Dataplane Integrations

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

Snowflake is a cloud-native data platform that combines data warehousing, data lakes, and data sharing into a single solution. By offering elastic scalability and automatic scaling, Snowflake enables businesses to handle vast amounts of data while maintaining high performance at low cost. The platform's architecture allows users to separate storage and compute, offering flexibility in managing workloads. Snowflake supports real-time data sharing and integrates seamlessly with other analytics tools, enabling teams to collaborate and gain insights from their data more efficiently. Its secure, multi-cloud architecture makes it a strong choice for enterprises looking to leverage data at scale.

Kubernetes (K8s) is a powerful open-source platform designed to automate the deployment, scaling, and management of applications that are containerized. By organizing containers into manageable groups, it simplifies the processes of application management and discovery. Drawing from over 15 years of experience in handling production workloads at Google, Kubernetes also incorporates the best practices and innovative ideas from the wider community. Built on the same foundational principles that enable Google to efficiently manage billions of containers weekly, it allows for scaling without necessitating an increase in operational personnel. Whether you are developing locally or operating a large-scale enterprise, Kubernetes adapts to your needs, providing reliable and seamless application delivery regardless of complexity. Moreover, being open-source, Kubernetes offers the flexibility to leverage on-premises, hybrid, or public cloud environments, facilitating easy migration of workloads to the most suitable infrastructure. This adaptability not only enhances operational efficiency but also empowers organizations to respond swiftly to changing demands in their environments.

Deploy sophisticated applications using a secure and managed Kubernetes platform. GKE serves as a robust solution for running both stateful and stateless containerized applications, accommodating a wide range of needs from AI and ML to various web and backend services, whether they are simple or complex. Take advantage of innovative features, such as four-way auto-scaling and streamlined management processes. Enhance your setup with optimized provisioning for GPUs and TPUs, utilize built-in developer tools, and benefit from multi-cluster support backed by site reliability engineers. Quickly initiate your projects with single-click cluster deployment. Enjoy a highly available control plane with the option for multi-zonal and regional clusters to ensure reliability. Reduce operational burdens through automatic repairs, upgrades, and managed release channels. With security as a priority, the platform includes built-in vulnerability scanning for container images and robust data encryption. Benefit from integrated Cloud Monitoring that provides insights into infrastructure, applications, and Kubernetes-specific metrics, thereby accelerating application development without compromising on security. This comprehensive solution not only enhances efficiency but also fortifies the overall integrity of your deployments.

Kubernetes serves as a powerful foundation for transformative ideas. It enables developers to innovate and deliver projects more rapidly through the premier hybrid cloud and enterprise container solution. Red Hat OpenShift simplifies the process with automated installations, updates, and comprehensive lifecycle management across the entire container ecosystem, encompassing the operating system, Kubernetes, cluster services, and applications on any cloud platform. This service allows teams to operate with speed, flexibility, assurance, and a variety of options. You can code in production mode wherever you prefer to create, enabling a return to meaningful work. Emphasizing security at all stages of the container framework and application lifecycle, Red Hat OpenShift provides robust, long-term enterprise support from a leading contributor to Kubernetes and open-source technology. It is capable of handling the most demanding workloads, including AI/ML, Java, data analytics, databases, and more. Furthermore, it streamlines deployment and lifecycle management through a wide array of technology partners, ensuring that your operational needs are met seamlessly. This integration of capabilities fosters an environment where innovation can thrive without compromise.

Tableau, an industry-leading analytics platform, empowers businesses to make smarter, data-driven decisions with AI-powered insights and advanced data visualization. By leveraging Tableau Next, which integrates seamlessly with Salesforce and Agentforce, users can access intelligent analytics and unlock the full potential of their data. Tableau provides flexible deployment options—whether cloud-based, on-premises, or directly integrated with Salesforce CRM—ensuring organizations can access a comprehensive data management solution. With built-in AI and machine learning capabilities, Tableau helps users uncover patterns, predict outcomes, and improve decision-making at every level of the organization. Its intuitive interface allows analysts, business leaders, and IT teams to explore data, visualize trends, and collaborate efficiently, while fostering a Data Culture that accelerates innovation and enhances operational efficiency.

