ICS Compute × Confluent

Keep Data Moving Across Your Enterprise

ICS Compute helps organizations build and operationalize data streaming architectures with Confluent, connecting applications, databases, and cloud environments through continuous data pipelines and event-driven integration.

ICS Compute helps organizations design, implement, and operationalize data streaming architectures using Confluent.

Talk to Our Data ExpertsExplore Our Capabilities
ICS ComputeConfluent

Technology partner

Producers write events

ApplicationsDatabases (CDC)Cloud services

Confluent data streaming platform

Topic with 3 partitions

Consumers read at their own pace

ApplicationsAnalyticsAI systemsOperational platforms
Conceptual view, not a product screen. Each consumer keeps its own read position, and systems are connected only where connectors or clients are configured.

Data Streaming Platform

Connect, Process, and Govern Data in Motion

Confluent provides a data streaming platform built around Apache Kafka, enabling organizations to connect systems, process streams, and make data available to downstream applications and platforms.

Data producers

ApplicationsDatabasesCloud services

Connect & ingest

Data Integration

Connect supported databases, applications, and cloud services through streaming connectors.

Source connectorsChange data captureProducer clients

Kafka Connect, Confluent connectors

Streaming platform

Data Streaming

Publish, distribute, and consume event streams across connected systems.

Apache Kafka topics, partitions, and retention, managed in Confluent Cloud or self-managed with Confluent Platform

Stream Processing

Transform, enrich, filter, and process streaming data using supported stream processing technologies.

FilterTransformEnrichJoin streams

Apache Flink, Kafka Streams

Data consumers

Event-Driven Architecture

Enable applications and services to exchange events and react to changes without relying exclusively on tightly coupled point-to-point integrations.

ApplicationsAnalyticsAI systemsOperational platforms

Consuming services can publish new events back to the platform

Consumer clients, sink connectors, Tableflow (Confluent Cloud)

Across every layer

Stream Governance

Support stream discovery, schema management, data contracts, and governance capabilities where applicable.

  • Schema Registry
  • Data contracts
  • Stream Lineage
  • Stream Catalog

Applies from ingestion through consumption

Conceptual architecture, not a required design. Available features depend on the deployment model (Confluent Cloud or Confluent Platform), service tier, supported connectors, and configuration. Latency and delivery guarantees depend on how producers, processing, and consumers are configured.

Our Data Streaming Expertise

From Disconnected Systems to Continuous Data Flow

ICS Compute supports organizations in designing and implementing streaming data architectures that connect enterprise systems, process events, and support real-time data availability across applications and platforms.

  1. Streaming Architecture Design

    Assess data flow requirements and design event streaming architectures around integration, scalability, reliability, and operational needs.

    Applies to: the full environment, including governance

    Modern data platform

  2. Data Source Integration

    Connect supported databases, applications, and cloud services to streaming pipelines using appropriate connectors and integration patterns.

    Applies to: sources, connectors

    Data platform engineering

  3. Stream Processing Engineering

    Develop stream processing workflows for transforming, filtering, enriching, and routing event data.

    Applies to: topics, processing, schemas

    Advanced analytics & machine learning

  4. Event-Driven Integration

    Design integration patterns that enable applications and services to publish and consume events across distributed environments.

    Applies to: sources, topics, consumers, event contracts

    Cloud & platform engineering

  5. Streaming Platform Operations

    Support monitoring, configuration, reliability, performance tuning, and ongoing operational optimization.

    Applies to: the running platform as a whole

    Managed cloud & AI operations

Where each capability fits

Operated environment
Sources01 02 04
Connectors01 02
Topics01 03 04
Processing01 03
Consumers01 04
Schemas & governance01 03 04
Numbers under each stage show which ICS Compute capabilities apply. The dashed frame is the running environment covered by capability 05.

Engineered for Continuous Data

Data Streaming That Works Beyond Deployment

Reliable data streaming requires more than connecting producers and consumers. Architecture, schema management, processing logic, observability, and operational readiness determine how effectively streaming systems support production workloads.

  1. Assess

    Evaluate existing systems, data flows, integration requirements, and streaming readiness.

  2. Design

    Define event streaming architecture, processing patterns, schemas, and operational requirements.

  3. Integrate

    Connect data sources, develop streaming pipelines, and implement processing workflows.

  4. Operate

    Support monitoring, reliability, error handling, and ongoing streaming platform operations.

  5. Optimize

    Improve throughput, latency, resource utilization, processing efficiency, and operational performance.

Operate and optimize continue while the streams run

Confluent provides the data streaming platform.ICS Compute helps make continuous data flow part of enterprise operations.

ICS Compute × Confluent

Build Your Real-Time Data Foundation

Whether you're connecting enterprise systems, modernizing data integration, or building event-driven architectures, explore how ICS Compute can support your Confluent environment.

Talk to Our Data Experts