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ScyllaDB adds vector search to managed database platform
The feature's direct integration in the X Cloud platform is aimed at simplifying AI development by eliminating the need for customers to add specialized databases.
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ScyllaDB X Cloud update addresses database cost, performance
Features such as autoscaling and advanced compression are designed to help customers reduce spending on their data management, analytics and AI initiatives.
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MongoDB launches latest Voyage models to aid AI development
With many enterprises struggling to build advanced applications, new embedding and reranking models improve data retrieval to make agents and other tools more effective.
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How data lineage became a boardroom metric
Data lineage has moved beyond a technical function, becoming a board-level signal of how well organizations govern, audit and explain their data across complex environments.
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GoodData launches MCP server to fuel AI-powered analysis
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Different types of database management systems explained
The various types of database software come with advantages, limitations and optimal uses that prospective buyers should be aware of before choosing a DBMS.
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Latest AWS data management features target cost control
As the volume and complexity of enterprise data estates increase, and the size of data workloads grows due to AI development, the tech giant aims to help users reduce spending.
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Modern data architectures as a risk management strategy
As organizations modernize their data systems, architecture choices will determine how risk is governed, disruptions are absorbed, and regulatory obligations are managed over time.
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4 trends that shaped data management, analytics in 2025
With each relating to agentic AI development, tendencies included nearly universal support for MCP and rising emphasis on semantic modeling, among others.
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Data Governance Manage
How data lineage became a boardroom metric
Data lineage has moved beyond a technical function, becoming a board-level signal of how well organizations govern, audit and explain their data across complex environments.
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Modern data architectures as a risk management strategy
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How data lineage became a boardroom metric
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What is customer data integration (CDI)?
Customer data integration (CDI) is the process of defining, consolidating and managing customer information across an organization's business units and systems to achieve a "single version of the truth" for customer data.
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Data management strategies
ScyllaDB adds vector search to managed database platform
The feature's direct integration in the X Cloud platform is aimed at simplifying AI development by eliminating the need for customers to add specialized databases.
-
Data management strategies
ScyllaDB X Cloud update addresses database cost, performance
Features such as autoscaling and advanced compression are designed to help customers reduce spending on their data management, analytics and AI initiatives.
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Data management strategies
MongoDB launches latest Voyage models to aid AI development
With many enterprises struggling to build advanced applications, new embedding and reranking models improve data retrieval to make agents and other tools more effective.
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