Amazon Simple Storage Service (Amazon S3) is a versatile object storage solution that provides exceptional scalability, data availability, security, and performance. It accommodates clients from various sectors, enabling them to securely store and manage any volume of data for diverse applications, including data lakes, websites, mobile apps, backups, archiving, enterprise software, IoT devices, and big data analytics. With user-friendly management tools, Amazon S3 allows users to effectively organize their data and set tailored access permissions to satisfy their unique business, organizational, and compliance needs. Offering an impressive durability rate of 99.999999999% (11 nines), it supports millions of applications for businesses globally. Businesses can easily adjust their storage capacity to match changing demands without needing upfront investments or lengthy resource acquisition processes. Furthermore, the high durability ensures that data remains safe and accessible, contributing to operational resilience and peace of mind for organizations.

The easiest cloud platform for developers and teams. DigitalOcean makes it easy to deploy, manage, and scale cloud apps faster and more efficiently. DigitalOcean makes it easy to manage infrastructure for businesses and teams, no matter how many virtual machines you have. DigitalOcean App Platform: Create, deploy, scale and scale apps quickly with a fully managed solution. We will manage the infrastructure, dependencies, and app runtimes so you can quickly push code to production. You can quickly build, deploy, manage, scale, and scale apps using a simple, intuitive, visually rich experience. Apps are automatically secured We manage, renew, and create SSL certificates for you. We also protect your apps against DDoS attacks. We help you focus on the important things: creating amazing apps. We can manage infrastructure, databases, operating systems, applications, runtimes, and other dependencies.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

IBM Cloud® Kubernetes Service offers a certified and managed Kubernetes platform designed for the deployment and management of containerized applications on IBM Cloud®. This service includes features like intelligent scheduling, self-healing capabilities, and horizontal scaling, all while ensuring secure management of the necessary resources for rapid deployment, updating, and scaling of applications. By handling the master management, IBM Cloud Kubernetes Service liberates users from the responsibilities of overseeing the host operating system, the container runtime, and the updates for the Kubernetes version. This allows developers to focus more on building and innovating their applications rather than getting bogged down by infrastructure management. Furthermore, the service’s robust architecture promotes efficient resource utilization, enhancing overall performance and reliability.

TimescaleDB is the most popular open-source relational database that supports time-series data. Fully managed or self-hosted. You can rely on the same PostgreSQL that you love. It has full SQL, rock-solid reliability and a huge ecosystem. Write millions of data points per node. Horizontally scale up to petabytes. Don't worry too much about cardinality. Reduce complexity, ask more questions and build more powerful applications. You will save money with 94-97% compression rates using best-in-class algorithms, and other performance improvements. Modern cloud-native relational database platform that stores time-series data. It is based on PostgreSQL and TimescaleDB. This is the fastest, easiest, and most reliable way to store all of your time-series information. All observability data can be considered time-series data. Time-series problems are those that require efficient solutions to infrastructure and application problems.

The Azure Kubernetes Service (AKS), which is fully managed, simplifies the process of deploying and overseeing containerized applications. It provides serverless Kubernetes capabilities, a seamless CI/CD experience, and robust security and governance features suited for enterprises. By bringing together your development and operations teams on one platform, you can swiftly build, deliver, and expand applications with greater assurance. Additionally, it allows for elastic provisioning of extra resources without the hassle of managing the underlying infrastructure. You can implement event-driven autoscaling and triggers using KEDA. The development process is expedited through Azure Dev Spaces, which integrates with tools like Visual Studio Code, Azure DevOps, and Azure Monitor. Furthermore, it offers sophisticated identity and access management via Azure Active Directory, along with the ability to enforce dynamic rules across various clusters using Azure Policy. Notably, it is accessible in more regions than any competing cloud service provider, enabling wider reach for your applications. This comprehensive platform ensures that businesses can operate efficiently in a highly scalable environment.

The Apache Hadoop software library serves as a framework for the distributed processing of extensive data sets across computer clusters, utilizing straightforward programming models. It is built to scale from individual servers to thousands of machines, each providing local computation and storage capabilities. Instead of depending on hardware for high availability, the library is engineered to identify and manage failures within the application layer, ensuring that a highly available service can run on a cluster of machines that may be susceptible to disruptions. Numerous companies and organizations leverage Hadoop for both research initiatives and production environments. Users are invited to join the Hadoop PoweredBy wiki page to showcase their usage. The latest version, Apache Hadoop 3.3.4, introduces several notable improvements compared to the earlier major release, hadoop-3.2, enhancing its overall performance and functionality. This continuous evolution of Hadoop reflects the growing need for efficient data processing solutions in today's data-driven landscape.