If you are considering Azure Logic Apps, you may also want to investigate similar alternatives or competitors to find the best solution. iPaaS Software is a widely used technology, and many people are seeking secure, popular software solutions with security standards, reusable connectors, and hybrid. Other important factors to consider when researching alternatives to Azure Logic Apps include integration. The best overall Azure Logic Apps alternative is MuleSoft Anypoint Platform. Other similar apps like Azure Logic Apps are Zapier, Workato, Boomi, and n8n. Azure Logic Apps alternatives can be found in iPaaS Software but may also be in Event Stream Processing Software.
Anypoint Platform™ is a complete platform that lets companies realize business transformation through API-led connectivity. It is is a unified, flexible integration platform that solves the most challenging connectivity problems across SOA, SaaS and APIs.
Zapier enables you to automate tasks between other online services (services like Salesforce, Basecamp, and Gmail). Connect hundreds of best-in-breed SaaS apps.
The only intelligent automation platform that enables both business users and IT to build, operate and rollout app and data integration, process and workflow automation, in a single platform - without compromising security and governance.
Free node based Workflow Automation Tool. Easily automate tasks across different services. It can be easily extended and self-hosted.
Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries. Key Features and Functionality: - High Throughput and Low Latency: Kafka delivers messages at network-limited throughput with latencies as low as 2 milliseconds, ensuring efficient data processing. - Scalability: It can scale production clusters up to thousands of brokers, handling trillions of messages per day and petabytes of data, while elastically expanding and contracting storage and processing capabilities. - Durable Storage: Kafka stores streams of data safely in a distributed, durable, and fault-tolerant cluster, ensuring data integrity and availability. - High Availability: The platform supports efficient stretching of clusters over availability zones and connects separate clusters across geographic regions, enhancing resilience. - Stream Processing: Kafka provides built-in stream processing capabilities through the Kafka Streams API, allowing for operations like joins, aggregations, filters, and transformations with event-time processing and exactly-once semantics. - Connectivity: With Kafka Connect, it integrates seamlessly with hundreds of event sources and sinks, including databases, messaging systems, and cloud storage services. Primary Value and Solutions Provided: Apache Kafka addresses the challenges of managing real-time data streams by offering a unified platform that combines messaging, storage, and stream processing. It enables organizations to: - Build Real-Time Data Pipelines: Facilitate the continuous flow of data between systems, ensuring timely and reliable data delivery. - Implement Streaming Analytics: Analyze and process data streams in real-time, allowing for immediate insights and actions. - Ensure Data Integration: Seamlessly connect various data sources and sinks, promoting a cohesive data ecosystem. - Support Mission-Critical Applications: Provide a robust and fault-tolerant infrastructure capable of handling high-volume and high-velocity data, essential for critical business operations. By leveraging Kafka's capabilities, organizations can modernize their data architectures, enhance operational efficiency, and drive innovation through real-time data processing and analytics.
Data & application integration suite providing business users a quick, cost-effective and simple way to design, deploy and manage a broad range of integrations.
IBM App Connect is a multi-tenant, cloud-based platform for rapidly integrating cloud applications, on-premises applications and enterprise systems in a hybrid environment using a “configuration, not coding” approach.
Oracle Integration Cloud eliminates barriers between business applications through a combination of machine learning, embedded best-practice guidance, prebuilt integration, and process automation.
Make is a visual platform for anyone to design, build, and automate anything—from tasks and workflows to apps and systems—without coding. Whether you’re integrating sales and marketing tools, automating a customer journey, improving business operations, or building a custom back-end system—creating on Make is powerful, intuitive, and playful.