Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics.
The Apache community provides support for the open-source version.
There is plenty of community support available online.
The Salesforce team offers different levels of support.
The support team is responsive and helpful.
Customers have not faced issues with user growth or data streaming needs.
MuleSoft Anypoint Platform is quite scalable, and it meets our use cases with no issues preventing implementation.
MuleSoft provides the ability to scale, yet it is costly to do so.
Most of our functions or jobs are queued due to that.
Apache Kafka is stable.
Partitioning helps us distribute all the messages that we receive between all partitions, which helps us to be stable.
I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.
The performance angle is critical, and while it works in milliseconds, the goal is to move towards microseconds.
I would appreciate having some kind of UI integrated into Apache Kafka for connecting to it because using code to connect it is basic, but we can use a UI.
A more user-friendly interface and better management consoles with improved documentation could be beneficial.
MuleSoft is considered expensive, so pricing is a major concern.
Currently, it uses other standards, but adopting OpenAPI, the standard in the market, would be beneficial.
When dealing with multiple transactions or trading, the system can lose control, and tracking becomes hectic.
The open-source version of Apache Kafka results in minimal costs, mainly linked to accessing documentation and limited support.
Its pricing is reasonable.
I do not know the specific costs, but given that it is part of MuleSoft, I suspect it is not cheap.
MuleSoft is considered one of the more expensive products in the market.
The platform reduces manual workload in maintaining infrastructure, but it does come with some cost considerations.
Apache Kafka is effective when dealing with large volumes of data flowing at high speeds, requiring real-time processing.
The impact of Apache Kafka's scalability features on my organization and data processing capabilities depends on how many messages each company wants to receive.
It allows the use of data in motion, allowing data to propagate from one source to another while it is in motion.
MuleSoft Anypoint Platform helps to standardize data integration approaches, making it easier to implement integration projects.
The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API.
The platform is integrated with Salesforce, making it preferable when using Salesforce products.
The product is not complex; I do not have to create stored procedures, functions, or views.
Apache Kafka is an open-source distributed streaming platform that serves as a central hub for handling real-time data streams. It allows efficient publishing, subscribing, and processing of data from various sources like applications, servers, and sensors.
Kafka's core benefits include high scalability for big data pipelines, fault tolerance ensuring continuous operation despite node failures, low latency for real-time applications, and decoupling of data producers from consumers.
Key features include topics for organizing data streams, producers for publishing data, consumers for subscribing to data, brokers for managing clusters, and connectors for easy integration with various data sources.
Large organizations use Kafka for real-time analytics, log aggregation, fraud detection, IoT data processing, and facilitating communication between microservices.
MuleSoft Anypoint Platform is used for integration and API management, connecting enterprise applications across retail, e-commerce, and supply chain. It supports cloud-to-cloud and cloud-to-on-premises scenarios with real-time and asynchronous messaging.
Users leverage MuleSoft Anypoint Platform for diverse integrations including cloud-based and on-premises, enabling data transformations, middleware functions, and hybrid integrations. It seamlessly connects systems like SAP, Salesforce, and Oracle, facilitating data transfers and integrating legacy systems. The platform offers a graphic interface, quick implementation, and a variety of connectors, contributing to its popularity for robust and scalable solutions. Despite its strengths, users seek better technical support, more connectors, simplified runtime management, and improved documentation.
What are the key features of MuleSoft Anypoint Platform?Enterprises in retail, e-commerce, and supply chain implement MuleSoft Anypoint Platform to connect various applications and systems. It supports real-time messaging for inventory management, synchronizes customer data across platforms, and integrates with legacy systems for smooth data migration. Users benefit from quick deployments and a marketplace that accelerates integration projects.
VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.
