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Go to:A key challenge for any database, whether distributed or not, is the constant movement of data between a hard disk and system memory (RAM). This data transfer is often the source of significant performance overhead, as the speed difference between these two types of storage can be dramatic. In an ideal scenario, all operational data…
Until recently, pure vector databases like Pinecone, Milvus, and Zilliz were all the rage. These databases emerged to meet a critical need: Large Language Models (LLMs) often require information beyond their training data to answer user questions accurately. This process, known as Retrieval Augmented Generation (RAG), addresses that need by fetching relevant text based information…
With Rockset being sunsetted by September 30th, many of its customers are left in the lurch, seeking a reliable alternative for their real-time data analytics needs. Kinetica stands out as the optimal choice, engineered specifically for real-time data analytics. Why Choose Kinetica for Your Rockset Migration? Kinetica leverages GPU acceleration to ingest millions of records…
The release of ChatGPT marked a significant shift in how people interact with technology by introducing a conversational mode of inquiry using natural language to surface insights. This trend is now extending to enterprise analytics, as evidenced by OpenAI’s acquisition of Rockset. The trend is clear: traditional BI tools and data science languages are giving…
Imagine waking up one morning to find that your local gas station has run dry, leaving you stranded without fuel. This was the harsh reality for millions of Americans in May 2021, when the Colonial Pipeline ransomware attack disrupted the fuel supply across the Eastern United States. DarkSide, a group of hackers, infiltrated the pipeline’s systems, causing widespread panic and fuel shortages. This incident highlights the growing vulnerability of our energy infrastructure to cyberattacks.