Apache Kafka®️ 비용 절감 방법 및 최적의 비용 설계 안내 웨비나 | 자세히 알아보려면 지금 등록하세요
CLOUD-NATIVE DATA STREAMING
Data Streaming Turns Data at Rest into Data in Motion
From event-driven architectures to real-time analytics and AI, everything you build starts here.
Data streaming moves high-throughput, low-latency data between systems in real-time. Confluent’s CEO, Jay Kreps, co-created Apache Kafka®—the open source standard for data streaming.
Today, thousands of startups and enterprises trust Confluent instead of managing Kafka. Our cloud-native Kafka engine, KORA autoscales GBps+ workloads 10x faster with 10x lower tail latencies––and a 99.99% SLA.
Access Events as They Happen
With data streaming, you don’t operate brittle point-to-point pipelines. Instead, every event—like a click, transaction, sensor reading, or database update—is written to a shared append-only log.
Confluent streams data for any use case:
Cluster options
Optimize your resources at the lowest cost, with pay-as-you-go pricing
Cluster linking
Automatically syncs data across global architectures within your private network
Enterprise security
Includes RBAC, encryption in transit and at rest, and BYOK
1800+ certifications
Include SOC 2 Type II, PCI DSS Level 1, HIPAA, and FedRAMP Moderate
Decouple Data Producers and Consumers
Any number of data producers can write events to a shared log, and any number of consumers can read those events independently and in parallel. You can add, evolve, recover, and scale producers or consumers—without dependencies.
Confluent integrates your legacy and modern systems:
Client libraries
Deploy a sample client app in minutes using your preferred language
Pre-built connectors
Avoid 3-6 engineering months of designing, building, and testing each connector
Fully managed connectors
Launch in minutes without operational overhead, reducing your total cost of ownership
Custom connectors
Build your own integrations and let us manage the Connect infrastructure
Use High Quality Data Everywhere
Once events are in the stream, they’re organized into logical topics like "orders" or "payments”. Applications, analytics, and AI all access these topics as a shared source of record.
Confluent enriches your data as it’s created—not after its batched:
Stream processing
Filters, transforms, and joins each event in real-time using SQL
Data contracts
Enforce schema and semantic validation before bad data enters the system
Stream catalog
Organizes topics for self-service enrichment and access through a UI or APIs
Tableflow
Represents topics in open table formats such as Apache Iceberg® and Delta Lake
"Confluent는 미션 크리티컬 사용 사례를 실행하기 위해 필요한 모든 엔터프라이즈급 기능을 갖춘 완벽한 엔드 투 엔드 데이터 스트리밍 플랫폼을 제공합니다.지난 2년 동안 Apache Kafka 배포를 위한 시장 출시 시간을 8~9개월 앞당길 수 있었다고 추정합니다."
"Kafka Cluster 스핀업 및 프로토타입의 매우 빠른 가동 등 여러 부분에서 도움을 받고 있습니다. 기본적인 상태의 오픈 소스 Kafka에서 수행한다면 우리 팀이 이러한 종류의 작업을 수행하는 데 많은 시간이 필요할 수도 있습니다. Confluent와의 협력 덕분에 가능해진거라 생각합니다."
Confluent Cloud 덕분에 제한된 인력으로도 긴박한 서비스 출시 시한을 맞출 수 있었습니다. 이벤트 스트리밍을 관리형 서비스로 사용했기 때문에 클러스터를 유지하는 데 필요한 직원을 새로 채용할 필요도 없었고, 24시간 안정성에 대해 걱정할 필요가 없었습니다.
“Confluent는 Apache Kafka를 활용하여 운영 투명성을 개선하고 시기적절한 데이터 기반 의사 결정을 내리는데 핵심 요소 역할을 하고 있습니다. 우리는 비즈니스 흐름 모니터링, 대출 승인 속도 향상, 보다 정확하고 시기적절한 부정 행위 분석 등에서 확인할 수 있었던 개선 사항에 만족하고 있습니다."
“저희는 Kafka의 모든 관리 부담을 덜면서 Kafka의 모든 이점을 계속 누릴 수는 없는지 궁금해하고 있었습니다.바로 그때 Confluent가 등장했죠."
"우리는 스타트업이 아니지만 오픈소스를 좋아합니다. 세계적 수준을 자랑하는 조직과 협력하는 대규모 금융 기관이기 때문에 특정 시간에 관계없이 잘 운영되는 서비스가 필요합니다. Confluent는 매우 안정적이라서 결코 다운되지 않으며 저희 회사에서 빼놓을 수 없는 자산이 되었습니다.”
