Apache Kafka de código abierto es un punto de partida común para casos de uso a gran escala y de baja latencia. La plataforma de streaming de datos de Confluent aprovecha al máximo las capacidades de Kafka para crear aplicaciones en tiempo real y arquitecturas orientadas a eventos, con una facilidad de uso y confiabilidad inigualables.
A continuación, se presentan las principales diferencias entre Confluent y Kafka, así como una comparación completa de las características —incluidas la escalabilidad, la resiliencia, la seguridad y la calidad de los datos.
Apache Kafka is the industry standard for organizations that are looking to become more data-driven and solve complex data streaming challenges. Real-time analytics, fraud detection, AI enablement—data streaming use cases are nearly endless. While the open source project is highly flexible, using it on its own can present a number of challenges and hidden costs.
When an organization chooses to self-manage open source Kafka, it chooses to take on the responsibilities of balancing clusters, monitoring brokers, and managing software upgrades. Additionally, it will need to solve many of the same problems that Confluent has already solved through millions of hours of focused expertise. Confluent's powerful data streaming platform can elevate any Kafka implementation to ensure that data in motion is more reliable, available and secure.
Let’s compare what you get from a self-managed Kafka solution with the added value provided by Confluent's data streaming platform.
| A Self-managed Kafka Platform | Confluent Data Streaming Platform | |
|---|---|---|
| Operational Overhead | Client-server architecture Requires manual cluster management |
Deploy in any environment:
|
| Scalability | Manually provision, configure, and scale Kafka clusters based on expected load | Autoscale clusters up and down from 0 to GBps without over-provisioning infrastructure or introducing risk of an outage Optimize consumption while only paying for what you use |
| Security | Access control lists Limited options for authentication |
e2e encryption or bring your own encryption key RBAC, SAML SSO / OAuth 2.0 authentication |
| Reslience | Self-monitoring for service disruptions and unexpected changes to workloads | Global resilience backed by a 99.99% uptime SLA |
| Cost | Infrastructure, operations, and platform development costs are on the business | Reduced TCO (Total Cost of Ownership) of up to 60% |
| Data Streaming Platform | Self-managed integration and processing with Kafka Connect and Kafka Streams Other data management capabilities need to be built or integrated from an assortment of 3rd party solutions |
Comprehensive platform that offers:
|
| Support | In-house expertise and open source community resources | 24x7 customer support from the world’s foremost Kafka experts with 3 million+ support hours Rich partner ecosystem of Cloud Service Providers (CSPs), Managed Service Providers (MSPs), Systems Integrators and ISVs |
| Data Quality | Bronze and Silver layer data | Bronze, Silver and Gold layer data |
With the Kora engine, we’ve unlocked a new way for you to experience data streaming in the cloud—with seamless scaling, uninterrupted uptime, and no operational tasks or surprises standing between you and your best work.
Confluent engineers have spent millions of hours re-architecting its streaming engine to fully manage your Kafka workloads. The end result? A cloud-native Kafka engine that abstracts away operational complexities to give you:
The Confluent Data Streaming Platform goes beyond simplifying Kafka—it provides all the tools that you need to stream at any scale and connect systems across environments. All while governing and processing data closer to the source enabling you to build data products even better and faster.
Reimagine el streaming de datos en todas partes, en las instalaciones y en las principales nubes públicas
Conéctese a cualquier fuente y destino de datos con 120 o más conectores preintegrados y 80 o más conectores totalmente administrados.
Enriquezca, una y filtre sus datos sin esfuerzo con el procesamiento de flujos nativo de la nube y sin servidor que ofrece Apache Flink®.
Haga que los datos en movimiento sean de autoservicio, seguros, cumplan con las normativas y sean confiables.
The Confluent data streaming platform can be deployed in any environment and in any combination of environments. To meet the demands of the data-driven organization, Confluent has optimized pricing, infrastructure, and security with an extensive set of feature-rich products that are focused on improving the quality and accessibility of your data.
Un servicio nativo de la nube y totalmente administrado que va mucho más allá de Apache Kafka, disponible en AWS, Azure y Google Cloud en más de 60 regiones.
Una distribución completa y de nivel empresarial de Apache Kafka para cargas de trabajo en sus entornos locales y de nube privada.
Un servicio privado completo de streaming de datos, de nivel empresarial, con operaciones nativas de la nube para equipos de plataforma grandes con necesidades exigentes de seguridad y cumplimiento.
Un servicio nativo de streaming de datos compatible con Kafka y con Bring Your Own Cloud (BYOC), de acceso cero y seguro de forma predeterminada, para que sus datos nunca salgan de su entorno.
Conozca los principales factores que impulsan los costos de Kafka y cómo Confluent rediseñó Kafka para ahorrarle tiempo y dinero.
Obtenga más información sobre las funcionalidades que forman parte de la plataforma integral y nativa de la nube de Confluent.
Descubra cómo la migración de Kafka a Confluent le ahorró a BigCommerce 20 horas o más de trabajo operativo a la semana.
Vea cómo McAfee trasladó su arquitectura a una nueva plataforma y aprovechó al máximo Kafka con la plataforma de streaming de datos nativa de la nube de Confluent.











