Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics.
I want to receive good technical support, which I only need once a month or every six months, and the experience has been unsatisfactory.
There is plenty of community support available online.
The Apache community provides support for the open-source version.
I would probably rate the support for MuleSoft Anypoint Platform a nine on a scale from one to ten.
The support team is responsive and helpful.
The Salesforce team offers different levels of support.
Customers have not faced issues with user growth or data streaming needs.
I need to enable my solution with high availability and scalability.
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.
Partitioning helps us distribute all the messages that we receive between all partitions, which helps us to be stable.
Apache Kafka is stable.
Apache Kafka is a mature product and can handle a massive amount of data in real time for data consumption.
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.
MuleSoft is considered one of the more expensive products in the market.
I do not know the specific costs, but given that it is part of MuleSoft, I suspect it is not cheap.
The platform reduces manual workload in maintaining infrastructure, but it does come with some cost considerations.
Apache Kafka is particularly valuable for managing high levels of transactions.
Apache Kafka is effective when dealing with large volumes of data flowing at high speeds, requiring real-time processing.
Apache Kafka acts as a broker and supports my data integration process by sitting in between systems.
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.
| Product | Market Share (%) |
|---|---|
| Apache Kafka | 3.8% |
| Apache Flink | 12.3% |
| Databricks | 10.0% |
| Other | 73.9% |
| Product | Market Share (%) |
|---|---|
| MuleSoft Anypoint Platform | 9.8% |
| IBM Sterling B2B Integration Services | 12.9% |
| SEEBURGER Business Integration Suite | 9.7% |
| Other | 67.6% |
| Company Size | Count |
|---|---|
| Small Business | 32 |
| Midsize Enterprise | 18 |
| Large Enterprise | 49 |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 12 |
| Large Enterprise | 30 |
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 provides API management and integration capabilities with scalability, ensuring seamless connectivity across systems.
MuleSoft Anypoint Platform offers API management and integration capabilities within a user-friendly interface. With a range of connectors and the ability to handle integration patterns, it enables data integration across environments with support for API-led connectivity. High scalability, observability, batch processing, and tooling are key features, enhancing performance while simplifying deployment.
What are the standout features of MuleSoft Anypoint Platform?MuleSoft Anypoint Platform is employed by organizations for API management and seamless integration across systems in industries like retail and e-commerce. It connects enterprise applications in environments such as SAP and Salesforce. Users leverage it for data transformation and synchronization, achieving efficient real-time processing and a middleware layer across systems.
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