Automation company Zapier announced the acquisition of the no-code education provider Makerpad, a leading content and education platform for learning to build software without code.
“For years, we’ve watched in admiration as Ben pushed the limits on what you could build without ever writing a line of code,” said Wade Foster, the co-founder, and CEO of Zapier. “Zapier will continue to make automation easy, and Makerpad will teach you how to do it. Together we’ll work toward ensuring anyone with a problem or an idea, no matter their technical abilities, can solve it themselves.”
Makerpad has over 320 tutorials that teach tens of thousands of customers to save time and increase efficiency by automating work and building tools without developers.
linear raises $16 million for software delivery intelligence
linear announced $16 million, which brings LinearB’s total funding to $21 million. Linear focuses on helping dev teams continuously accelerate delivery by correlating development pipeline data from code, Git, projects, and releases to provide visibility, context, and workflow automation for every team member, according to the company.
“Metrics alone do not improve dev teams. This is the mistake first-generation engineering efficiency tools made. Software Delivery Intelligence takes visibility and turns it into insight and operational improvement,” said Ori Keren, CEO of Linear. “Helping engineering teams improve and scale is not about strictly managing developers with top-down control. It’s about empowering developers by giving them more context, less bureaucracy, and more time to build.” Splice Machine announced new capabilities to support real-time AI with Version 3.1 of its Scale-Out SQL database.
The new version significantly increases data transparency and is used to create ML models. 3.1 lets developers query the database back in time with AS OF syntax to a specific date and provides a
Splice Machine has also added Spark 3.0 support for its database engine, which adds performance improvements, elasticity support on Kubernetes, GPU support, expansions to Spark’s ML libraries, and more. According to the company, the free and easy-to-launch edition of Kinetica’s premium product gives developers, data engineers, and data architects the ability to develop ideas and small-scale proofs-of-concept without worrying about license expiration.
“Our streaming data warehouse was purpose-built for complex advanced analytics, whether that’s real-time financial portfolio risk analysis, route optimization, and network planning, or monitoring global networks of sensor data to protect the country,” said Tom Addis, the CEO of Kinetica.
Users can access Kinetica’s platform on a single node running Docker with community support.
