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)
ibi WebFOCUS
Score 7.0 out of 10
N/A
The ibi™ WebFOCUS® product is an enterprise business intelligence and analytics solution equipped with data management, visual discovery, predictive analytics, and visualizations. Combining these capabilities and data science in one unified containerized platform, the WebFOCUS® solution can be used to make data-driven decisions across the enterprise and provide reports, dashboards, and customer-facing applications at scale.
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).
I would less recommend it because it looks like IBI is receding a bit from the European market. I would not be certain for future support. Knowledge in the market in western Europe is limited Functional wise the application suits almost all situations. I would for sure recommend it purely based on its capabilities
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.
One thing that has always been good at WebFOCUS is how they interact with the customer on items. They take suggestions and implement them. In addition technical support is timely and very detailed.
I think they keep up with and lead in implementing new technologies in the BI space. One case of this are the ability for user to create their own easy dashboard using the green plus buttons. Also the ability to link d3 into and have the ability to implement new types of graphs is nice.
I have been to a spoke at one of their user conferences and they are worth going to. In addition to all of the great seminars the interaction you get with vendors and other users is key in the growth of your knowledge. I've learned so much for my time at these conferences.
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.
The newest versions of WebFOCUS have an unnecessarily complicated security layout that makes configuration difficult to accomplish without bringing in the vendor for installs.
This software tries to cover too many bases allowing you to switch from writing code manually to creating reports using only GUI tools. This sometimes complicates screens and functionality where the two methods don't always work well together. -though its nice to have the choice.
The sales force is not as top notch as many software companies
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.
This software is deeply engrained with my organization and has become a tool that would not easily be replaced without spending more money and resources to get the same results. License cost is comparable to other report writing tools and the capabilities are greater than the competition without having to buy multiple apps to do the same thing.
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.
Best BI tool/product I have used. The others don't compare overall. Some can look fancier, but when you actually use them with large data and data from numerous systems/sources that is where most of the competition falls away. I also don't like downtime. I have basically none for a large user base with WebFocus. Even SAP Crystal Reports went down for 4 days once - 4 days because the admin password got locked out due to a glitch and we had zero reports for 4 days. WebFocus has never had more than a few minutes of downtime. It's like a tank that just keeps rolling. There is no other choice for reliable BI.
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.
They have extremely knowledgeable techs that I have worked with over the years. Some have actually become really good friends of mine. I see them often at local user groups and when we show them how we are using their tools to save millions of dollars throughout the company
Plan ahead on what data will be accessible and the type of security required on the database and if you will want to use security that is built into the software. It is worth consulting with the vendor on what your plan is and how they recommend you proceed in order to get results you are happy with.
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.
Webfocus handles the side of our business that is involved with our catalogs. Our catalogs is a huge revenue driver for us and this tool has been extremely useful with planning feature catalogs. Tableau is used more for marketing and merchandising purchases since we can filter data based on website sales.
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.
We are not yet a success story. Though we've been implementing WebFOCUS for over a year, we have very few products in our Production portal. Of course, this is not all the responsibility of Information Builders, but we were ill-advised by our 'training coordinator' in our training of staff and coming up to speed with the tools has been very slow.
Once skilled analysts and professional IT staff achieve a grasp of the products, they are able to very quickly create polished and well-received products.
The DW/BI project has helped us to establish standards and protocols of communication that will allow us to more quickly meet knowledge transfer requirements
