KX, provider of the kdb+ time-series database, Data Timehouse, and KDB.AI vector database, has released a new version of PyKX, its Python first interface to kdb+, with a development-only licence. The release expands the reach of KX technology to the more than 10 million strong Python developer community.
By giving Python developers the ability to accelerate data, math, and analytics intensive applications for real-time insights across all Python workloads, PyKX can streamline traditional data science workflows by bundling advanced connectivity, vector encodings, built in algorithms and powerful data organisational tools that accelerate complex processing at scale while simplifying data exploration. Other use cases include anomaly detection, predictive maintenance, feature engineering, back testing, and quantitative finance.
“We’re on a mission to democratise access to our technologies,” says Ashok Reddy, CEO of KX. “With this release, we’re giving Python developers and data professionals the ability to run analytics and AI workloads on the industry’s fastest time series and vector database using the world’s most popular language and programming environment for data science.”
Kdb+ user Jonny Press, CTO at Data Intellect, comments: “PyKX is a game changer for enterprises looking to put kdb+ alongside Python for developer and data science teams. Many of our clients use the languages in tandem, but the question has always been where the boundary lies, which parts of the workload do you do in kdb+ and when do you shift to Python. With PyKX there is no boundary.”
PyKX is available initially on PyPI, a repository of software for the Python programming language. To get started and learn how Python interoperates with kdb+, a prebuilt Jupyter project hub has been created giving access to a working Jupyter Notebook preloaded with KX software and KX training materials. Users can then download PyKX and use it with an existing kdb+ licence, a free trial, or a kdb+ Insights Personal Edition.
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