Google BigQuery vs. OneStream

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

Financial Planning / Forecasting, People Planning, and Financial Close and Consolidation are well suite while we are still evaluating GL Account Reconciliations and other solutions available via the Solution Exchange. Overall, we believe OneStream is going to allow us to "get out of excel" and perform Global Consolidation in the system

Incentivized

• 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

• Consolidation of Group Results across 600 Entities
• Flexibility of Reporting through Dashboard Reporting Suite and Excel Interface
• Ability to create Bespoke Models for specific requirements. (Ifrs15/16/BC/DC/Payroll, Covenance Reporting, etc.)
• Singular Cube for One source of the Truth
• Customisable Maintenance Platform to facilitate high growth strategy

• 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

• Journal copy feature would be good to have
• The Excel Add in is limited to only one application. Would be good to have the ability to pull from say Dev and Prod so side by side comparisons could be done
• Better interface to handle metadata changes

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

Currently we are using OneStream with people 80 - 100 to load the PL, BS , Forecast budget and People Planning. OneStream give us more visibility on trend and way forward thinking. Thanks to OneStream for the tool which helps the business in growing way. Thinking of innovation OneStream is right path.

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 usability as an end-user is very easy. There are more people in the system getting information now than the prior platform used. People are gathering their information quicker as well. From an administrator standpoint, there are fewer glitches and issues than the prior platform. This is very good.

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

OneStream support is focused on the infrastructure. Which means mainly when there issues with accessing to the system, they will be able to help. When the question is to much leaning towards functional it really becomes billable. The other issue is that the response time is not optimal. There is a lot of pingpong of messages and the time between the message can sometimes be long. Sometimes this result into a simple ticket to be taking days before it is closed.

Incentivized

onestream offers a range of training. I have attended a number of trainings. During the trainings a vast amount of information is discussed. The trainings also include exercises. The speed of the training is pretty high. When reviewing the training material afterwards, I found that the material is not complete as reference as it relies also very much on the verbal explanation and elaboration.

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

OneStream is the overall clear winner against HFM. There are a few things HFM does better (a couple things in Smart View), but it just doesn't have as much capability. The single, integrated platform that OneStream is provides a massive upgrade from HFM.

Incentivized

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

• Customers have moved from multiple EPM systems as well as multiple EPM applications to OneStream.
• Their ROI has been quite high as lesser admins are required, no need to move data back & forth, no need for an additional dashboarding / BI tool, once a user is on OneStream can leverage it for more than 50+ use cases at no additional license cost.
• Automation, direct integration, scheduling, complex calculation capabilities, all help to further improve ROI and free up the time for the team to do value-adding tasks.
• Last but not the least is the confidence on the numbers is much higher.