Kafka vs MarkLogic: What are the differences?
Kafka: Distributed, fault tolerant, high throughput pub-sub messaging system. Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design; MarkLogic: Schema-agnostic Enterprise NoSQL database technology, coupled w/ powerful search & flexible application services. MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.
Kafka and MarkLogic are primarily classified as "Message Queue" and "Databases" tools respectively.
Some of the features offered by Kafka are:
- Written at LinkedIn in Scala
- Used by LinkedIn to offload processing of all page and other views
- Defaults to using persistence, uses OS disk cache for hot data (has higher throughput then any of the above having persistence enabled)
On the other hand, MarkLogic provides the following key features:
- Search and Query
- ACID Transactions
- High Availability and Disaster Recovery
"High-throughput" is the top reason why over 95 developers like Kafka, while over 3 developers mention "RDF Triples" as the leading cause for choosing MarkLogic.
Kafka is an open source tool with 12.5K GitHub stars and 6.7K GitHub forks. Here's a link to Kafka's open source repository on GitHub.