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Google BigQuery vs. Microsoft Dynamics 365 Business Central

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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)

    Microsoft Dynamics 365 Business Central

    Score8 out of 10
    N/AMicrosoft Dynamics 365 Business Central (formerly Dynamics NAV) is one of the ERP products in the Dynamics family. The technology is based on the Navision product acquired by Microsoft in 2002. This product is the best-selling Microsoft ERP platform, and is often used by companies in the manufacturing and distribution verticals.

    $8

    per month per user

    Pricing
    Google BigQueryMicrosoft Dynamics 365 Business Central
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Dynamics 365 Business Central Team Members
    $8
    per month (billed annually) per user
    Dynamics 365 Business Central Essentials
    $70
    per month (billed annually) per user
    Dynamics 365 Business Central Premium
    $100
    per month (billed annually) per user
    Offerings
    Pricing Offerings
    Google BigQueryMicrosoft Dynamics 365 Business Central
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google BigQueryMicrosoft Dynamics 365 Business Central
    Considered Both Products
    Google
    No answer on this topic
    Microsoft
    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
    92%
    Happy with the feature set
    11 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    89%
    Lived up to sales and marketing promises
    8 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    82%
    Implementation went as expected
    9 Answers
    Features
    Google BigQueryMicrosoft Dynamics 365 Business Central
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Microsoft Dynamics 365 Business Central
    -
    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 Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    6.6
    11 Ratings
    13% below category average
    Pay calculation00 Ratings6.211 Ratings
    Benefit plan administration00 Ratings6.39 Ratings
    Direct deposit files00 Ratings6.610 Ratings
    Customization
    Comparison of Customization features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.0
    25 Ratings
    6% above category average
    API for custom integration00 Ratings8.124 Ratings
    Plug-ins00 Ratings7.922 Ratings
    Security
    Comparison of Security features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.4
    29 Ratings
    0% above category average
    Single sign-on capability00 Ratings8.525 Ratings
    Role-based user permissions00 Ratings8.328 Ratings
    Reporting & Analytics
    Comparison of Reporting & Analytics features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.4
    30 Ratings
    11% above category average
    Dashboards00 Ratings8.326 Ratings
    Standard reports00 Ratings8.430 Ratings
    Custom reports00 Ratings8.629 Ratings
    General Ledger and Configurable Accounting
    Comparison of General Ledger and Configurable Accounting features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.4
    30 Ratings
    8% above category average
    Accounts payable00 Ratings8.429 Ratings
    Accounts receivable00 Ratings8.328 Ratings
    Global Financial Support00 Ratings8.517 Ratings
    Primary and Secondary Ledgers00 Ratings8.416 Ratings
    Journals and Reconciliations00 Ratings8.919 Ratings
    Configurable Accounting00 Ratings7.219 Ratings
    Standardized Processes00 Ratings8.720 Ratings
    Inventory Management
    Comparison of Inventory Management features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.6
    26 Ratings
    8% above category average
    Inventory tracking00 Ratings8.526 Ratings
    Automatic reordering00 Ratings7.618 Ratings
    Location management00 Ratings8.222 Ratings
    Order Management
    Comparison of Order Management features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.0
    28 Ratings
    1% above category average
    Pricing00 Ratings8.225 Ratings
    Order entry00 Ratings8.925 Ratings
    Credit card processing00 Ratings7.417 Ratings
    Cost of goods sold00 Ratings8.422 Ratings
    Order Orchestration00 Ratings8.313 Ratings
    Subledger and Financial Process
    Comparison of Subledger and Financial Process features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.2
    20 Ratings
    8% above category average
    Billing Management00 Ratings8.518 Ratings
    Cash and Asset Management00 Ratings8.619 Ratings
    Travel & Expense Management00 Ratings7.614 Ratings
    Budgetary Control & Encumbrance Accounting00 Ratings8.216 Ratings
    Period Close00 Ratings8.219 Ratings
    Project Financial Management
    Comparison of Project Financial Management features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.7
    8 Ratings
    14% above category average
    Budgeting and Forecasting00 Ratings10.08 Ratings
    Project Costing00 Ratings10.07 Ratings
    Cost Capture00 Ratings10.08 Ratings
    Capital Project Management00 Ratings8.05 Ratings
    Customer Contract Compliance00 Ratings10.06 Ratings
    Project Revenue Recognition00 Ratings8.04 Ratings
    Project Execution Management
    Comparison of Project Execution Management features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    7.6
    11 Ratings
    8% above category average
    Project Planning and Scheduling00 Ratings7.510 Ratings
    Task Insight for Project Managers00 Ratings7.110 Ratings
    Project Mobile Functionality00 Ratings7.19 Ratings
    Definable Resource Pools00 Ratings6.910 Ratings
    Grants Management
    Comparison of Grants Management features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.9
    8 Ratings
    18% above category average
    Award Lifecycle Management00 Ratings6.78 Ratings
    Procurement
    Comparison of Procurement features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    7.9
    16 Ratings
    10% above category average
    Bids Analyzed and Compared00 Ratings7.410 Ratings
    Contract Authoring00 Ratings7.210 Ratings
    Contract Repository00 Ratings7.510 Ratings
    Requisitions-to-Purchase Orders Integrated00 Ratings8.114 Ratings
    Supplier Management00 Ratings7.613 Ratings
    Risk Management
    Comparison of Risk Management features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.3
    12 Ratings
    21% above category average
    Risk Repository00 Ratings7.211 Ratings
    Control Management00 Ratings7.411 Ratings
    Control Efficiency Assessments00 Ratings6.711 Ratings
    Issue Detection00 Ratings7.511 Ratings
