StreamSets, a Software AG company, announced the latest version of the StreamSets platform trial along with new features to help organizations modernize their data ecosystems to unlock their data, accelerate time to insights and improve user productivity.
“We are excited to unveil a new 30-day trial of the StreamSets platform, offering users the opportunity to dive right in and experience how the platform can help them deliver data for their organization’s data and analytics initiatives,” said Michele Reister, VP of Global Marketing at StreamSets. “Through our new free trial experience, users can explore the platform’s full capabilities and experience how it can help streamline their data operations and improve productivity.”
The latest version of the platform trial will provide users with 30-day access to the platform. During the trial period, users will have full access to all of the features and functionality of the platform, including StreamSets Data Collector and StreamSets Transformer for Snowflake.
In addition to the launch of the trial, StreamSets has rolled out a series of features in recent months that enhance collaborations with pivotal technology partners such as Snowflake, AWS, and MongoDB and enable organizations that are modernizing their data environments.
The features include:
- StreamSets Transformer for Snowflake—Easily perform no-code data transformations natively in Snowflake. This tool provides a user-friendly graphical interface with pre-built processors that simplify building, executing, and monitoring even the most complex data transformations. Transformer for Snowflake enables collaboration across the organization and empowers business users with self-service capabilities, significantly accelerating time to insights.
- Support for Amazon EMR Serverless—Support for Amazon EMR Serverless further enables organizations to process and analyze large amounts of data in a cost-effective, scalable, and serverless manner. This is highly beneficial for organizations leveraging Amazon EMR Serverless as a destination.
- Support for MongoDB Atlas Origin & Destination—Accelerate data and analytics initiatives with StreamSets and MongoDB. StreamSets MongoDB Atlas origin and destination allows users to read from and write to MongoDB Atlas and MongoDB Enterprise Server. This enhancement can be useful for organizations that are leveraging MongoDB Atlas and MongoDB Enterprise.
- Oracle CDC Support for Data Guard—Perform CDC from Oracle Data Guard as an efficient means to replicate and synchronize data. This can be especially useful for organizations that house data in disparate systems and formats and want to leverage cloud destinations such as Snowflake to perform reporting and analytics.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...