Google BigQuery vs. SailPoint Identity Security Cloud

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

We are happy with the management of the Id, accounts where the user can request any access easily. Also the many connector which Sailpoint is offering in order to onboard lots of applications is quite helpful. The access review module has also have been improve so that large campaigns can we work out easily.

Where we see some improvement is on the UI as here it is not so intuitive for the end user, so that we need to make lots of communications and training so that the user is able to understand how to use it.

For the administration and creation of roles it also would be great to have some improvements here to make it more easily its management.

• 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

• Brings users access, profiles and accounts all into one place
• Manages the Life Cycle Management process across ALL identities, permanent and Temporary
• Secures and manages access to critical applications and resources across the group
• Enables Info. Security to customise, share and delegate authority across the group
• Single version of the truth across our technology platform

Incentivized

• 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

• The user interface is not very intuitive. It is hard for the occasional user to navigate through the request process. There are no instructions on the screen to help the user to know what to do. It is left up to the user to figure out what to click on and how to navigate through the process.

Incentivized

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

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

Overall usablity is excellent. The product is capable of performing all the expected tasks for a IAM solution.

Incentivized

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

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

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

Support for Customizations is very limited.

Incentivized

Implementation was done correctly and all the requirements were met.

Incentivized

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

The on-prem SailPoint IdentityIQ platform provides the necessary customization that is required in our dynamic environment. Although we may look at a cloud-based Identity Management service again in the future, (there are many advantages), our identity management, authentication, and application assignment processes cannot be quickly consolidated to a single cloud-based service at this time.

None so far. Very satisfied with the transparency on contract terms and pricing model.

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

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.

Incentivized

• Over 300,000 password change/reset calls avoided to the helpdesk annually.
• 1,000 plus accounts with proper accesses provisioned via automated birthright processes weekly versus 1-2 days of manual provisioning and approvals. With a call center population that churns many people per week, this brings many dollars of efficiency to the operations teams.
• Flexibility on terminations to manage accounts and access for target applications based on regulatory or business rules to ensure compliance and avoid fines for non-compliance.

Incentivized