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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

    Score8 out of 10
    N/AMicrosoft Dynamics 365 is a CRM providing sales, marketing, and service functionality. It is offered as SaaS and on-premise. Dynamics 365 is part of the larger Dynamics suite of business intelligence and ERP products.

    $44

    per month

    Pricing
    Google BigQueryMicrosoft Dynamics 365
    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 365
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google BigQueryMicrosoft Dynamics 365
    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
    88%
    Would buy again
    23 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    87%
    Delivers good value for the price
    20 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    88%
    Happy with the feature set
    23 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    86%
    Lived up to sales and marketing promises
    12 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    82%
    Implementation went as expected
    18 Answers
    Features
    Google BigQueryMicrosoft Dynamics 365
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Microsoft Dynamics 365
    -
    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
    Sales Force Automation
    Comparison of Sales Force Automation features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    7.7
    84 Ratings
    2% below category average
    Customer data management / contact management00 Ratings7.981 Ratings
    Workflow management00 Ratings7.980 Ratings
    Territory management00 Ratings7.160 Ratings
    Opportunity management00 Ratings7.672 Ratings
    Integration with email client (e.g., Outlook or Gmail)00 Ratings7.879 Ratings
    Contract management00 Ratings7.961 Ratings
    Quote & order management00 Ratings7.258 Ratings
    Interaction tracking00 Ratings8.171 Ratings
    Channel / partner relationship management00 Ratings7.362 Ratings
    Customer Service & Support
    Comparison of Customer Service & Support features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    8.0
    68 Ratings
    4% above category average
    Case management00 Ratings7.863 Ratings
    Call center management00 Ratings7.950 Ratings
    Help desk management00 Ratings8.557 Ratings
    Marketing Automation
    Comparison of Marketing Automation features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    7.9
    78 Ratings
    2% above category average
    Lead management00 Ratings7.672 Ratings
    Email marketing00 Ratings8.171 Ratings
    CRM Project Management
    Comparison of CRM Project Management features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    8.0
    76 Ratings
    4% above category average
    Task management00 Ratings8.171 Ratings
    Billing and invoicing management00 Ratings8.054 Ratings
    Reporting00 Ratings8.065 Ratings
    CRM Reporting & Analytics
    Comparison of CRM Reporting & Analytics features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    7.6
    77 Ratings
    1% below category average
    Forecasting00 Ratings7.667 Ratings
    Pipeline visualization00 Ratings7.873 Ratings
    Customizable reports00 Ratings7.476 Ratings
    Customization
    Comparison of Customization features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    7.7
    80 Ratings
    1% above category average
    Custom fields00 Ratings7.678 Ratings
    Custom objects00 Ratings7.572 Ratings
    Scripting environment00 Ratings7.956 Ratings
    API for custom integration00 Ratings7.861 Ratings
    Security
    Comparison of Security features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    8.8
    75 Ratings
    5% above category average
    Single sign-on capability00 Ratings8.869 Ratings
    Role-based user permissions00 Ratings8.770 Ratings
    Social CRM
    Comparison of Social CRM features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    7.7
    44 Ratings
    2% above category average
    Social data00 Ratings7.843 Ratings
    Social engagement00 Ratings7.643 Ratings
    Integrations with 3rd-party Software
    Comparison of Integrations with 3rd-party Software features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    7.2
    65 Ratings
    5% below category average
    Marketing automation00 Ratings7.665 Ratings
    Compensation management00 Ratings6.834 Ratings
    Platform
    Comparison of Platform features of Google BigQuery and Microsoft Dynamics 365
    Feature
    Google BigQuery
    -
    Ratings
    Microsoft Dynamics 365
    6.8
    56 Ratings
    11% below category average
    Mobile access00 Ratings6.856 Ratings
    Best Alternatives
    Google BigQueryMicrosoft Dynamics 365
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Salesflare
    Score10 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Kintone
    Score9.7 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Oracle Sales
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryMicrosoft Dynamics 365
    Likelihood to Recommend
    9.0
    (79 ratings)
    7.9
    (104 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    8.0
    (20 ratings)
    Usability
    6.6
    (6 ratings)
    7.8
    (34 ratings)
    Availability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.0
    (11 ratings)
    Online Training
    -
    (0 ratings)
    7.5
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.2
    (4 ratings)
    Configurability
    6.4
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    3.8
    (3 ratings)
    Ease of integration
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    8.2
    (2 ratings)
    9.0
    (1 ratings)
    User Testimonials
    Google BigQueryMicrosoft Dynamics 365
    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
    Provides our company access to manage and customize the folds tailored to our needs. We needed to have certain paragraphs on certain paperwork per customer. MD 365 has those options to customize where needed and remove when not. The system is easy to navigate, and training can be done in a matter of days, even without prior knowledge of the system or similar systems.
    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
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    Microsoft
    • Best to use for AP - like in our organization, there are plenty of AP bills, so with Dynamics, we can quickly enter the same into the Excel utility, which means CSV-based upload, and then we can easily upload the same to the software. It's a time saver.
