TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    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 GP

    Score5.4 out of 10
    N/AMicrosoft Dynamics GP is an ERP software with accounting capabilities. It includes various packs for customizability and features tailored to specific industries’ needs. GP is offered as a perpetual license or subscription.N/A
    Pricing
    Google BigQueryMicrosoft Dynamics GP
    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 BigQueryMicrosoft Dynamics GP
    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 BigQueryMicrosoft Dynamics GP
    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
    33%
    Would buy again
    2 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    83%
    Delivers good value for the price
    5 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    83%
    Happy with the feature set
    5 Answers
    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 BigQueryMicrosoft Dynamics GP
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Microsoft Dynamics GP
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Microsoft Dynamics GP
    -
    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 GP
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics GP
    6.4
    20 Ratings
    17% below category average
    Pay calculation00 Ratings6.219 Ratings
    Benefit plan administration00 Ratings5.815 Ratings
    Direct deposit files00 Ratings7.518 Ratings
    Salary revision and increment management00 Ratings6.517 Ratings
    Reimbursement management00 Ratings6.016 Ratings
    Customization
    Comparison of Customization features of Google BigQuery and Microsoft Dynamics GP
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics GP
    4.3
    27 Ratings
    55% below category average
    API for custom integration00 Ratings2.526 Ratings
    Plug-ins00 Ratings6.021 Ratings
    Security
    Comparison of Security features of Google BigQuery and Microsoft Dynamics GP
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics GP
    6.8
    40 Ratings
    18% below category average
    Single sign-on capability00 Ratings5.532 Ratings
    Role-based user permissions00 Ratings8.140 Ratings
    Reporting & Analytics
    Comparison of Reporting & Analytics features of Google BigQuery and Microsoft Dynamics GP
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics GP
    5.3
    41 Ratings
    38% below category average
    Dashboards00 Ratings3.429 Ratings
    Standard reports00 Ratings6.139 Ratings
    Custom reports00 Ratings6.439 Ratings
    General Ledger and Configurable Accounting
    Comparison of General Ledger and Configurable Accounting features of Google BigQuery and Microsoft Dynamics GP
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics GP
    5.0
    48 Ratings
    42% below category average
    Accounts payable00 Ratings6.345 Ratings
    Accounts receivable00 Ratings5.736 Ratings
    Cash management00 Ratings6.336 Ratings
    Bank reconciliation00 Ratings5.541 Ratings
    Expense management00 Ratings4.431 Ratings
    Time tracking00 Ratings8.014 Ratings
    Fixed asset management00 Ratings4.428 Ratings
    Multi-currency support00 Ratings2.619 Ratings
    Multi-division support00 Ratings3.026 Ratings
    Regulations compliance00 Ratings3.214 Ratings
    Electronic tax filing00 Ratings9.012 Ratings
    Self-service portal00 Ratings7.012 Ratings
    Global Financial Support00 Ratings6.07 Ratings
    Primary and Secondary Ledgers00 Ratings4.721 Ratings
    Intercompany Accounting00 Ratings3.618 Ratings
    Localizations00 Ratings4.513 Ratings
    Journals and Reconciliations00 Ratings4.526 Ratings
    Enterprise Accounting00 Ratings2.616 Ratings
    Configurable Accounting00 Ratings3.517 Ratings
    Centralized Rules Framework00 Ratings3.214 Ratings
    Standardized Processes00 Ratings6.119 Ratings
    Inventory Management
    Comparison of Inventory Management features of Google BigQuery and Microsoft Dynamics GP
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics GP
    4.2
    26 Ratings
    54% below category average
    Inventory tracking00 Ratings5.524 Ratings
    Automatic reordering00 Ratings1.013 Ratings
    Location management00 Ratings4.018 Ratings
    Manufacturing module00 Ratings3.415 Ratings
    Order Management
    Comparison of Order Management features of Google BigQuery and Microsoft Dynamics GP
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics GP
    3.5
    25 Ratings
    71% below category average
    Pricing00 Ratings3.718 Ratings
    Order entry00 Ratings3.721 Ratings
    Credit card processing00 Ratings1.012 Ratings
    Cost of goods sold00 Ratings4.925 Ratings
    Order Orchestration00 Ratings4.99 Ratings
    End-to-end order visibility00 Ratings3.312 Ratings
    Order exception Resolution00 Ratings3.37 Ratings
    Best Alternatives
    Google BigQueryMicrosoft Dynamics GP
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    QuickBooks Self-Employed (discontinued)
    Score4.2 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    MYOB
    Score8.3 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryMicrosoft Dynamics GP
    Likelihood to Recommend
    9.0
    (79 ratings)
    4.0
    (54 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    9.9
    (7 ratings)
    Usability
    6.6
    (6 ratings)
    5.4
    (10 ratings)
    Availability
    7.3
    (1 ratings)
    10.0
    (2 ratings)
    Performance
    6.4
    (1 ratings)
    7.0
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    7.0
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.2
    (3 ratings)
    Configurability
    6.4
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    CPA Rating
    -
    (0 ratings)
    9.0
    (1 ratings)
    Ease of integration
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    9.1
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Google BigQueryMicrosoft Dynamics GP
    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 GP is well-suited for our environment, as we pay a diverse group of employees, including on-the-road drivers, shop employees (some in other locations), and office employees. It easily tracks time off, taxes, pay, etc. The reporting allows us to verify with our drivers how they are paid each week, whether it be through mileage or stop-offs.
