Categories: EAIESBJava / JEE

JBoss OneDayTalk 2013: “NoSQL Integration with Apache Camel – MongoDB, CouchDB, Neo4j, Cassandra, HBase, Hazelcast, Riak, etc.”

JBoss OneDayTalk is a great annual event around open source development. I have done a talk about “NoSQL Integration with Apache Camel”. This blog post shows you the updated slide deck of this talk.

Abstract

SQL cannot solve several problems emerging with big data. A distributed, fault-tolerant architecture is necessary. NoSQL comes to the rescue, but therefore it does not use SQL as its query language or give full ACID guarantees. Thus, in the future you will have to learn new concepts and integrate these NoSQL databases as you integrate SQL databasestoday. The open source integration framework Apache Camel is already prepared for this challenging task.

Apache Camel implements the well-known Enteprise Integration Patterns (EIP) and therefore offers a standardized, domain-specific language to integrate applications and clouds. It can be used in almost every integration project within the JVM environment. All integration projects can be realized in a consistent way without redundant boilerplate code.

This session demonstrates the elegance of Apache Camel for NoSQL integration. Several examples are shown for all different concepts by integrating NoSQL databases from CouchDB (Document Store), HBase (Column-oriented), Neo4j (Graph), Amazon Web Services (Key Value Store), and others.

If the required NoSQL database is not supported by Apache Camel, you can easily create your own Camel component with very low effort. This procedure is explained at the end of the session.

Slides

Click on the button to load the content from www.slideshare.net.

Load content

Kai Waehner

bridging the gap between technical innovation and business value for real-time data streaming, processing and analytics

Recent Posts

How Penske Logistics Transforms Fleet Intelligence with Data Streaming and AI

Real-time visibility has become essential in logistics. As supply chains grow more complex, providers must…

1 day ago

Data Streaming Meets the SAP Ecosystem and Databricks – Insights from SAP Sapphire Madrid

SAP Sapphire 2025 in Madrid brought together global SAP users, partners, and technology leaders to…

6 days ago

Agentic AI with the Agent2Agent Protocol (A2A) and MCP using Apache Kafka as Event Broker

Agentic AI is emerging as a powerful pattern for building autonomous, intelligent, and collaborative systems.…

1 week ago

Powering Fantasy Sports at Scale: How Dream11 Uses Apache Kafka for Real-Time Gaming

Fantasy sports has evolved into a data-driven, real-time digital industry with high stakes and massive…

2 weeks ago

Databricks and Confluent Leading Data and AI Architectures – What About Snowflake, BigQuery, and Friends?

Confluent, Databricks, and Snowflake are trusted by thousands of enterprises to power critical workloads—each with…

3 weeks ago

Databricks and Confluent in the World of Enterprise Software (with SAP as Example)

Enterprise data lives in complex ecosystems—SAP, Oracle, Salesforce, ServiceNow, IBM Mainframes, and more. This article…

3 weeks ago