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KX and Microsoft have joined forces to deliver the fastest, most efficient time-series analytics engine in the cloud. No delays, no data duplication – just the most productive time-series analytics and the agility and scalability of the Azure ecosystem.
Rapidly deploy your time-series applications directly to your data, in the cloud, on-prem, or at the edge. Aggregate data fast, develop powerful models in your preferred environment, visualize output flexibly, and implement in production with kdb Insights on Microsoft Azure.
Watch now to learn how easy it is to use kdb Insights Enterprise, the world’s first data timehouse, on Microsoft Azure.
Get productive. Kdb Insights Enterprise on Azure is the fastest, most cost-efficient time-series data analytics solution – and is available on the Azure Marketplace. Now, data scientists, quants, and engineers build better-performing models that can run in production – within minutes.
Deliver more. Kdb Insights Enterprise on Azure helps businesses worldwide deliver more insight, from more data, faster, for a fraction of the cost. That helps deliver more alpha, greater yields, larger volumes, more comprehensive models, or less risk.
Drive agility. Kdb Insights Enterprise on Azure helps accommodate burst processing for those ultra-busy occasions; incorporates into CI/CD, DevOps, and MLOps pipelines for faster rollouts; and integrates with Azure’s storage, security, ingestion, visualization, and reporting tools.
Get productive. Kdb Insights Enterprise on Azure is the fastest, most cost-efficient time-series data analytics solution – and is available on the Azure Marketplace. Now, data scientists, quants, and engineers build better-performing models that can run in production – within minutes.
Deliver more. Kdb Insights Enterprise on Azure helps businesses worldwide deliver more insight, from more data, faster, for a fraction of the cost. That helps deliver more alpha, greater yields, larger volumes, more comprehensive models, or less risk.
Drive agility. Kdb Insights Enterprise on Azure helps accommodate burst processing for those ultra-busy occasions; incorporates into CI/CD, DevOps, and MLOps pipelines for faster rollouts; and integrates with Azure’s storage, security, ingestion, visualization, and reporting tools.
Unlike cloud data warehouses, take your time-series analytics directly to the data, wherever it resides. No need for expensive big data duplication.
Query time-series data sets better with KX Insights on Azure which is developed uniquely for time series, meaning you harness so much more power with less compute and memory. Using SQL or Python? Incorporate and augment your existing knowledge and tools and take advantage of native functions in q to invoke new time-series superpowers.
With KX Insights on Azure, bring terabyte workloads to your Jupyter Notebooks and Python code today.
Workloads driven by KX are unsurpassed by any other platform. Leverage those workloads today. Ensure your key architecture’s resilience and redundancy with more convenience and less cost on the Azure Cloud.
A cloud vendor saving you compute and memory? Surely not! With KX Insights on Azure built differently to solve time-series problems, improved performance leads to improved efficiency, saving you dollars per vcore on your biggest, data-intensive applications.
Harness the Microsoft technologies your organizations love – for democratized analytics everywhere. Reporting and executive teams love Synapse and PowerBI to consume, visualize and report analytics, while technology teams use Azure DevOps with Kubernetes for faster DevOps.
Get ease of access to enterprise-curated data – both historical and real-time – for consistently accurate and timely reporting. Run analysis easily using Python and SQL, or for ultra-high performance needs the powerful in-built query language, q.
Automate Machine Learning with a wealth of in-built and community machine learning functionality to quickly build predictive models and solve complex problems. With a unified platform that uniquely harnesses the popularity of Python and the power of q, simple, powerful data pipelines improve the time-to-value of your valuable data scientist and quant teams.
Create and share reports showing live data changes. In finance, monitor trade volumes, spreads, liquidity, and market trends; in manufacturing, monitor machinery performance and quality to predict yields and detect failures. Create or modify reports or enable visualization tools like Power BI to output data from KX.
Get ease of access to enterprise-curated data – both historical and real-time – for consistently accurate and timely reporting. Run analysis easily using Python and SQL, or for ultra-high performance needs the powerful in-built query language, q.
Automate Machine Learning with a wealth of in-built and community machine learning functionality to quickly build predictive models and solve complex problems. With a unified platform that uniquely harnesses the popularity of Python and the power of q, simple, powerful data pipelines improve the time-to-value of your valuable data scientist and quant teams.
Create and share reports showing live data changes. In finance, monitor trade volumes, spreads, liquidity, and market trends; in manufacturing, monitor machinery performance and quality to predict yields and detect failures. Create or modify reports or enable visualization tools like Power BI to output data from KX.
This discussion between Vats Vana, Vice President of IoT Strategy & Products at KX, and guest speaker Paul Miller, Vice President, and Principal Analyst at Forrester, covers several topical issues in Manufacturing.
Forrester interviewed four decision-makers with experience using the KX Platform, aggregated the interviewees’ experiences, and combined the results into a single composite organization. These are the findings.
How to prepare for a future of faster and more efficient analytics for optimal trading outcomes. Read on to discover how to prepare yourself for a future of trading analytics and outcomes without compromise.
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