403
Sorry!!
Error! We're sorry, but the page you were
looking for doesn't exist.
Launchdarkly Acquires AI Warehouse-Native Analytics Pioneer Houseware To Transform Software Delivery Processes
(MENAFN- ForPressRelease)
Bengaluru, 14 February 2025: LaunchDarkly, the California-based leading platform for feature management, announced its acquisition of Houseware, a leader in warehouse-native product analytics and winner of the 2022 Snowflake Startup Challenge. The combined offering of product expertise from Houseware with the LaunchDarkly experimentation capabilities will empower customers to transform their data warehouses into engines of actionable insights by breaking down silos, supercharging insights discovery, and driving measurable business outcomes at scale.
Serving over 5,500 enterprises including a quarter of the Fortune 500, LaunchDarkly is trusted around the globe to deliver exceptional customer experiences and empower teams with modern software delivery tools. The acquisition aligns with the company's vision of a single platform bringing together feature management, experimentation and product analytics to help teams optimize every feature release with precision. As part of this integration, the existing Houseware team based in India will play a key role in building warehouse-native product analytics that works in tandem with LaunchDarkly's feature management and experimentation capabilities.
Commenting on the acquisition Dan Rogers, CEO of LaunchDarkly, "With organizations looking to make a greater business impact through new features, it's now more crucial than ever to not only control these feature releases but also to measure and experiment with them to determine the best ROI. Our integration with Snowflake, combined with the product analytics expertise brought by our acquisition of Houseware, elevates our ability to deliver actionable insights and transform software delivery practices for engineering, product and data teams alike."
According to the latest industry reports on the global Product Analytics Market size was worth around $9.6 billion in 2021 and is anticipated to reach a market value of $25.3 billion by the end of 2026. This acquisition will equip Launch Darkly to tap into this rapidly growing market and offer a cutting-edge integrated platform with new-age features with a keen focus on ROI. Houseware's India Tech Hub and LaunchDarkly team will work to measure and experiment with creating these new features to deliver the best ROI.
In addition, LaunchDarkly also recently announced the private preview of Warehouse Native Experimentation, its Snowflake Native App, to offer Data Warehouse Native Experimentation. Currently in private preview, LaunchDarkly is leveraging the Snowflake Native App framework to integrate its advanced experimentation capabilities within the robust Snowflake data environment, enhancing data governance, scalability, and flexibility.
About LaunchDarkly:
LaunchDarkly is a comprehensive feature management platform that equips software teams to proactively reduce the risk of shipping bad software and AI applications while accelerating their release velocity. By progressively rolling out features, monitoring critical metrics in real-time, instantly rolling back flawed code, easily conducting targeted experiments, and quickly iterating on AI prompts and models, development teams can ship innovation consistently and confidently. Serving over 5,000 of the most innovative enterprises, including a quarter of the Fortune 500, LaunchDarkly is trusted around the globe to deliver exceptional customer experiences and maximize business outcomes.
About Houseware
Houseware is a pioneer in warehouse-native Product Analytics, empowering teams to derive actionable insights from large-scale behavioral data. Founded in late 2021 by Divyansh Saini and Shubhankar Srivastava, Houseware emerged from their first-hand experience managing complex data systems at Atlan and Flipkart. In 2022, the company won the Snowflake Startup Challenge, outperforming 300+ startups from over 70 countries. For more information, visit houseware.
Houseware won the 2022 Snowflake Startup Challenge at the Snowflake Summit in Las Vegas, Nevada, competing amongst 300+ other startups
Serving over 5,500 enterprises including a quarter of the Fortune 500, LaunchDarkly is trusted around the globe to deliver exceptional customer experiences and empower teams with modern software delivery tools. The acquisition aligns with the company's vision of a single platform bringing together feature management, experimentation and product analytics to help teams optimize every feature release with precision. As part of this integration, the existing Houseware team based in India will play a key role in building warehouse-native product analytics that works in tandem with LaunchDarkly's feature management and experimentation capabilities.
Commenting on the acquisition Dan Rogers, CEO of LaunchDarkly, "With organizations looking to make a greater business impact through new features, it's now more crucial than ever to not only control these feature releases but also to measure and experiment with them to determine the best ROI. Our integration with Snowflake, combined with the product analytics expertise brought by our acquisition of Houseware, elevates our ability to deliver actionable insights and transform software delivery practices for engineering, product and data teams alike."
According to the latest industry reports on the global Product Analytics Market size was worth around $9.6 billion in 2021 and is anticipated to reach a market value of $25.3 billion by the end of 2026. This acquisition will equip Launch Darkly to tap into this rapidly growing market and offer a cutting-edge integrated platform with new-age features with a keen focus on ROI. Houseware's India Tech Hub and LaunchDarkly team will work to measure and experiment with creating these new features to deliver the best ROI.
In addition, LaunchDarkly also recently announced the private preview of Warehouse Native Experimentation, its Snowflake Native App, to offer Data Warehouse Native Experimentation. Currently in private preview, LaunchDarkly is leveraging the Snowflake Native App framework to integrate its advanced experimentation capabilities within the robust Snowflake data environment, enhancing data governance, scalability, and flexibility.
About LaunchDarkly:
LaunchDarkly is a comprehensive feature management platform that equips software teams to proactively reduce the risk of shipping bad software and AI applications while accelerating their release velocity. By progressively rolling out features, monitoring critical metrics in real-time, instantly rolling back flawed code, easily conducting targeted experiments, and quickly iterating on AI prompts and models, development teams can ship innovation consistently and confidently. Serving over 5,000 of the most innovative enterprises, including a quarter of the Fortune 500, LaunchDarkly is trusted around the globe to deliver exceptional customer experiences and maximize business outcomes.
About Houseware
Houseware is a pioneer in warehouse-native Product Analytics, empowering teams to derive actionable insights from large-scale behavioral data. Founded in late 2021 by Divyansh Saini and Shubhankar Srivastava, Houseware emerged from their first-hand experience managing complex data systems at Atlan and Flipkart. In 2022, the company won the Snowflake Startup Challenge, outperforming 300+ startups from over 70 countries. For more information, visit houseware.
Houseware won the 2022 Snowflake Startup Challenge at the Snowflake Summit in Las Vegas, Nevada, competing amongst 300+ other startups
Company :-Verbly Integrated Communications
User :- Mohamed Rizwan H
Email :...
Legal Disclaimer:
MENAFN provides the information “as is” without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the provider above.
Comments
No comment