Google BigQuery vs. Jedox

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

Best suited for financial consolidation and / or as a highly customized and compact EPM / BI solution (up to 100 CCU) with individual workflows, planning and reporting functionalities, with moderate number of users (no restrictions for any industry, all industries are covered well). It also has advanced reporting & data analysis requirements and provides an integration and reporting layer of imported data from different external systems (via ETL). It can help with migrating your legacy Excel-based business models to the Web. It is not well suited for Enterprise BI applications with expecting >500 CCU (users at the same time working with the system) - this may cause serious performance issues, as all data is kept in RAM. Jedox is also less suited for applications with heavy document management requirements (document management is not an out of the box functionality in Jedox and rather requires custom development through custom widgets etc.).

• 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

• Using the Excel add-in means that our team was almost instantly productive, being able to use a familiar interface to present and manipulate data.
• Allows us to quickly do analysis and comparison of current and historic data.
• Really good to produce meaningful management reporting that can be adapted responsively to business requirements.
• Implementing Jedox in our budget cycle dramatically reduced the time and complexity of the process, while making it more transparent.

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

• Diversity. Jedox can be applied to many different use cases from small to large deployments and from budgeting to enterprise class BI solutions. But rarely is one tool able to fulfill all of these requirements in one organisation. This value proposition can be complicated for prospective users.
• Awareness. Jedox punches above its weight in capability and scalability, but not enough people have heard about it and therefore procurement processes can be drawn out as a result.

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

For a period of 5 years all our customers using Jedox have renewed their licenses.

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

To me Jedox deserves 10/10 because it is a consistent one-in-all platform with a modern look and feel. It is intuitive to use and allows you to make intuitive applications integrating traditional business intelligence with performance management functionality. It certainly has a short
learning curve, especially for those that are familiar with MS Excel. An example: I've lost count but Jedox it is available in more than 25 languages. Another: Jedox does not require programming skills... it is developed to be used by the business.

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

Jedox has
very few bugs. Reports are available through an Excel add-in, the web and/or
mobile device (IOS/Android). In my opinion, availability also means high
performance, not having to wait for the system to give you the required reports,
analysis, dashboards instantly.

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

Jedox is the fastest OLAP tool on the market. It can use GPU cards to increase performance even more

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

Jedox support in general is a professional and fast responding team. An easy-to-use ticketing system is in place. Bug-related questions are solved fast (responses come usually in a few hours after the question), but some questions / tickets, that are not Jedox-related bugs (for example some advanced questions about Jedox functionality), may be forwarded to Application Management team for further processing and then it may take several days or even weeks to get a response here -> there is room for improvement here.

The implementation of SSO, SAML Authentication, HTTPS, Server splitting (Frontend / Backend servers) could be more standardized and made more user friendly to set up (e.g. via setup guide). Otherwise the implementation of Jedox is quick and simple when compared to other similar technologies.

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

Calumo is similar product to Jedox. I have used it extensively in my previous role. It was a major contender when we evaluated a BI platform for NIDA. Calumo is a great product as well and it was a very close call. Where we found Jedox to be a better fit for NIDA was the ability to prepare dynamic reports with ease without the need to learn MDX which was used extensively by Calumo to make dynamic reports which expand or shrink based on the underlying data. Another major benefit we saw in Jedox was the whole ETL process could be managed within Jedox instead of doing it in SQL server which negates having a dedicated SQL specialist role when the scale expands.

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

Scalability is often another word for speed. Given enough data, enough users or enough calculations, the tool becomes slower and slower. You will find that Jedox has a very high performance that can even be increased by the use of grafical cards. Other thaen that it does not only offer BI (looking back based on historical ERP data) but also allows you to look forward through integrated budgetting, planning, forecasting, workflow and collaboration. Not easy to find a tool that can support so much business functionality. So, also pretty scalable in that respect.

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

• Financial budgeting and Forecasting are done in a centralized fashion in Jedox now instead of a decentralized excel based approach. A lot of cost savings and improved reliability
• Easy to use self-help Dashboards and detailed reports
• Web-based reporting instead of excel based

Incentivized