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What is WarpStream?

WarpStream is a cutting-edge data streaming service that seamlessly integrates with Apache Kafka, utilizing object storage to remove the costs associated with inter-AZ networking and disk management, while also providing limitless scalability within your VPC. The installation of WarpStream relies on a stateless, auto-scaling agent binary that functions independently of local disk management requirements. This novel method enables agents to transmit data directly to and from object storage, effectively sidestepping local disk buffering and mitigating any issues related to data tiering. Users have the option to effortlessly establish new "virtual clusters" via our control plane, which can cater to different environments, teams, or projects without the complexities tied to dedicated infrastructure. With its flawless protocol compatibility with Apache Kafka, WarpStream enables you to maintain the use of your favorite tools and software without necessitating application rewrites or proprietary SDKs. By simply modifying the URL in your Kafka client library, you can start streaming right away, ensuring that you no longer need to choose between reliability and cost-effectiveness. This adaptability not only enhances operational efficiency but also cultivates a space where creativity and innovation can flourish without the limitations imposed by conventional infrastructure. Ultimately, WarpStream empowers businesses to fully leverage their data while maintaining optimal performance and flexibility.

What is SQLstream?

In the realm of IoT stream processing and analytics, SQLstream has been recognized as the leading solution by ABI Research. Our technology, utilized by major corporations such as Verizon, Walmart, Cisco, and Amazon, facilitates applications across various environments, including on-premises, cloud, and edge computing. SQLstream's capabilities allow for the generation of urgent alerts, dynamic dashboards, and immediate responses with latency measured in sub-milliseconds. This enables smart cities to efficiently redirect emergency services and optimize traffic signal operations based on current conditions. Additionally, security frameworks can swiftly identify and neutralize cyber threats, ensuring safety and integrity. Furthermore, AI and machine learning models, developed using streaming sensor inputs, are capable of forecasting potential equipment malfunctions. Due to SQLstream's remarkable speed — accommodating up to 13 million rows per second for each CPU core — organizations have significantly minimized their operational costs and physical infrastructure. Our advanced in-memory processing fosters capabilities at the edge that would typically be unfeasible. Users can acquire, prepare, analyze, and take action on data across various formats and sources seamlessly. With StreamLab, our user-friendly, low-code development environment, creating data pipelines becomes a task that can be accomplished in minutes rather than months. Instant script editing and real-time result visualization without the need for compilation streamline the development process further. Deployment is made easier with robust support for Kubernetes, simplifying integration into existing workflows. The installation process is user-friendly and compatible with a variety of platforms, including Docker, AWS, Azure, Linux, VMWare, and others, ensuring flexibility for diverse operational needs.