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December | Complete

The Complete Solution for Cloud-Native Event Streaming

  • Transform apps and business processes with a fully-managed event streaming platform
  • Build streaming apps faster using SQL to manipulate and enrich event streams in real-time
  • Jumpstart projects with a marketplace of 120+ pre-built connectors

Complete Resources

Dec 2

Project Metamorphosis Month 8: Complete Apache Kafka in Confluent Cloud

Dec 14

Demo: Populate Cloud Data Warehouses the Easy Way with Confluent Cloud

Dec 10

Demo: Event streaming applications with zero infrastructure

Dec 10

Demo: How UC San Diego transformed the university system through real-time data with Confluent

Why a complete event streaming platform matters

Transform apps and business processes

While open source Apache Kafka provides the technical foundation for collecting and processing real-time data streams, it doesn’t offer a simple solution for implementing business use cases fully end-to-end. Instead, enterprises attempt to solve this by custom coding or integrating several distributed systems together; these architectures often include one system for event capture, one for event storage, one for stream processing, and one traditional database for serving point-in-time queries. Even then, this doesn’t account for the wide range of capabilities needed for enterprise-wide event streaming. Confluent allows enterprises to:

  • Freedom of choice to deploy Kafka how and where you want across different clouds or physical objects locations
  • Easily scale and harness the power of event streaming across your entire business with elastic scalability, infinite storage, and global access
  • Ensure events and users are safe and information is always available with enterprise-grade security and cloud-native reliability
  • Democratize access to events for everyone with 120+ pre-built connectors, ksqlDB, and schema registry and validation
Build streaming applications faster

Problem: Stream processing requires development teams to adopt a sophisticated mental model and understand how to create “always-running” stream processing applications. Many times the logic will be complex or cumbersome to express in Java, deterring many development teams of taking advantage of stream processing. SQL, on the other hand, is a high-level language that is easier to write in because it is declarative. To help development teams take advantage of the power of stream processing, Confluent allows enterprises to:

  • Easily create tables of state for events and run queries against them, by doing so, you ensure the tables of state can withstand fault
  • Filter, transform, and aggregate data, including windowed aggregations, with ksqlDB
  • Leverage the simplicity of SQL to democratize access to stream processing outside of Central IT and easily run Push queries that continuously look up data in tables, or classic Pull queries for point-in-time questions
Jumpstart projects with a single marketplace

Problem: Typically when moving data in and out of Kafka, development teams will need to either develop their own connectors using the Kafka Connect framework or leverage existing open source connectors already built by the community. The challenge is the time and effort required to build and maintain a new connector. On average, it takes 3-6 months for a FTE, who is a Kafka expert, to design, develop, test, and maintain one connector. And if something were to break, none of the connectors have support, so teams will spend more time fixing custom code than on innovation. Confluent allows enterprises to:

  • Easily migrate data from legacy systems to modern applications by leveraging out-of-the-box certified connectors from a single marketplace
  • Keep developers focused on building apps and lower your Kafka TCO by eliminating ~3-6 engineering months of designing and building a fully-managed connector
  • Jumpstart IoT use cases with MQTT connectors and remove additional layers of complexity with MQTT Proxy’s Kafka-native connectivity

Confluent Benefits

Implement mission critical use cases with ease
Create real, real-time experiences faster
Accelerate time to market

Ensure your data architecture is future-proof, elastic, global, secure, and reliable with a complete fully-managed event streaming platform.

Build applications that respond immediately to events. Receive real-time push updates, or pull current state on demand.

Quickly integrate a diverse set of data sources and sinks with Kafka to de-risk and accelerate time to market.


  • New

    Pre-Built Connectors

    Discover and use pre-built expertly designed assets from the Confluent ecosystem.

  • New

    Schema Validation

    Enable data governance by programmatically validating and enforcing schemas at broker-level.

  • New

    ksqlDB -- Pull Queries

    Build streaming apps with same ease and familiarity as traditional apps on a relational database.

  • Available

    MQTT Proxy

    Delivers Kafka-native connectivity into IoT devices without the need for intermediate MQTT brokers.

  • Available

    Confluent Hub

    A single online marketplace to easily browse, search, and filter from 120+ pre-built connectors.

  • Existing

    Schema Registry

    Enable application development compatibility by enforcing consistent data formats.

More Project Metamorphosis releases


How do you distribute real-time events across the globe and make them accessible from anywhere?

Read More


How do you reduce the risk of security breaches that can result in app downtime or costly data leaks throughout the Kafka operational lifecycle?

Read More


How do you maximize the value of your real-time data and harness the full power of event streaming?

Read More

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