    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
    • Great Plains started as back office/accounting, and that is still it's strong suit.
    • SQL and the GP programming language, Dexterity, provide a robust, scalable, and stable platform with well documented maintenance and repair procedures. Relatively easy to manage, tune, and support.
    • Microsoft support for GP verges on "particularly well". Doesn't quite get there but good enough once you know what you're doing
    • Strong partner network, including the GP User Group (GPUG)
    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
    • With respect to the allocations, once the expense is entered into the allocation account, you lose the ability to run any detail on just the total of the expense. It would be nice if you could run a trial balance on the allocation accounts the same way you can with regular accounts.
    • I've always thought security set up could be a bit simpler. It actually has gotten better through the years. Specifically, with eight separate entities, it would be nice to have a "master" setup where you could call up one group entity, assign the users rights, and then be finished. Currently, whenever I have a new user, I have to call up each individual entity and select all of the features I want the user to have. That means I have to do eight steps for each user.
    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
    Due the economic challenges that Puerto Rico is having, the company has had to merge some companies in order to be more efficient. It has been easy in GP to process those merges, even thought we had to spend days to accomplish that the process was smooth and accurate. In addition we were able to streamline the purchasing and sales process and the organization is confident to keep renewing GP for the future versions.
    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
    Though it is a basic accounting package, I believe some users do not find the old style menus and navigation options intuitive. There is also a great lack of training resources in the market, so users have to learn the product without guidance a lot, resulting in inefficient workflows and misuse or misunderstanding of many features.
    Incentivized
    Read full review
    Reliability and Availability
    Google
    I have never had any significant issues with Google Big Query. It always seems to be up and running properly when I need it. I cannot recall any times where I received any kind of application errors or unplanned outages. If there were any they were resolved quickly by my IT team so I didn't notice them.
    Incentivized
    Read full review
    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
    The rating is directed to the thrid party serive provider that we use. I do not now how good the Microsoft direct support is.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Microsoft
    Basically the challenge with this implementation was the Business Portal, too many errors and even the aplication is up and running the users are still having issues. We will start planning the migraton to GP 2015 soon.
    Incentivized
    Read full review
    Alternatives Considered
    Google
    PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
    Incentivized
    Read full review
    Microsoft
    I come from a strong background of using SAP. SAP doesn't have the flexibility of GP, an example would be SAP doesn't allow core mods, if they catch you, you lose support. Microsoft doesn't really care about mods, but they will be quick to have the vendor you used support your issue if it is caused by those mods. With SAP your company adapts to the software, where with GP you adapt the software to you.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    Google
    None so far. Very satisfied with the transparency on contract terms and pricing model.
    Read full review
    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
    The functionality that GP and related ISV solutions offer and the ease of integration of GP to other systems makes it an extremely scalable solution
    Incentivized
    Read full review
    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
    Read full review
    Microsoft
    • Microsoft Dynamics GP allows my clients to move from a paper or spreadsheet based company to an integrated, electronic, streamlined business. I love being able to help clients gain efficiencies through the use of Microsoft Dynamics GP.
    • Microsoft Dynamics GP allows for better customer service because everything is at our fingertips. If someone calls questioning an invoice, we can easily look it up. If someone calls stating they paid an invoice with a certain check number, we can quickly run a query to find that particular check number to see where it was applied.
    • Having everything on a single platform provides ease of use for upgrades, backups and end user training. There is only one software to learn!
    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.