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
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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.
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SAP Cloud ERP
Score 8.6 out of 10
N/A
SAP Cloud ERP (SAP S/4HANA Cloud) is a modular ERP that enables users to run mission-critical operations in real time from anywhere, introduce new business models in any industry, and expand globally. SAP Cloud ERP is a SaaS product and can also be deployed in a hybrid landscape for quicker time to value. SAP Cloud ERP is a foundational component of the
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.
Does well Manufacturing companies - E2E integration. Product Costing integration with manufacturing. Order to Cash - E2E integration, Joule, and openness to integrating third-party products. Less appropriate AI capabilities - competition is moving faster. E2E professional services business as business is evolving faster, and new ideas are coming in at a fast pace.
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)
The software helps in forecasting and identifying potential challenges that would affect our organisation in the near future. This enables us to prepare in advance and also adopt practical and viable measures.
It enables faster and accurate data processing, which enhances decision-making.
It's easily customizable according to specific organizational needs. This promotes overall efficiency and productivity of the organization.
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.
The cost of SAP as an ERP is quite high and the switching costs associated with ERP systems are even higher. That being said moving from one ERP to another only happens once in a great while for large organizations. Those switching costs include retraining, IT hardware requirements, outside consultants and more
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.
Day to day data insight is more accurate for manufacturing industry to procure as per forecasted from supplier. Supply and fulfillment cycle becomes more easier. I would say more about performance as we are using this new server so we can see clear difference between SAP S/4HANA Cloud and ECC. Also it has customized business extensions for rapid development.
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.
The support system I find great as whenever I run into problems they rectify them quickly as possible they never reacted late the support is just up to the mark for me. They provide many solutions to the problems I faced the [technical] team support is always amazing they [listen] to mean work accordingly.
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.
SAP requires a lot of internal and external resources to complete its successful implementation. The cloud version requires a deeper understanding of the different capabilities of the local systems (hardware) and the connection towards your local IT team. We found several problems on our systems that we couldn't foresee before the implementation and roll out.
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.
The platform utilizes advanced predictive analytics to anticipate operational bottlenecks and put them out of commission before the problems become larger. We can proactively develop effective strategies that help keep service quality in the face of unexpected changes in the market, or external disruptions, by continuously analyzing historical performance data as well as elements of the current market
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!
