ActiveBatch Workload Automation
ActiveBatch, developed by Redwood, serves as a comprehensive workload automation platform that effectively integrates and automates operations across essential systems such as Informatica, SAP, Oracle, and Microsoft. With features like a low-code Super REST API adapter, an intuitive drag-and-drop workflow designer, and over 100 pre-built job steps and connectors, it is suitable for on-premises, cloud, or hybrid environments.
Users can easily oversee their processes and gain insights through real-time monitoring and tailored alerts sent via email or SMS, ensuring that service level agreements (SLAs) are consistently met. The platform offers exceptional scalability through Managed Smart Queues, which optimize resource allocation for high-volume workloads while minimizing overall process completion times.
ActiveBatch is certified with ISO 27001 and SOC 2, Type II, employs encrypted connections, and is subject to regular evaluations by third-party testers. Additionally, users enjoy the advantages of continuous updates alongside dedicated support from our Customer Success team, who provide 24/7 assistance and on-demand training, thereby facilitating their journey to success and operational excellence. With such robust features and support, ActiveBatch significantly empowers organizations to enhance their automation capabilities.
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AnalyticsCreator
Enhance your data initiatives with AnalyticsCreator, which simplifies the design, development, and implementation of contemporary data architectures, such as dimensional models, data marts, and data vaults, or blends of various modeling strategies.
Easily connect with top-tier platforms including Microsoft Fabric, Power BI, Snowflake, Tableau, and Azure Synapse, among others.
Enjoy a more efficient development process through features like automated documentation, lineage tracking, and adaptive schema evolution, all powered by our advanced metadata engine that facilitates quick prototyping and deployment of analytics and data solutions.
By minimizing tedious manual processes, you can concentrate on deriving insights and achieving business objectives. AnalyticsCreator is designed to accommodate agile methodologies and modern data engineering practices, including continuous integration and continuous delivery (CI/CD).
Allow AnalyticsCreator to manage the intricacies of data modeling and transformation, thus empowering you to fully leverage the capabilities of your data while also enjoying the benefits of increased collaboration and innovation within your team.
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DoubleCloud
Streamline your operations and cut costs by utilizing straightforward open-source solutions to simplify your data pipelines. From the initial stages of data ingestion to final visualization, every element is cohesively integrated, managed entirely, and highly dependable, ensuring that your engineering team finds joy in handling data. You have the choice of using any of DoubleCloud’s managed open-source services or leveraging the full range of the platform’s features, which encompass data storage, orchestration, ELT, and real-time visualization capabilities. We provide top-tier open-source services including ClickHouse, Kafka, and Airflow, which can be deployed on platforms such as Amazon Web Services or Google Cloud. Additionally, our no-code ELT tool facilitates immediate data synchronization across different systems, offering a rapid, serverless solution that meshes seamlessly with your current infrastructure. With our managed open-source data visualization tools, generating real-time visual interpretations of your data through interactive charts and dashboards is a breeze. Our platform is specifically designed to optimize the daily workflows of engineers, making their tasks not only more efficient but also more enjoyable. Ultimately, this emphasis on user-friendliness and convenience is what distinguishes us from competitors in the market. We believe that a better experience leads to greater productivity and innovation within teams.
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Dagster+
Dagster serves as a cloud-native open-source orchestrator that streamlines the entire development lifecycle by offering integrated lineage and observability features, a declarative programming model, and exceptional testability. This platform has become the preferred option for data teams tasked with the creation, deployment, and monitoring of data assets. Utilizing Dagster allows users to concentrate on executing tasks while also pinpointing essential assets to develop through a declarative methodology. By adopting CI/CD best practices from the outset, teams can construct reusable components, identify data quality problems, and detect bugs in the early stages of development, ultimately enhancing the efficiency and reliability of their workflows. Consequently, Dagster empowers teams to maintain a high standard of quality and adaptability throughout the data lifecycle.
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