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Stream, a real-time data integration and streaming platform, has been rapidly repeating itself late on its platform. Last month, the company announced Striim Cloud on Google Cloud to facilitate real-time data streaming for Google’s Cloud customers. And last week, it released the latest version of its platform: 4.1. The new version provides tools to help users with their streaming usage case, management tasks and configuration, which seeks to enhance the team’s collaboration with automation.
Get deeper into Google Cloud and Stream
Last month, Stream joined forces with Google Cloud. Google’s tie-up is in line with Stream’s goal of accelerating the growth of streaming data integration and providing customers with ways to make database migration easier on-the-cloud. Now, with Striim, Striim’s StreamShift migration service allows users to migrate their databases and workflows to the cloud and host their data and operations on Google Cloud. By doing so, Stream says, those customers can meet their compliance needs while reducing costs and increasing scalability and flexibility. Striim Cloud on Google Cloud is available to all Striim customers and allows users from a range of backgrounds to participate in real-time data integration and streaming workflows using Stream’s UI, which the company says is fully automated and intuitive.
Alok Parikh, executive vice president, products at Stream, which is trying to address the stream about Google Cloud Partnerships and Pain Points, said: Is spread. They want to integrate their data and create a real-time source of truth without adding other puzzle pieces to the infrastructure needed to manage them. Stream Cloud Enterprise on Google Cloud enables customers to do the same. ”
The new capabilities allow Striim users to achieve a multi-cloud solution that includes Google Cloud while reducing the overall total cost of ownership (TCO) for operating multiple systems. Stream says its platform allows users to access data wherever and whenever they need to be analyzed – without having to deal with complex database migration processes. Stream’s database- and location-agnostic architecture allows the movement of data between the supported source and target databases through automatic data transformation. Part of fully managed features such as Auto-Scale, Auto-Upgrade, Cross-Regional Disaster Recovery, Data Backup, Single Sign-On, Roll-Based Access Control (RBAC), and Multi-Factor Authentication (MFA). Platform too.
Why Google Cloud Partnership Is Important
It is clear that data streaming is big nowadays; In a fast-paced world, it makes the most sense once data is received. Combined with the latest version 4.1 of Stream, which has released a new Modified Data Capture (CDC) adapter for faster data reading, users can read data from multiple sources and write it to a supported Google target service or endpoint. This allows users to process, analyze, and store data on GCP using a single, fully-powered SaaS platform. Stream says users can take advantage of real-time processing to gain flexibility by reducing costs.
What’s next stream cloud on Google Cloud?
Creating and managing data pipelines takes time, especially when more scalability is needed, as is usually the case with streaming data scenarios. Stream Cloud on Google Cloud offers a fully-powered solution for real-time streaming that allows enterprises to focus on one important goal: to enable effective business decisions in real-time.
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