Tibco today introduced new features for its analytics applications that will help customers more quickly extract insights from their data. 

Santa Clara, California-based Tibco is a major provider of data analytics software. The company traded on the Nasdaq until 2014, when it was acquired by private equity firm Vista Equity Partners for $4.3 billion. Tibco currently operates as a unit of Cloud Software Group Holdings Inc., an enterprise software company that Vista Equity Partners formed late last year. 

The first product for which Tibco announced new features today is Data Science Team Studio. It’s an application that analytics teams use to find useful patterns in business information, build machine learning models and perform related tasks. It also includes collaboration features to help teams coordinate their work. 

Data Science Team Studio now integrates with another Tibco product called Tibco Data Virtualization. The latter tool enables users to access records from multiple sources, such as cloud environments, through a centralized interface. The ability to access information centrally makes it easier to find and retrieve the datasets company requires for an analytics project.

Team Studio is also receiving performance optimizations that will allow it to analyze information faster. According to Tibco, one set of optimizations will speed up analytics workflows written in the Python programming language. Another set of enhancements will accelerate data processing projects carried out using Spark.

Spark is a popular software engine for carrying out data analysis. Tibco is updating Data Science Team Studio with support for Spark 3.2, a new release of the engine that features several performance optimizations. One of those optimizations, a feature called adaptive query execution, can fine-tune analytics queries while they’re running to reduce loading times. 

“Companies successful with digital programs use solutions that simplify data management and accelerate the analytics lifecycle,” said Tibco General Manager Matt Quinn. “With these robust capabilities, we enable customers to identify insights and take actions in real time, resulting in rapid ROI across their digital journey.”

The second product for which Tibco announced an update today is Tibco Streaming. It’s a set of tools that companies can use to build real-time applications, or applications that process new data immediately after it’s generated.

Tibco Streaming is now receiving a machine learning feature called Dynamic Learning. The feature aims to ease the development of artificial intelligence models that process real-time data. Historically, building such AI models was technically challenging for software teams. 

Using Dynamic Learning, a company could create an AI model that analyzes server error logs within seconds of their arrival and quickly determines whether there might be a risk of downtime. The result is that technical issues can be detected faster. Tibco says Dynamic Learning supports other use cases as well, such as processing real-time data from connected devices. 

Tibco is also updating its Spotfire data visualization platform on the occasion. The platform is receiving new controls that will enable administrators to more easily manage user accounts and detect potentially unauthorized data use. Additionally, Tibco has added the ability to run Spotfire on systems powered by Ubuntu, a Linux distribution popular among developers.

Photo: Tibco