a little slower for some users when others are executing really big reports of performing some batch loads, but generally, the performance is acceptable to all the users.
    Incentivized
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    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
    I rate my experience with SAP Business One's support team as excellent (10). They are easy to contact and effortless to work with on any issue or concern. I like the support SAP provides for any of their products. SAP has a great backing and I would recommend them to any of my colleagues.
    Incentivized
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    In-Person Training
    Google
    No answers on this topic
    SAP
    The training I get was a consultant level training, so it's basically a 6 weeks training covering every aspect and every module of the system. It covered most common use cases and exercise training so you can get along with the software, as well as examples so there culd be a better understanding.
    Incentivized
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    Online Training
    Google
    No answers on this topic
    SAP
    Over the past two years SAP has added a great deal of new SAP Business One on-line training for version 9.0 and 9.1. Most of the training is very strong, but some is difficult to understand and follow. Additionally, SAP still has a few holes in their on-line training around Production, Bill-of-Materials, MRP and Service.
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    SAP
    These implementations are not easy. Even a standard implementation can be difficult. With a never-been-done-before implementation, the implementation team and the user team need to be thorough with planning, make a decision on key points, and stick to them before any design happens. Our biggest challenge was not from StellarOne, rather it was from the mid-implementation decisions from our internal team. StellarOne did a great job warning us, implementing our decision, and then helping us adjust our SAP to handle the new direction we took.
    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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    SAP
    SAP provides the most robust solution, with modules available for all department managers and even options for customization according to the company's special needs. We especially used the Crystal reports options to provide reports for each module. Overall, even if it's not the least expensive option, it has the best value for money.
    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
    For most small businesses, the only way you outgrow SAP Business One is if the nature of your business changes radically. Going from 1 to 50 users is quite easy with SAP B1. Going beyond 50 may require moving to the Hana SAP B1 platform to maintain or improve performance, but the path is there.
    Add-ons to SAP B1 can also be added as specific needs are encountered that are not closely met by the standard product. These may be required early in the product life because of the nature of your business, or as you expand the use of SAP B1.
    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.
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    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
    • Employee efficiency has definitely increased with SAP Business One. This is attributed in a lot of ways to information visibility. Our employees are able to gather the data they need, quickly, and effectively.
    • Identifying inconsistencies in pricing has also been accomplished through use of reporting off individual tables. Previously, we weren't able to access our data in such a way as to enable us to write custom reports in-house.
    • We have also benefited greatly from having a single source of all business information. We utilize SAP Business One exclusively in-house. All documentation is attached to specific orders and Business Partners, as well as serialized equipment that has been sold.
    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.