Google'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
Score 5.1 out of 10
N/A
Microsoft 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 BigQuery
Microsoft 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 BigQuery
Microsoft Dynamics GP
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google BigQuery
Microsoft Dynamics GP
Features
Google BigQuery
Microsoft Dynamics GP
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google BigQuery
8.5
80 Ratings
0% above category average
Microsoft Dynamics GP
-
Ratings
Automatic software patching
8.017 Ratings
00 Ratings
Database scalability
9.179 Ratings
00 Ratings
Automated backups
8.524 Ratings
00 Ratings
Database security provisions
8.773 Ratings
00 Ratings
Monitoring and metrics
8.475 Ratings
00 Ratings
Automatic host deployment
8.013 Ratings
00 Ratings
Payroll Management
Comparison of Payroll Management features of Product A and Product B
Google BigQuery
-
Ratings
Microsoft Dynamics GP
6.4
20 Ratings
17% below category average
Pay calculation
00 Ratings
6.319 Ratings
Benefit plan administration
00 Ratings
5.915 Ratings
Direct deposit files
00 Ratings
7.518 Ratings
Salary revision and increment management
00 Ratings
6.517 Ratings
Reimbursement management
00 Ratings
6.016 Ratings
Customization
Comparison of Customization features of Product A and Product B
Google BigQuery
-
Ratings
Microsoft Dynamics GP
4.3
27 Ratings
55% below category average
API for custom integration
00 Ratings
2.526 Ratings
Plug-ins
00 Ratings
6.021 Ratings
Security
Comparison of Security features of Product A and Product B
Google BigQuery
-
Ratings
Microsoft Dynamics GP
7.0
40 Ratings
16% below category average
Single sign-on capability
00 Ratings
5.932 Ratings
Role-based user permissions
00 Ratings
8.240 Ratings
Reporting & Analytics
Comparison of Reporting & Analytics features of Product A and Product B
Google BigQuery
-
Ratings
Microsoft Dynamics GP
5.4
41 Ratings
37% below category average
Dashboards
00 Ratings
3.529 Ratings
Standard reports
00 Ratings
6.239 Ratings
Custom reports
00 Ratings
6.539 Ratings
General Ledger and Configurable Accounting
Comparison of General Ledger and Configurable Accounting features of Product A and Product B
Google BigQuery
-
Ratings
Microsoft Dynamics GP
5.1
48 Ratings
40% below category average
Accounts payable
00 Ratings
6.445 Ratings
Accounts receivable
00 Ratings
5.936 Ratings
Cash management
00 Ratings
6.436 Ratings
Bank reconciliation
00 Ratings
5.741 Ratings
Expense management
00 Ratings
4.531 Ratings
Time tracking
00 Ratings
8.014 Ratings
Fixed asset management
00 Ratings
4.628 Ratings
Multi-currency support
00 Ratings
2.919 Ratings
Multi-division support
00 Ratings
3.026 Ratings
Regulations compliance
00 Ratings
3.314 Ratings
Electronic tax filing
00 Ratings
9.012 Ratings
Self-service portal
00 Ratings
7.012 Ratings
Global Financial Support
00 Ratings
6.07 Ratings
Primary and Secondary Ledgers
00 Ratings
4.721 Ratings
Intercompany Accounting
00 Ratings
3.918 Ratings
Localizations
00 Ratings
4.513 Ratings
Journals and Reconciliations
00 Ratings
4.726 Ratings
Enterprise Accounting
00 Ratings
2.916 Ratings
Configurable Accounting
00 Ratings
4.117 Ratings
Centralized Rules Framework
00 Ratings
3.814 Ratings
Standardized Processes
00 Ratings
6.219 Ratings
Inventory Management
Comparison of Inventory Management features of Product A and Product B
Google BigQuery
-
Ratings
Microsoft Dynamics GP
4.6
26 Ratings
46% below category average
Inventory tracking
00 Ratings
6.224 Ratings
Automatic reordering
00 Ratings
1.013 Ratings
Location management
00 Ratings
4.018 Ratings
Manufacturing module
00 Ratings
4.615 Ratings
Order Management
Comparison of Order Management features of Product A and Product B
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).
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.
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.
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)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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!