    Remediation and Certification00 Ratings7.69 Ratings
    Logistics
    Comparison of Logistics features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    7.7
    10 Ratings
    9% above category average
    Transportation Planning and Optimization00 Ratings7.88 Ratings
    Transportation Execution Management00 Ratings7.48 Ratings
    Trade and Customs Management00 Ratings7.98 Ratings
    Fulfillment Management00 Ratings7.410 Ratings
    Warehouse Workforce Management00 Ratings9.27 Ratings
    Manufacturing
    Comparison of Manufacturing features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.0
    10 Ratings
    7% above category average
    Production Process Design00 Ratings9.27 Ratings
    Production Management00 Ratings8.88 Ratings
    Configuration Management00 Ratings7.17 Ratings
    Work Execution00 Ratings9.27 Ratings
    Manufacturing Costs00 Ratings7.310 Ratings
    Supply Chain
    Comparison of Supply Chain features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    7.4
    12 Ratings
    1% above category average
    Forecasting00 Ratings6.412 Ratings
    Inventory Planning00 Ratings7.212 Ratings
    Performance Monitoring00 Ratings7.012 Ratings
    Product Lifecycle Management
    Comparison of Product Lifecycle Management features of Google BigQuery and Microsoft Dynamics 365 Business Central
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365 Business Central
    8.8
    9 Ratings
    18% above category average
    Proposal Management00 Ratings7.18 Ratings
    Product Master Data Management00 Ratings7.78 Ratings
    Best Alternatives
    Google BigQueryMicrosoft Dynamics 365 Business Central
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Zoho One
    Score9.1 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Zoho One
    Score9.1 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 BigQueryMicrosoft Dynamics 365 Business Central
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.6
    (31 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    10.0
    (1 ratings)
    Usability
    6.6
    (6 ratings)
    8.8
    (11 ratings)
    Availability
    7.3
    (1 ratings)
    8.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    10.0
    (2 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)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Google BigQueryMicrosoft Dynamics 365 Business Central
    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
    Microsoft
    Microsoft Dynamics 365 Business Central is well suited for inventory management in all aspects. Its accessibility, along with my other apps, when out of the office is unparalleled. I find it easy to work with on a desktop or laptop; however, it could use some work on a mobile device.
    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
    Microsoft
    • Automate the creation of bills of materials for production. We can now generate a BoM from a sales order.
    • Organization of all data pertaining to thousands of parts, assemblies, and finished goods. Engineering and purchasing have a common portal.
    • We can create sales orders from quotations instead of re-entering them (this did require some bolt-on software). Less redundant work with fewer entry errors.
    • Accounting can provide reports based on specific criteria stored in NAV. We can pull better and more detailed intelligence.
    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
    Microsoft
    • Some functions could be a bit more user friendly, intuitive.
    • Better migration from previous ERP software (especially other Microsoft products). "Growing pains" associated with change?! Maybe.
    • A few redundancies and procedural missteps on menus and tabs can make the portal a bit crowded.
    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
    Microsoft
    We've already decided to continue using this software. It is too expensive for us to upgrade so we made a workaround by using the virtual computer with Windows XP installed on it. We did research replacing this software, but it was a better financial decision to keep what we had instead
    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
    Microsoft
    Ever since we deployed it, it has been a one-stop-shop for our organization. Everything we do has been through it, and we do not need to use other vendors to access student records, accounts receivable, procurement records, grades, transcripts, and report cards... they are all in one interface, which has been a solid plus for our organization.
    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
    Read full review
    Microsoft
    No answers on this topic
    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
    Microsoft
    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
    Read full review
    Microsoft
    It provides one to efficiently be able to manage bookkeeping and inventory without much challenges. One can easily navigate through workflow processes while managing usages and budgets. Being able to produce reports in Word, Excel or PDF means one is able to have a working document to produce trends and graphs or produce pivot tables.
    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
    Microsoft
    I have personally supported all of the Dynamic family of ERP systems and made the decision to concentrate on NAV as the solution of choice. From a support and development standpoint there are few if any packages that can compare. It is not uncommon for most of the companies that I support to only call me once or twice a month after the first year. This is due to the ease of tracking down problems and errors and the ability for a developer to provide the end-user with routines that automatically correct the most basic kind of error
    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
    Microsoft
    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
    Read full review
    Microsoft
    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
    Microsoft
    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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    Microsoft
    • Automation processing, including EDI functionality, has increased employee efficiency and prevented the need for adding additional employees.
    • Implementation of the warehouse functionality, including cycle counts, has resulted in better inventory control/less shrinkage.
    • Implementation of e-Ship and e-Receive, has resulted in greater efficiency and order accuracy.
    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.