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).
Any scenario where you need to reach back into TIBCO support is something I would highly avoid. Most responses at the second round get you pointed to engaging their professional services. The general mentality seems to be "since our product acquisition cost is low, why don't you engage PS to get the value you need" If you are looking at enterprise scenarios, I would highly recommend looking at other more established products.
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.
Very intuitive tool - An Advanced reporting user can figure out in a day on the end to end operations.
Easy customization - Simple changes in UI makes it less headache for the end user who maintains the tool. Being an open source product (offers Jasper web services) makes a lot developer friendly compared to SSRS, Cognos etc.
Easy Connectivity - Can connect to any data source (can connect to multiple data sources) for a single report - can be customized.
Community - A very strong community available online, videos - on basic how to questions, also provides assistance to use case specific scenarios.
Ease of Reporting - Can create a reports with in few clicks with out struggle.
Domain Designer - A very powerful tool you can create a dataset using clicks with out writing SQL code.
OnDemand Scheduling - A very good scheduling feature and a has got lot more simplistic compared to other popular tools like Cognos.
Jasper Studio - Very good programmatic tool (desktop tool) lets you customize the reports more company specific, can embed complex coding with 3rd party languages like Java, Groovy (scripting language).
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.
Easier to customize the Jasper Server GUI. More flexibility with the input controls look and feel and maybe more input control types to select from.
Have browser event functionality in the reporting itself.
An easier way to iterate through an object. Maybe an option that tells the report Java run-time to stop following the report sequential flow and first integrate through this stated object many times.
An easier way to create a list and add values to this list.
Maybe one could stipulate the process flow of what needs to be computed first in a given field.
The crosstab is a bit buggy on the Jasper studio side, so if that could be improved.
Better and more examples of custom components
The jive functionality on the tables needs an update. It looks so old and outdated.
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.
Even though there are challenges with Architecture, sizing and other areas with Jaspersoft provided that Jaspersoft comes up with the right set of innovation, performance, scalability, and documentation in future it will be great expansion (win-win) situation for the clients and as well as Jaspersoft.
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.
The overall performance of this platform has been excellent. It is easy to work with the user interface. Creation of digital content and publishing on our social media platforms during marketing has been easy. Running our applications and upgrading our system to meet international standards has been successful. The user dashboard displays reports and performance of all departments effectively.
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.
We have only had a couple of tickets to be open while using Jaspersoft. Each time we have a very prompte responses that would meet our expectations. We always felt that our issues were being address in a timely manner
While the training was somewhat beneficial, a lot of what was taught to us was what we managed to figure out in the weeks prior. It did provide some useful tips and reference material, but overall something more tailored to our requirements would've been better.
New releases can be very buggy, also lacking when it comes to standard time zones and formats that are outside the US. As a company we never feel comfortable implementing a new release for at least 3-6 months due to errors that are found
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.
Crystal reports is very expensive and does not integrate well with java based servers. Jasper also provides community edition, if we every want to downgrade the use, we always have the option of eliminating the server and using the reports as they are. Jasper also give you the opportunity to build BI on case by base basis including Dashboards.
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.
Jaspersoft Community Edition has not had any significant impact on our ROI as we have purchased the commercial edition of the product.
The only impact on ROI is that when we bring on new developers, he or she can begin work using the community edition while awaiting the installation of the commercial edition.
