Camunda and Temporal are prominent players in the workflow automation and business process management sector. Temporal appears to have the upper hand with its focus on simplifying complex workflows and handling distributed transactions, enhancing developer convenience.
Features: Camunda boasts lightweight architecture, compliance with BPMN standards, and open-source access, providing flexibility for developers. Its active community and robust Java integration also stand out. Temporal caters significantly to developers with features focused on distributed transactions and durable application state, making it ideal for long-running workflows and microservices environments. Its abilities in retry mechanisms and fault tolerance are also noteworthy, particularly for simplifying complex workflow management.
Room for Improvement: Camunda could improve its UI/UX, integration support, and documentation. Expanding community support and flexible licensing are additional areas to focus on. Temporal's documentation and visualization tools could be more beginner-friendly, with potential enhancements to dashboard features. Further educational resources and improvements in data management and authentication for on-premise setups are needed for Temporal.
Ease of Deployment and Customer Service: Camunda supports multiple deployment models, including on-premises and cloud environments, yet faces performance and integration challenges. Its technical support is mixed, highlighting the need for improved sales support. Temporal offers open-source deployment with effective direct technical support but has limitations in advanced integration and configuration options.
Pricing and ROI: Camunda's open-source model is cost-effective for startups, but its enterprise edition could pose scalability challenges. While Temporal's open-source nature leads to cost savings in self-managed settings, infrastructure costs might increase with complexity. Both platforms promise quick ROI through enhanced process management; however, cost management remains a critical factor in scaling.
The ROI is apparent in terms of business case automation; previously, a bunch of people filled in data in NetSuite or managed stocks between warehouses and Amazon, but now everything is automated, saving time.
AWS provides the best support, followed by Microsoft, and then Google.
They provide better support for the enterprise edition.
Camunda offers a high level of scalability, especially when using its SaaS model, which manages and scales implementations automatically.
It allows for easy scaling, especially with ECS service configurations.
There haven't been any significant outages in my experience with Camunda.
There is an issue where, in some situations, I need to scale up by observing both CPU and memory usage of containers, yet under the current options available at Amazon, this is not possible.
More open documentation would be beneficial to understand the deployment process better and facilitate easier setup.
AWS pricing is very competitive compared to Azure and cheap compared to Google.
There is a licensing cost for using the SaaS model and Enterprise edition of Camunda.
ECS also allows for horizontal scalability with thresholds that can be configured for CPU or memory.
The biggest difference between Camunda and Bonita might be that Camunda is simpler and more flexible for setting.
The deployment process is quite straightforward as it provides both Kubernetes and Docker Compose versions, allowing us to run it in ECS containers.
Camunda drives business process automation and AI orchestration, enhancing efficiency and innovation without compromising security and governance. Trusted by major brands like Atlassian, it seamlessly integrates systems and human tasks for impactful digital transformation.
Camunda is renowned for fostering collaboration between business and IT, empowering over 700 organizations across diverse sectors to manage and improve business-critical processes. With its flexible architecture, Camunda supports BPMN, CMMN, and DMN standards, allowing for efficient modeling and smooth integration with environments via REST APIs. This open-source platform offers extensive customization and combines enterprise features such as process history tracking and decision table editing, supporting both technical and non-technical users in achieving efficient automation strategies. While performance and scalability issues exist, especially in the cloud, Camunda remains a top choice for companies like ING and Vodafone.
What are Camunda's standout features?In sectors like banking and government, Camunda's fast prototyping and workflow automation capabilities optimize processes such as client onboarding and investment banking workflows. It enhances social governance tasks, credit flows, and enterprise integration, while also being used in insurance and telecom for automating repetitive tasks and improving efficiency. Organizations utilize Camunda for training and service management, showcasing its versatility across industries.
Temporal automates and manages workflows efficiently, offering resilience in distributed systems with features like retry and fault tolerance. Its capabilities in handling complex workflows and integrating with programming languages make it a valuable tool for managing diverse business logic.
Temporal excels in workflow orchestration, automating tasks across multiple platforms, and ensuring durability in asynchronous operations. It supports long-running workflows and simplifies handling distributed transactions, reducing boilerplate code. Temporal is noted for its durable execution and built-in retry policies, enhancing resilience. Despite its complexity and steep learning curve, it is valued for its integration with popular programming languages and relatively easy setup process, though it requires improvements in user-friendly features, documentation, community support, and security.
What are Temporal's key features?Temporal is implemented in sectors requiring robust workflow orchestration, such as managing data pipelines, API integration, and scheduling tasks. Organizations in a Kubernetes environment leverage it for its scalability and infrastructure management capabilities, securing integrations and enhancing reliability across IT operations.
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