"We have been very satisfied with Confluent Platform as the backbone of our persistence engine. The platform has been super reliable. We have stringent requirements for real-time performance and reliability, and we have confirmed – from proof-of-concept to deployment of a cutting-edge production trading platform – that we made the right decision.”
Alain Courbebaisse
Chief Information Officer
Euronext
Confluent Platform
UNRESTRICTED DEVELOPER PRODUCTIVITY
- Multi-language Development
- Rich Pre-built Ecosystem
- SQL-based Stream Processing
EFFICENT OPERATIONS AT SCALE
- GUI-driven Mgmt & Monitoring
- Flexible DevOps Automation
- Dynamic Performance & Elasticity
PRODUCTION STAGE PREREQUISITES
- Enterprise-grade Security
- Data Compatibility
- Global Resilience
- Self Managed Software
- Freedom of Choice
- Fully managed Cloud Service
- Enterprise Support
- Professional Services
- committer-driven expertise
- Training
- Partners
Benefits
Unrestricted developer productivity
Democratize Kafka for a wider range of developers and accelerate how fast they build event streaming applications.
Efficent operations at scale
Minimize operational complexity while ensuring high performance and scalability as event streaming grows through your organization.
Production-stage prerequisites
Architect the platform with the foundational enterprise-level attributes needed to implement event streaming in production.
Freedom of choice
Deploy on-premises, in public or hybrid cloud, from bare-metal to Kubernetes, or leverage a fully managed cloud service with Confluent Cloud
Committer-driven expertise
Leverage the world’s foremost Kafka experts, who work directly with Kafka committers to assist you throughout the application development lifecycle.
Features
UNRESTRICTED DEVELOPER PRODUCTIVITY
EFFICENT OPERATIONS AT SCALE
PRODUCTION STAGE PREREQUISITES
non-Java Clients (1)
Write producers and consumers using C/C++, Python, Go, and .NET
REST Proxy (2)
Provide access to Kafka from any network connected device
Connectors (1)(2)(3)
Instantly stream data using most popular data sources and sinks with a broad ecosystem of pre-built connectors
MQTT Proxy (3)
Access Kafka from MQTT devices and gateways without the need for a MQTT Broker in the middle
KSQL (2)
Build real-time stream processing applications against Apache Kafka using simple SQL-like semantics
Control Center (3)
Manage key operations and monitor the health and performance of Kafka clusters using curated dashboards
K8s Operator (3)
Automate deployment and key lifecycle operations of Confluent Platform on Kubernetes
Ansible (1)
Automate deployment of Confluent Platform on non-containerized environments
Auto Data Balancer (3)
Optimize resource utilization and performance by rebalancing partitions when adding or removing brokers
Tiered Storage (preview)(3)
Achieve infinite retention and elastic scalability by offloading older Kafka data to inexpensive object storage
Role-Based Access Control (3)
Centrally manage access to critical resources across the entire platform with fine-tuned authorization granularity
Structured Audit Logs (3)
Trace user actions in a set of dedicated Kafka topics to detect abnormal behaviour and security threats
Secret Protection (3)
Encrypt sensitive information (e.g. passwords) within configuration files to avoid exposing secrets
Schema Validation (3)
Ensure data compatibility by validating and enforcing schemas in the Kafka broker with topic-level granularity
Multi-Region Clusters (3)
Run a single Kafka cluster across multiple datacenters and protect against disasters with automated client failover
Replicator (3)
Migrate topics between Kafka clusters across data centers and public clouds
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Stories
Global leaders are powered by Confluent.
Superior Customer Experiences}
RBC improves their customer experience through data while staying compliant with industry regulations.
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Increased Pace of Digital Innovation}
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