IBM buys data streaming platform Confluent
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The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.
Redis Inc. today updated its namesake database with a set of new features designed to ease software development for customers. Some of the enhancements are rolling out for the core open-source version of the platform. Others will become available in the ...
Data integration aims to provide a unified and consistent view of all enterprise wide data. The data itself may be heterogeneous and reside in difference resources (XML files, legacy systems, relational databases, etc.). The desired extent of data ...
An integration platform as a service (iPaaS) is a cloud-based tool for linking existing applications and data flows into new services. Here are the key use cases, examples, and vendors. Readers will gain clear guidance on how to unify analytics, streamline operations and prepare their security teams for the emerging era of AI-powered defense.
TORONTO--(BUSINESS WIRE)--SoftwareReviews, a division of IT research and advisory firm Info-Tech Research Group, has published its 2021 Data Integration & IPaaS Emotional Footprint Awards, naming five vendors as Champions. The following vendors are ...
Data integration can seem like a never-ending quest as organizations try to combine and access data from disparate applications and sources. But as we move beyond relational as the only DBMS type that matters and embrace NoSQL and Hadoop data platforms ...
Using the hub-and-spoke model of a centralized data hub, businesses can easily achieve their real-time data goals, says Hanadi Salameh, an Enterprise Digital Architect at Cognizant. When I speak with clients about their data management architecture — and ...
Today, HawkSoft and SALT are announcing a new integration that helps independent insurance agencies improve the accuracy and efficiency of their data intake. SALT's intelligent intake platform is now available as an integrated package with HawkSoft,
Even as bioprocessors collect ever more data and analyze it with AI-based methods, the industry continues to face a crucial hurdle—data integration. “In most industrial biotech companies or CDMOs with bioprocessing workflows, data integration remains a ...