Apache Flink stories
Confluent says data streaming will enable faster, better decisions
Last month
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data protection
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data analytics
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digital transformation
Confluent says organisations must shift to governed data streaming, with AI agents making millisecond decisions at scale.
Forrester names Ververica a Leader in streaming data
Mon, 12th Jan 2026
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private cloud
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hybrid cloud
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data analytics
Forrester names Ververica a Leader in its Q4 2025 streaming data platforms Wave, citing its Apache Flink core and real-time scale focus.
Confluent unveils platform to bridge AI context gap with real-time data
Thu, 30th Oct 2025
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smart cities
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data science
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supply chain
Confluent launches Confluent Intelligence, a platform providing real-time data streaming to enhance AI context and support scalable, event-driven AI systems.
Confluent launches advanced Streaming Agents to boost AI agility
Thu, 30th Oct 2025
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hyperscale
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martech
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physical security
Confluent unveils advanced Streaming Agents, enabling faster, real-time AI agent development with minimal coding and enhanced observability for enterprises.
Confluent launches Streaming Agents to scale real-time AI
Wed, 20th Aug 2025
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devops
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data analytics
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digital transformation
Confluent unveils Streaming Agents in Confluent Cloud for Apache Flink, enabling businesses to scale AI agents that analyse and act on real-time data.
Confluent Cloud boosts agentic AI with enhanced data & security
Mon, 30th Jun 2025
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data analytics
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hyperscale
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ai
Confluent Cloud unveils new features blending real-time and historical data to enhance secure, intelligent AI agents and analytics for enterprises.
Onehouse unveils Open Engines for flexible data lakehouses
Fri, 18th Apr 2025
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hyperscale
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data science
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open source
Onehouse launches Open Engines, enabling users to deploy open compute engines on its lakehouse platform, boosting query speeds and cutting cloud costs.
Confluent launches tools in cloud for simpler AI apps
Mon, 24th Mar 2025
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data analytics
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data science
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rpa
Confluent unveils new features in Confluent Cloud aimed at simplifying the development of real-time AI apps, enhancing workflows and boosting cost efficiencies.