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Enterprise Event Streaming Platform Built by the Original Creators of Apache Kafka®
Event streaming is a new paradigm where data is seen as a continuous stream of events. This new paradigm was originally developed at LinkedIn in 2010 by the founders of Confluent as an open source solution called Apache Kafka. Today, organizations around the world rely on Kafka and event streaming to integrate information from existing systems in real time and to build a new class of contextual, event-driven applications that unlock entirely new business opportunities.
Confluent Platform is an enterprise-ready platform that complements Kafka with a complete set of advanced capabilities designed to help you accelerate application development and connectivity, enable event transformations through the power of stream processing, simplify enterprise operations at scale and meet the most stringent security requirements.
Access Kafka through a RESTful interface, connect existing systems like databases leveraging a rich connector ecosystem, and write new event streaming applications with multi-language client support.
Filter, enrich and transform data through stream processing using a familiar SQL syntax, and ensure data compatibility with a central schema registry.
Confluent Platform
Why Confluent Platform?
Complete Event Streaming Platform
Simplify operations at scale and ensure event streaming SLAs are met using intuitive graphical consoles and dashboards.
Provide scalability and performance with automatic data balancing, enable high availability and disaster recovery with multi-datacenter replication, and ensure enterprise-grade security with role-based access controls.
Mission-critical Reliability
Deploy across any infrastructure platform, from VMs to containers to Kubernetes, on premises or in the public cloud.
Leverage the only hybrid Kafka service in the industry, by streaming data from on-premises Confluent Platform to Confluent Cloud™, a fully managed cloud-native streaming service built and operated by Confluent.
Freedom of Choice
Confluent created an open source
event streaming platform and
reimagined it as an enterprise
solution. Streaming data as events
enables completely new ways of
solving problems at scale.
What customers are saying
Confluent Platform01
Confluent Platform Datasheet
Mike Krolnik Head of Engineering, Enterprise Cloud
Making this simple at scale is
absolutely necessary and that’s why
we leverage Confluent Platform.
Rene ParraChief Architect
Operations and Security
Supp
ort,
Serv
ices
, Tr
aini
ng &
Par
tner
s
Development & Stream Processing
Apache Kafka
Confluent Platform
Mission-critical Reliability
Complete EventStreaming Platform
Freedom of ChoiceFully-Managed ServiceSelf-Managed Service
Datacenter Public Cloud Confluent Cloud
©Copyright 2019 Confluent, Inc.
Database / Mainframe Offloading
Make transactional data on mainframes available to
external systems.
SIEM modernization
Send the right data to the right downstream system by
filtering and transforming through stream processing.
Messaging modernization
Decouple producers and consumers with a fault
tolerant, scalable streaming platform.
Event Driven Microservices
Evolve your shared-state applications to a lightweight,
and responsive microservices architecture.
Hybrid and Multi-cloud streaming
Community Leaders
Stream data from on-premises Confluent Platform to
Confluent Cloud or between multiple public clouds.
Confluent organizes the world’s largest Kafka
community event, Kafka Summit, sponsors meetup
groups and leads the Kafka Slack community.
Confluent Platform ©Copyright 2019 Confluent, Inc. 02
Confluent Platform Datasheet
Key use cases
Get Started
Confluent Platform Features
Industry ExpertsConfluent employs the largest team of Apache Kafka
committers and experts, enabling us to ensure the
success of your project through enterprise support,
professional services and training.
Download Confluent Platform and try it free on a
single broker or free for 30 days on unlimited
brokers, or sign up for Confluent Cloud and start
streaming in minutes. Visit confluent.io/download/
Apache Kafka
Development and Stream Processing
Operations and Security
Enterprise Support
Apache Kafka
Clients: C++, Python, Go, and .NET
Control Center: GUI to understand and
manage Kafka at scale
24x7x365
Connectors: over 30 supported,
including S3, Elastic, HDFS, JDBC
REST Proxy: universal access to Kafka
from any network connected device
MQTT Proxy: access to Kafka from
MQTT devices and gateways
Schema Registry: central registry to
ensure data compatibility
KSQL: stream processing using
SQL semantics
Kafka Connect
Kafka Streams
ConfluentPlatform
Replicator: replication across data
centers and clouds for disaster recovery
Operator: deployment and operations
automation on Kubernetes
Auto Data Balancer: resource
optimization across the Kafka cluster
Security plugins: for REST Proxy,
Schema Registry and LDAP
Role-Based Access Control(1): secure
authorization of access to resources
by users and groups
(1) Preview feature for development environments only. Best effort support only
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