"확장이 우리의 성장을 발목 잡고 있었습니다. 하지만 Confluent 덕분에 손쉽게 아키텍처를 재설계하고 실시간 데이터를 활용하여 모두에게 더 빈틈없는 경험을 제공할 수 있었습니다."
Deployment Options
Confluent can be deployed across multi-cloud, hybrid, edge, and on-premises environments at a cost less than open-source Kafka and your favorite hyperscaler.
신규 개발자는 첫 30일 동안 $400 상당의 크레딧을 받습니다(영업 담당자 불필요).
Confluent가 다음에 필요한 모든 것을 제공합니다.
- Java, Python 같은 언어를 위한 클라이언트 라이브러리, 샘플 코드, 120개 이상의 사전 구축된 커넥터, Visual Studio Code 확장 프로그램을 사용하여 빌드
- 주문형 학습과정, 증명서, 글로벌 전문가 커뮤니티에서 학습
- CLI, Terraform 및 Pulumi에 대한 IaC 지원, OpenTelemetry 관측 가능성을 가지고 운영
아래에서 클라우드 마켓플레이스 계정으로 가입하거나 Confluent에 직접 가입하세요.
Confluent Cloud
Apache Kafka®를 위한<br />클라우드-네이티브 서비스
Data Streaming With Confluent | FAQS
How does data streaming work on Confluent?
Both Confluent Cloud and Confluent Platform are powered by enterprise distributed Kafka rearchitected for cloud-native scalability that is faster, most cost-efficient, and more resilient. Confluent Cloud specifically is powered by Kora, a cloud-native Kafka engine that allows us to pass on significant savings to our customers—including up to 20-90%+ throughput savings with our autoscaling Standard, Enterprise, and Freight clusters.
Who are Confluent’s cloud-native data streaming capabilities for?
Using Confluent for data streaming is a solid choice for any organization that wants to modernize its data architecture, build event-driven applications, leverage real-time data for analytics and AI, and solve data integrity challenges that come with traditional, batch-based ETL.
How is data streaming different from traditional APIs?
Traditional APIs typically use a request-response model, where a client requests data from a server. Data streaming uses a publish-subscribe model, where producers publish events to a shared log, and any number of consumers can access those events independently. This decoupling is fundamental to modern, scalable architectures.
What types of applications benefit from Confluent’s cloud-native data streaming?
A wide range of applications benefit, including applications for streaming analytics, event-driven generative AI, and multi-agent systems. Any application that needs to react to events instantly or needs highly trustworthy data for mission-critical use cases like from fraud detection and cybersecurity can benefit from leveraging cloud-native data streaming on Confluent.
What data formats and integrations are supported on Confluent?
Confluent supports industry-standard data formats like Avro, Protobuf, and JSON Schema through Schema Registry, part of Stream Quality in Stream Governance (Confluent’s fully managed governance suite). This allows users to integrate with hundreds of systems via our portfolio of 120+ pre-built connectors for sources and sinks like databases, data warehouses, and cloud services.
Can I use Confluent’s data streaming platform with my existing Kafka topics?
Yes, Confluent is 100% compatible with Apache Kafka®. Tools like Cluster Linking enable you to create reliable, real-time replicas of your existing Kafka data and metadata in Confluent and can also be used to migrate your Kafka workloads without downtime.
Is Confluent’s data streaming engine secure and scalable?
Yes. Confluent Cloud's cloud-native Kora engine is designed for massive scale and resilience. It can handle GBps+ workloads, scale 10x faster than traditional Kafka, and is backed by a 99.99% uptime SLA. Confluent Platform also runs on a cloud-native distribution of Kafka and provides features for easier self-managed scaling, including Confluent for Kubernetes and Ansible playbooks. For security, Confluent provides enterprise-grade features and holds numerous compliance certifications including SOC 2, ISO 27001, and PCI DSS across deployment options.
How do I get started with streaming data on Confluent?
New users receive $400 in credits to start building immediately. Simply sign up, activate your account, and you’ll be walked through how to launch your first cluster, connect a data source, and use Schema Registry on Confluent Cloud. We also recommend exploring our Demo Center and resources on Confluent Developer as you get started.
Does streaming data on Confluent require Apache Flink® or ksqlDB?
No. While Confluent offers a fully managed service for Apache Flink® for powerful stream processing, it is not required for the core data streaming capability. You can stream data directly from producers to any number of consumers without using an integrated processing layer.