TIBCO Integration (including BusinessWorks and Flogo)
Likelihood to Recommend
Google
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).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
In BusinessWorks it is quite easy to develop applications and monitor where as it is not similar with Scribe. The data which successfully processed in Scribe is quite difficult to view. I think the Scribe console tool should have better view for the data it has processed.At times we founds some of our sales orders are missing which are unable to update/insert in the DB, after investigation found the issue is in Scribe tool. A case has been raised 02129657 for the same and as per the guidelines from the Scribe support engineer we did changes in the shutdown interval to zero. ''update SCRIBEINTERNAL.SCRIBE.KSYNC set keyvalue= 0 where KEYNAME = 'SETTINGS.SHUTDOWNINTERVAL''. Later this change we started getting alert emails like ''Fatal error 325 occurred: Message processor shutting down - defined maximum memory usage (900MB) exceeded. Please contact Scribe support at support@scribesoft.com if this problem persists''. We found this issue is a critical one as the occurrences of it is decreased but still it is persist.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The UI is easy to navigate and map flows are intuitive and easy to build upon after some basic training. However, a user should have some basic knowledge of writing nested statements.
Very responsive customer support.
The debug feature is a great tool for troubleshooting. You can easily identify where the issue is in your flow. At each debug step, it returns the expected value, and when there isn't the expected value, you know when to modify your flow.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Missing functionality: We like to run all the files available in the FTP when clicking the run button. Right now, we have to click the run button several times (or have multiple solutions) in order to run files from our FTP site one at a time.
Generating column fields every time a file changes from the source in the FTP is very tedious. Working in integrations makes me have to go back and forth a lot of the time, and doing this is incredibly annoying.
The security is horrendous. We installed an on-premise agent on the customer side, but we don't want them even touching the ETL tool at all. The only knowledge we are fine with knowing and being able to see is that they installed the agent, not the solutions themselves.
Our company's connector would have to point to the dataset name rather than dataset ID. It was very frustrating because we change the dataset name a lot, and then we'd have to repoint it.
It's very difficult to monitor the different integrations that go on because there isn't a consolidated dashboard.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
We are deeply entrenched in using Tibco Scribe capabilities, and we are only expanding our usage. It would be one thing if we used it only for a one-time data load, but we have several Scribe maps running constantly, keeping business-critical data up to date. And the ease of use for the occasional, mass data update or upload is simply icing on the cake. I'm a big Microsoft fan, so there is potential down the road to convert our Scribe data integrations to Microsoft Flow (or Power Automate as it is now called). But for now, the functionality just isn't there with Flow (Power Automate), plus the work involved to change all our current integrations would be a large undertaking. So for now and the foreseeable future, Scribe will remain our data integration tool of choice.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
As mentioned in the previous sections, setup and maintenance is extremely easy. We don't have many issues for which we need support and there is no need for deep technical skills to use Tibco Cloud Integration platform. The solution provides everything we need for our specific use case, being the replication of our Microsoft Dynamics 365 CRM data to our on premise database for reporting.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have not had any issues with TIBCO not being available when needed. I have only had to contact support less than 5 times in about 5 year time frame due to syncing issues or a problem with the agent. Support is very quick to respond as well as very helpful.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
TIBCO Cloud Integration (including BusinessWorks and Scribe)'s performance of the user interface are not to be complained about. The user interface is swift and is a pleasant user experience. The replication jobs take some time to finish but that is because the number of records to be updated/created on a daily basis is quite big. I did split up the jobs between highrunners (entities with a lot of changes) I update on a daily basis and quite stable entities that I update weekly. That solved my issue of a way to long replication.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
For creating new process, you have lots of palettes to do every develop you need. For created process it is easy to understand even if you have ever seen before it. You can analyze your process in all their detail. User Experience is positive for beginner and expertise people. Just debug mode is still raw, but better in TIBCO BusinessWorks 6.x than TIBCO BusinessWorks 5.x .
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Before using TIBCO Businessworks, I participated an official training with a specialized instructor. In this training, I learned what I needed to know to build some applications or web services and how to manage its. It was been very important to me. I understood many technical stuff to familiarize with this powerful platform. I can advice TIBCO Educational Services.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
If we don't design the process correctly, it can do lot of damage (like deleting files or data etc.,) and might assume product issue rather than a design flaw. So it is always recommended to do thorough unit testing , QA and a design review even for a small process to avoid major problems.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Used TIBCO for migration of our data for our learning management system.TIBCO, succesful Content ,data migration(courses, classes, registrations, transcripts etc.) ,User migration(Internal users and Partner migration)and Report migrationIntegrations with different applications Workday,Single Sign-On,CertTracker,Okta,Partner contact sync and Questionmark is succesful.LOD: Learn on demand is a third party vendor application where all Virtual classes are delivered by the vendor application. Learning management system sends the class and registration events to learn on demand via real time web service call through TIBCO
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We could easily add multiple agents and new systems. This had no impact on the performance. We had some issues because flows cannot be splitted and called by each other. So you have lots of flows which are the same. It would be great if this was improved. Also transferring values via variables between flows seems to be impossible. You can only use global lists with dictionaries.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
