AI TOOL PROFILE

Confluent | The Data Streaming Platform

Confluent is designed for organizations that need to manage real-time data architectures. It may help teams replace batch-based ETL pipelines with event-driven workflows.

Pricing

Confluent Cloud uses a consumption-based model with tiered serverless clusters starting from a Basic tier at $0/month, Standard at ~$385/month, and Enterprise at ~$895/month. New sign-ups receive $400 in credits.

At a glance

Best for
Software companies, Enterprise companies, Data engineers, Platform architects
Key use cases
CDC Pipelines, Event-Driven Microservices, Shift-Left Analytics, Fraud Detection, Customer 360 Implementations
Integrations
Oracle, SQL Server, MySQL, Salesforce, Debezium
Visit Confluent KafkaConfluent Kafka software interface screenshot

How AI is used

Confluent is a data streaming platform based on Apache Kafka and Apache Flink. It is designed for organizations that handle data as a continuous flow of events rather than static batches, supporting the creation of real-time data architectures.

The platform is intended for software companies and large enterprises. It helps teams integrate data systems, manage data quality via a schema registry, and process streams in flight to create data products.

Buyers can choose between different deployment models, including a fully managed cloud service (Confluent Cloud), a self-managed version (Confluent Platform), or private cloud options. This allows teams to choose between managed operational ease and infrastructure control.

Buyers should confirm their specific throughput requirements and whether they need the networking and partition limits found in the Enterprise or Freight tiers.

Key Features

  • Real-time Data Streaming

    Supports the continuous flow of events across a business to power real-time applications.

  • Stream Governance

    Includes a Schema Registry, Stream Catalog, and Stream Lineage to manage data quality and compatibility.

  • Stream Processing

    Integrates Apache Flink to filter, join, and enrich data streams using SQL syntax.

  • Managed Connectors

    Provides a library of pre-built connectors to integrate with various databases, SaaS apps, and cloud services.

  • Confluent Intelligence

    Supports real-time, context-aware AI capabilities for data streams.

  • Deployment Options

    Offers options for fully managed cloud, self-managed on-premises, and private cloud environments.

Use Cases

  • CDC Pipelines

    Building Change Data Capture pipelines to synchronize data between relational databases in real time.

  • Event-Driven Microservices

    Developing decoupled application architectures that react to business events as they occur.

  • Shift-Left Analytics

    Cleaning and governing data at the source before it is ingested into data lakes or warehouses.

  • Fraud Detection

    Analyzing data streams in real time to identify and respond to fraudulent activity.

  • Customer 360 Implementations

    Integrating data from multiple sources to create a real-time view of customer activity.

Integrations

  • Oracle
  • SQL Server
  • MySQL
  • Salesforce
  • Debezium
  • AWS
  • Azure
  • Google Cloud

FAQ

How does Confluent differ from open source Apache Kafka?

While built on Kafka, Confluent provides a platform with additional tools for security, governance, and managed connectors, as well as a cloud-native architecture.

What are the different deployment options for Confluent?

Users can choose Confluent Cloud for a fully managed service, Confluent Platform for self-managed on-premises or hybrid deployments, or Confluent Private Cloud.

Which pricing plan is for production-ready use cases?

The Standard plan, starting at approximately $385/month, is designed for production-ready use cases and includes an extended feature set and a 99.99% uptime SLA for certain configurations.

Source category: Data & Analytics

Source subcategory: Data Integration

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