Redpanda

Streaming

Redpanda: Optimize your streaming data solutions

Redpanda is a modern streaming data platform that fully supports the Kafka API and integrates seamlessly into existing systems. Thanks to its implementation in C++ and an optimized architecture, Redpanda achieves outstanding performance with low resource consumption. The platform also offers high availability and data security and can be scaled flexibly. Thanks to the installation models, companies retain full control over their data at all times. Redpanda is therefore a powerful, scalable and cost-effective solution for modern data streaming. It is also a very good alternative to the well-known Kafka distributions.

Top features of Redpanda

Apache Kafka compatible

Redpanda drastically simplifies the transition from Apache Kafka. The platform speaks the Kafka protocol almost completely, so that existing producer and consumer applications usually continue to run without code changes. This means teams keep their familiar clients, frameworks and workflows – but gain modern performance, lower hardware requirements and a lean operating model. Whether you are migrating existing streaming workloads or starting a new event project, Redpanda ensures seamless onboarding and future-proof scaling.

More performance, lower costs

Redpanda delivers real-time streaming with impressive efficiency. The core, written in C++, does not require a JVM, thus reducing latencies and making optimal use of hardware. The result: high throughput, reliable transactions and a lean operating model that fits seamlessly into cloud, edge and container environments. Teams save infrastructure and DevOps effort, retain full data control and scale without complexity.

User-friendly

Redpanda makes streaming easy: a compact binary bundles the broker, schema registry and HTTP proxy so that an executable cluster is up and running in minutes. Sensible default settings avoid lengthy configuration marathons. If required, you can scale via CLI command or convenient web console. The lean rpk tool takes care of installations, upgrades and monitoring, thus noticeably reducing DevOps costs. Developers can concentrate on new features instead of spending time on complex deployments.

Seamless data integration

Redpanda Connect links popular data sources, SaaS apps and real-time applications in just a few minutes. Over 250 ready-to-use connector templates – for Postgres, S3 or Snowflake, for example – can be activated via UI or YAML. The solution is based directly on Redpanda’s lean core and does not require complex Kafka Connect clusters. Bring events to where they are needed – without your own integration team.

Stable and fail-safe

Redpanda was built for mission-critical workloads and reliably protects your data – even during peak loads. Raft-based replication delivers consistent writes, while automatic self-healing mechanisms quickly synchronize nodes and seamlessly handle failovers.

Application scenarios for Redpanda

(I)IoT

Streaming Data Lake with Redpanda and Starburst

Kafka Migration

Online AI & ML

Every millisecond counts for industrial IoT applications

With its low and, above all, predictable latencies, Red Panda is therefore our first choice for processing IoT data from a wide range of data sources. Use our blueprint of MQTT, Redpanda and ThingsBoard as the ideal IoT starter package for your IoT project.

Real-Time Data Warehouse with Apache Iceberg (Streaming Lakehouse)

With Redpanda Iceberg Topics, events land directly as rows in Apache Iceberg tables. Streaming and batch data thus share the same memory – and can be analyzed immediately via SQL using Trino or Starburst. This significantly shortens the time-to-insight.

Smooth migration from Apache Kafka

With Redpanda, the transition from Apache Kafka is a smooth one. The platform speaks the Kafka protocol natively, meaning that existing producer and consumer applications continue to run mostly unchanged (drop-in replacement). The lean one binary design dispenses with JVM and ZooKeeper, significantly reducing complexity and infrastructure costs.

AI integration “in-stream”

Redpanda brings artificial intelligence directly to the data stream. Execute models with web assembly transforms in Stream, for example, while Redpanda Connect seamlessly connects features, data sources and target systems. This allows you to infer large language models or anomaly detection in real time, continuously refine them and react immediately to events.

Our services around Redpanda

Use case workshop “Event streaming”

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Event streaming" architecture workshop

Joint development of an event streaming architecture based on best practices
Integration into existing systems (brown field)
Identification of necessary architecture transitions
Best practices for operations & security
Development of a project plan

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Support packages for fast problem solving

it-novum is the right partner for your Redpanda Project

Data is in our DNA

We know how to implement data architecture and any other data projects.

At first hand

Close contact to the software vendor guarantees first-hand know-how

Extensive Streaming Expertise

We know Redpanda projects in many sectors and have no “blinkers”.

Certified personnel

Trained personnel at all project levels – from architecture to development

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