    • Best for Bank reconciliation - MS Dynamics makes Bank reconciliation easy. Banks can easily sync with software and easily get reconciled.
    • Generating invoices to customers and directly sending them to their inbox is easy with this software.
    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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    Microsoft
    • Small learning curve, obviously. You won't figure this out in a day, a week, or even a month. But given time, you can learn to be an expert. Or you can always get a consultant or hire in somebody. But learning the tool isn't out of the questions by any means.
    • Licensing can be confusing at times and isn't cheap, but it is cheaper than Salesforce. Plus no additional fees for data calls to better integrate your D365 CE data with other systems.
    • The Classic user interface left a bit to be desired, but now with the much-improved Unified Interface, the web client and the mobile client look the same, much more modern, and have more flexibility and power behind them for customizers as well.
    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
    CRM has allowed us to keep all of our data in one place that is easy for all users within the company to view. I came into the company after they had been using CRM for about 4 years. They have all said that since we have used this it has helped us control work processes better, it has allowed us to be able to track things so much better, and has been something that has helped unite many processes that used to be all over the place. We are currently using CRM 4.0 and are planning on upgrading in the next 18 months to the 2011 version. Support for 4.0 is almost all but dried up. Understandably so. Some of the customization we have done, and a plugins we use, are now contained within the 2011 version so we are looking forward to that upgrade. We use an email marketing company as well, and they primarily support the 2011 version, but their product connects and is integrated within CRM. This is a great benefit as well so that all of our marketing information can be contained in one location.
    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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    Microsoft
    The usability is easily adopted for users familiar with other Microsoft products. Dynamics 365 has several interfaces that cross over browsers and tablets. These multiple interfaces will be phased out and updated to a single unified interface eventually to provide the same usability across all devices. The backend configurations is slowly improving with the introduction of PowerApps compared to pre-D365 Online versions
    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
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    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
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    Microsoft
    Our partner, Ledgeview Partners has been FANTASTIC to work with. They are always timely in their response and have taken time to understand our business and our specific needs. We've made a lot of advanced customizations and they have been a great help in making those updates.
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    Microsoft
    We used a data warehouse to house our data, and our IT team and implementation vendor worked diligently ahead of time to construct idea implementation plans. Out of millions of records- we had less than a dozen errors, which is remarkable. My major insight is simply having a group of completely devoted individuals working towards your goal who fully understand the desired outcome. Focused resources for implementation season are critical to success.
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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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    Microsoft
    Microsoft Dynamics was part of a system overhaul for a local school, and we looked at many products. If we had used it for a company with low turnover, then it might have been more feasible. They needed something a new person could learn quickly, someone who might also be learning marketing terms at the same time - especially if there is nobody to train the individual now expected to know the system. Similar issues occurred with all of these programs (we called it being too big for their britches), and one of the bigger things we liked was that it is more compatible with MS Office products in both technical and visual appeal. If you have a steady employees who use a CRM consistently, low turnover, and those who are very familiar with Office products, Dynamics would be the smartest option for you. Unfortunately, this was just not true for the school environment
    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
    On our purchase, I'd been interrogated about our usage. Our needs are met by Microsoft Dynamics 365, which is simple to use. With so much data and information available, we must ensure that it is presented correctly to managers. Due to a lack of use, we don't have to spend as much money on Salesforce.
    Read full review
    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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    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.
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    Microsoft
    My company's preferred program right now is Microsoft Dynamics 365. We use it to keep track of customers and important sales metrics in a streamlined manner. Anyone familiar with CRMs will find the tool extremely useful. Considering that we have a good turnover, this product will be used for its basic segments. As a result, there are few chances of error with Microsoft dynamics because it is so easy to use. Many options for recording data on these leads are available. It meets our needs and pays off.
    Read full review
    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
    • For those without a centralized, all in one solution for major HR, Finance and other departments, Microsoft Dynamics 365 has vastly improved employee time utilization and profit.
    • Migrating clients from on-premise to the cloud has reaped benefits including better security, no unscheduled downtime and frequent updates to functionality.
    • Those transferring from cheaper solutions have lost money in the aim to be better integrated with other Microsoft products and AI they don't really utilize.
    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.