Apr 3: Biweekly Product Update

Apr 3: Biweekly Product Update

Here's what's new in Timeplus Cloud:


Streaming Database and SQL:

?? Added 2 new functions:?arg_min?and?arg_max. With them, you can quickly locate the row with the minimum or maximum value for one column, and get the value for the specific column. To access more rows or columns, please use?min_k?and?max_k.


Experimental: In addition to the default append-only data streams, you can now create streams with mutations and versions. Contact us if you want to try this feature.

No alt text provided for this image
create streams in different modes

Dashboard:

Conditional formatting is now supported in table visualizations. You can highlight a cell or an entire row if the value meets a certain condition you've set, such as speed > 80, or is_risky=true. The condition is evaluated in the browser, not on the server side (not via SQL).

No alt text provided for this image
conditional formatting for table visualization

Also in table visualizations, if you set the "Update Mode" as "By Key", then you can turn on trend colors. For example, when you show the live prices for a set of stocks, if the price for a symbol increases, the delta number will be shown in green with a ?? icon. You can also configure the color of the delta number.

No alt text provided for this image
how number trends in table visualizations



Other Enhancements:

Updated the Source list page: source tiles are now smaller as we prepare to add more in the next few releases.

No alt text provided for this image

"Apache Kafka" and "Confluent Cloud" wizards have been redesigned to provide a more intuitive configuration experience.

No alt text provided for this image
new UI for Kafka source

Updated the navigation menu. A few features are now at the top level: External Streams, Materialized Views, and User-Defined Functions.

No alt text provided for this image
updated the navigation menu

Try out Timeplus Cloud yourself.?Create a free workspace or try our demo workspace with built-in FinTech and Github live data.

Have questions or comments for us??Get in touch?to discuss your unique use cases.

Subscribe to our newsletter to learn more about streaming analytics with Timeplus.

要查看或添加评论,请登录

Timeplus的更多文章

社区洞察

其他会员也浏览了