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 365
Score 8.6 out of 10
N/A
Microsoft 365 (formerly Office 365) is a Microsoft Cloud subscription service that includes Microsoft Office products (Word, Excel, PowerPoint, OneNote, Outlook, Publisher, and Access). The software can be installed across multiple devices and ensures that users always have the most up-to-date version of the included Office applications.
$5
Per User Per Month
Pricing
Google BigQuery
Microsoft 365
Editions & Modules
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
Business Basic
$5.00
Per User Per Month
Individual
$5.84
*Per Month
Business - Apps
$8.25
Per User Per Month
Enterprise - F3
$10.00
Per User Per Month
Business Standard
$12.50
Per User Per Month
Business Premium
$20.00
Per User Per Month
Enterprise - E3
$32.00
Per User Per Month
Enterprise - E5
$57.00
Per User Per Month
Offerings
Pricing Offerings
Google BigQuery
Microsoft 365
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
—
*When billed annually.
More Pricing Information
Community Pulse
Google BigQuery
Microsoft 365
Considered Both Products
Google BigQuery
No answer on this topic
Microsoft 365
Verified User
Engineer
Chose Microsoft 365
Because 365 connects most of my work apps such as OneDrive, SharePoint, and Teams.
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 365 would be well suited for medium to large enterprises. This is where there are several hundreds or thousands of people. Since most everyone has used one of the applications the learning curve would be reduced. Another reason would be the ability to implement security measures to prevent access to sensitive data. This could justify the cost of an Enterprise license.
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.
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.
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.
So far the Microsoft 365 platform provides features and tools that can cater to 100% of present organizations needs considering both technical and business necessities, however most features are not been effectively utilised at present. The current featureset is able to cover for most of the future needs of the business and technical functions.
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.
Microsoft 365 is the gold standard for performing project tasks in a professional environment, enabling the quick transfer and exchange of files and ideas for team members who work locally and remotely. Its suite of tools is familiar and has evolved to being cloud based, allowing for files to be updated in real time from near and far.
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.
To-date Microsoft 365 platform has offered an amazing uptime and availability percentage per year compared to all other products which provide the stability and overall business resilience of their ecosystem which is a great relief for information technology service entitites which heavy rely on Microsoft offerings as a whole to redeliver their own custom products
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.
The Microsoft 365 tools expects and demands a substantial amount of system resources to operate at optimal level and even more when integrated with other applications which is a downside, however given that external supporting tech factors such as fibre/broadband speed bandwidth, high speed RAM and ample storage resources are allocated the tools work error free providing robust communication
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.
Over the past 8 years of using Microsoft 365, I have noticed that they change vendors often. This always leads to a poor experience in the beginning, then levels out after some time for the company to get things worked out. As a customer, it is really frustrating because I don't have time when something isn't working to have them "look into my issue" and get back with me. They have even closed a ticket I specifically told them to keep open. Your applications are only as good as the support.
The resellers involved with selling Microsoft products are reluctant to provide in person specialist trainings to consumers due to the fact of costs of economies of scale and is not provided free of charge most of the time. In Person trainings needs to be agreed to at the initiation of projects and implementations for better ROI.
The standard training offered with 3rd part resellers are fairly standard and covers the basic workability however the trainings needs to be specifically customised according to unique requirements of the organizations. for example an MSP would need to master specific communications verticals within Microsoft 365 whereas and online store using Microsoft 365 would needs to master a different set of tools within the suite to get the best ROI post implementation.
The Microsoft support partners are more than capable of handling implementations and dealing with unprecedented errors during the implementations. Not part of the implementation though the setup was done with minimum misconfigurations which is evident with present live setup which works fine without any bugs and gaps at present context.
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.
Typically I prefer working with companies with Microsoft 365 as their main tool because they're usually a fast growing company with a global presence. I like using it for work because it's easy to collaborate, share, review, comment, reply in any of the tools. The mobile app for Outlook and Teams are lifesavers when we're constantly traveling and you can join meetings on the mobile Teams to never miss a beat.
Microsoft pricing is not very expensive and yet not very cheap as well, and it hovers in between the baseline. The charges are mostly based on the tier level partners who charge based on their individual reputation in the market. Power negotiation will lead to cost effective and attractive pricing
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.
Multiple tools within the same platform have been deployed successfully within different functional technical and non technical teams such as Devops, SOC, NOC, Shared services, Managed services, Global Information technology, Cloud operations, Finance, Administration, human resources and all these teams collaborate while maintaining central uniformity in terms of global standards who are dispersed in different geographical locations with ease
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.
Have not directly obtained professional services from Microsoft but rather obtained specialized services such as implementations and configurations, setting up and integration support with Microsoft authorized suppliers, 3rd parties, and resellers, which has been a pleasant experience. Again the level of delivery quality on professional services is based on the level of hands on exposure of the 3rd party
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.
We have a lot of nonprofit users, so they have a good ROI.
I like the constant updates without having to purchase the software repeatedly.
I used to purchase each Office (insert year here) often, so the software was up to date and had the newest options and connectors. I think my return on investment would have been much better if Microsoft had updated those versions to keep them current; after all, we did pay for them.
Microsoft 365's offering a monthly fee or a discount for a year helps, and you can look at it as a free backup if you have everything set to back up to One Drive. (Cloud-based document filing you can access anywhere ( with an internet connection)—you Can't beat that!)
