Tag: streaming data
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4 min read
Confluent Current 2025: Real-Time AI, Context, and a Streaming Industry at a Crossroads
Read more: Confluent Current 2025: Real-Time AI, Context, and a Streaming Industry at a CrossroadsLast week, I spent a few days in New Orleans for Confluent Current 2025, surrounded by the people who’ve helped build the real-time data movement from the ground up, including engineers, architects, platform leads, and product managers, there to compare notes on…
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4 min read
Agentic AI Takes the Stage: Key Shifts from Data Streaming Summit 2025
Read more: Agentic AI Takes the Stage: Key Shifts from Data Streaming Summit 2025Last month, I attended StreamNative’s 2025 Data Streaming Summit, where one trend became unmistakably clear: the center of gravity in AI is shifting from offline model training to agentic AI running directly on real-time streaming systems. Instead of treating AI as a…
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4 min read
ACID Without Locks: Why Deterministic Concurrency Works
Read more: ACID Without Locks: Why Deterministic Concurrency WorksIs your database truly ACID compliant—or just locked down by compromises? In the ever-evolving landscape of databases, ACID compliance remains the gold standard for applications in banking, travel, e-commerce, and telecom that demand strong guarantees on Atomicity, Consistency, Isolation, and Durability. Yet,…
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7 Data Patterns That Demand Volt for Streaming Decisions
Read more: 7 Data Patterns That Demand Volt for Streaming DecisionsModern real-time systems generate an exponentially increasing number of events. These events offer an invaluable opportunity to respond, but that opportunity is fleeting, lasting only within milliseconds. But, making the right decision at the right time isn’t just about speed – it’s…
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4 min read
The Hidden Costs of Centralized Data Processing — And How Edge Intelligence Eliminates Them
Read more: The Hidden Costs of Centralized Data Processing — And How Edge Intelligence Eliminates ThemYou already know: data has become the cornerstone of innovation, efficiency, and improved customer experiences across industries. Traditionally, organizations have relied on centralized data processing models, where information from edge devices is transmitted to central servers for analysis and real-time decision-making. While…
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4 min read
Digital Twins in Automotive: How Virtual Models are Driving Real-World Innovation
Read more: Digital Twins in Automotive: How Virtual Models are Driving Real-World InnovationAutomotive manufacturers face ever-evolving political and technological landscapes that make staying “ahead of the curve” essential not only to success but also to survival. A key way they can do this is by embracing and taking full advantage of the latest tools…
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4 min read
When NoSQL Isn’t Enough: The Need for a Stronger Data Platform
Read more: When NoSQL Isn’t Enough: The Need for a Stronger Data PlatformIntroduction NoSQL databases and data platforms have gained widespread adoption over the past decade, offering flexible schema design, horizontal scalability, and fast data ingestion. While NoSQL databases are an unquestioned market success, they are not a silver bullet. Businesses handling mission-critical, high-velocity…
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4 min read
Understanding Volt Active Stream Processing
Read more: Understanding Volt Active Stream ProcessingProcessing data streams in real time has become essential for modern businesses. The rapid increase in data generation and the demand for immediate decision-making have rendered traditional batch processing inadequate. Simply collecting and analyzing data after the fact is no longer enough—companies…
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4 min read
When Does Streaming Data Become Real-Time Data?
Read more: When Does Streaming Data Become Real-Time Data?We’ve been hearing a lot about real-time data platforms and also about streaming data and streaming data-enabling messaging technology such as Apache Kafka. The idea is to turn your streaming data into real-time data by using it while it still has value.…
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4 min read
Why Streaming Data Platforms Need True Real-Time Decisioning
Read more: Why Streaming Data Platforms Need True Real-Time DecisioningSimply put: in the year 2023 and for the foreseeable future, businesses need to be able to process and analyze data in real time to remain competitive. Streaming data platforms such as Google Cloud Platform, Microsoft Azure, Databricks, Snowflake, AWS Kinesis, and…
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4 min read
What is Streaming Data?
Read more: What is Streaming Data?Streaming data is data that flows in continuously from highly distributed sources. These data streams are constantly feeding data that data platforms can use or act upon dynamically and in real time, without the need to download or batch it first. Data streams…
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4 min read
Volt Active Data Announces v9.0
Read more: Volt Active Data Announces v9.0We are hard at work on Volt Active Data and are pleased to release V9. This release focuses on new ways to work with the torrents of streaming data that Volt Active Data can ingest, making Volt Active Data the best technology…
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