Datasite Diligence is a sell-side virtual data room offering rigorous security and seamless collaboration. Users can categorize and redact with AI, track tasks, answer questions, and analyze progress.
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Google BigQuery
Score 8.7 out of 10
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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)
Datasite is well suited for organizing large quantities of a variety of documents into folders. It is not as well suited for Xcel, which generally requires downloading in order to review, but there are quick preview options for Word and PDF items.
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).
User-friendly interface. We download datarooms for a single deal over 30+ times per deal (as the dataroom gets updated), so the interface being easy to access / navigate is extremely important.
Features: Datasite Diligence Virtual Data Room gives great tools beyond just downloading a dataroom. Easy notifications when something gets downloaded, two factor authentication, ability to search data room or filter for recently uploaded files, etc.
Organization: A lot of data rooms do not allow you to keep organized file paths. When you download a dataroom it often looses all the index folder names. Datasite Diligence Virtual Data Room keeps files extremely organized and is always available.
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.
Major feature I noticed in other datarooms that's missing in Datasite Diligence Virtual Data Room is bulk download feature. I can select multiple files/folders under a parent folder, however, I would like to be able to download selected files/folders from among multiple folders.
Another feature I'd love to see is a "New*" menu item in Q&A, just like we have in the Documents section correctly. I know I can still use the date to filter the latest answered questions, but having the "New" option makes it a lot easier to do a quick filter. My idea is that this option will show all activity that I haven't looked at since my last login, irrespective of date.
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.
It is my go to data room provider and I am super comfortable using it. I don't think I would want to use anything else since I can't trust them like I can trust Datasite
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.
Tough to figure out at first but after using the platform for some time, you can get used to Datasite Diligence Virtual Data Room pretty quickly. Would be great to have more of a tutorial up front to better be able to navigate the software, especially starting off as the data dealt with is sensitive.
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.
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.
As a technology diligence specialist, on the buyside I'll use whatever the target company has chosen. On the sell side, if asked for a recommendation, I'll usually point clients towards the most suitable solution for their scale and the complexity of the deal.
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.
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.
