AI TOOL PROFILE
Confluent | The Data Streaming Platform
- Data and Analytics
- Data Integration
- Software companies
- Enterprise companies
- Data engineers
- Platform architects
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
- Official website
- Visit Confluent Kafka official website

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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