Systems | Development | Analytics | API | Testing

Kong Konnect is an API lifecycle management platform streamlining the connectivity between your APIs and microservices. The control plane is hosted in the cloud by Kong and available across the US, EU, and AU, while the data plane is managed by you within your preferred network environment, like Koyeb.

The conversation around data fetching and API management is increasingly dominated by two major players: GraphQL and REST. These technologies, while serving the same purpose of facilitating communication between client and server, offer markedly different approaches and philosophies. GraphQL, emerging as a powerful alternative to the traditional RESTful architecture, brings a new dimension to data retrieval efficiency and flexibility.

Happy holidays from Confluent! It’s that time in the quarter again, when we get to share our latest and greatest features on Confluent Cloud. To start, we’re thrilled to share that Confluent ranked as a leader in The Forrester Wave™: Streaming Data Platforms, Q4 2023, and The Forrester Wave(™): Cloud Data Pipelines, Q4 2023! Forrester strongly endorsed Confluent’s vision to transform data streaming platforms from a “nice-to-have” to a must-have.

We are excited to announce that G2, the world’s biggest and most trustworthy tech marketplace, has continuously acknowledged Katalon as a Leader, Momentum Leader, Easiest To Do Business With, and High Performer in both automation testing and software testing in Winter 2023 with 16 badges! These prestigious awards are prime examples of our strong commitment to establishing innovative solutions and ensuring absolute customer satisfaction.

When businesses share sensitive first-party data with outside partners or customers, they must do so in a way that meets strict governance requirements around security and privacy. Data clean rooms have emerged as the technology to meet this need, enabling interoperability where multiple parties can collaborate on and analyze sensitive data in a governed way without exposing direct access to the underlying data and business logic.

Historically, only a few AI experts within an organization could develop insights using machine learning (ML) and predictive analytics. Yet in this new wave of AI, democratizing ML to more data teams is crucial—and for Snowflake SQL users, it’s now a reality.