Data Leaders Collaborating to Strengthen the Interoperability Between Apache Arrow and DataStax’s Open Data Stack for Real-Time Applications
Today at The Data Thread, Voltron Data, the company accelerating standards in data analytics and the largest corporate contributor to Apache Arrow, and DataStax, the real-time data company, announced a partnership to help organizations accelerate the impact of intelligence from real-time applications. As a result of the partnership, the companies will strengthen the interoperability between Arrow and DataStax’s Astra DB, Astra Streaming and DataStax Enterprise products to improve the quality of real-time data intelligence as well as reduce the time to insights.
“We are excited to be partnering with DataStax. We both believe in a more modular composable future and that starts with open standards. With Arrow-native IO, DataStax users will be able to easily interoperate with numerous data science libraries and projects, removing friction and multiple data copies along the way,” said Josh Patterson, co-founder and CEO of Voltron Data.
“Voltron Data is a world-class team developing the open source standards to drive faster and more accurate insights from data analytics ecosystems,” said Chet Kapoor, DataStax chairman and CEO. “This is an important partnership for developers and enterprises as they build the real-time applications that power successful data-driven businesses.”
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Apache Arrow is an open source multi-language toolbox for accelerated data interchange and in-memory computing. It has become the de facto standard for seamless interoperability between data processing engines, modern computing hardware and programming languages. Arrow has been adopted globally by companies to accelerate data access and analytical processing with more than 54 million downloads a month.
DataStax provides an open data stack for real-time applications that just works. The stack addresses all aspects of real-time data, both “data-at-rest,” with Astra DB built on Apache Cassandra®, and streaming “data-in-motion,” with Astra Streaming built on Apache Pulsar™. DataStax’s open data stack captures, aggregates data from any source and then publishes or exposes it to applications and any other system such as analytical platforms and machine learning models.
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As part of the partnership, Voltron Data and DataStax are bridging the Cassandra and Arrow ecosystems to accelerate real-time applications. Through this engineering collaboration, end-users will be able to build Arrow-native analytics applications on DataStax’s Astra DB, DataStax Enterprise and Astra Streaming easier than before. Together, Voltron Data and DataStax are committed to serving customers and the community with an open data stack for real-time applications. The partnership is designed to deliver significant benefits to users and customers, including:
- Faster access to real-time data for analytics and machine learning systems: Data managed in the DataStax’s stack will become available and ready to use by analytical platforms or machine learning models in the Arrow format, with the scale and low latency DataStax is known for.
- Access to the right data for faster and more relevant insights: Arrow data sets that are based on the potentially large volume of extremely recent data are ideal for driving improved insights and decisions that are accurate and relevant. Analytical platforms can identify any change in the data faster, preventing influencing the wrong decisions downstream. Similarly, machine learning models can learn faster and adapt to any change, driving the right decisions when executed on real-time data.
- Faster distribution of the right intelligence: DataStax’s open data stack can be fueled with Arrow datasets to reduce the time for these insights to be exposed to applications via APIs or pushed to relevant applications via events. Intelligence is not constrained to the analytical and machine learning platforms anymore as it can be accessed by applications, feature stores and more. DataStax’s open stack for real-time data makes this intelligence extremely easy for developers to use in applications via standard APIs.
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