Platform
Solutions
Resources
Developers
Docs

Platform
Solutions
Resources
Developers
Docs

Hazelcast Platform

Hazelcast Platform
Management Center
Hazelcast Cloud
Hazelcast CLC
Hazelcast Operator
Tutorials

6.0-SNAPSHOT
5.5
5.4
5.3
5.2
5.1
5.0

Get started
Install and upgrade
Develop and build
- Architecture
- Best practices
- Member and client discovery
- Kubernetes
- Distributed data structures
  - Overview
  - Caching Data
  - AP data structures
  - CP data structures
  - Streaming data structures
    - Event Journal
  - AI/ML data structures
    - Cardinality Estimator Service
    - Vector Collection
      - Data Structure Design
- Distributed Computing
  - Executor services
  - User Code Namespaces
- Data ingestion and query
  - Ingesting Data from External Sources
  - Running Distributed Queries
- Building a Cache with MapStore
- Building data pipelines
  - About Data Pipelines
  - Get started
    - Get Started with Stream Processing (Embedded)
    - Get Started with Stream Processing (Client/Server)
  - Ingesting data from sources
  - Processing data
  - Sending results to sinks
    - Overview
    - Create a Custom Sink
  - Stream processing
  - Serializing Pipelines
  - Jet Job Placement Control
  - Configuring Jobs
  - Securing Jobs
  - Submitting Jobs
  - Managing Jobs
  - Monitoring Jobs
  - Updating Jobs
  - Testing Sources and Sinks for XA Transaction Support
- Data connections
- SQL
  - Overview
  - SQL over maps
  - SQL over Kafka
    - Tutorial
    - Mappings
  - SQL over file systems
    - Tutorial
    - Mappings
  - SQL over JDBC
    - Mappings
  - SQL over MongoDB
    - Mappings
  - Working with JSON
  - Stream processing
  - Query parameters
  - Finding mappings
  - Improving performance
  - Configuring reflection
  - Troubleshooting
  - Statements
  - Functions and expressions
  - SQL Data Types
  - User-Defined Types in SQL
  - Optimizing SQL queries
    - Partition pruning
  - Predicates API
- Improving query performance
- Serialization
  - Overview
  - Compact Serialization
    - Compact Serialization Binary Specification
  - HazelcastJsonValue
  - Custom Serialization
  - Other serialization options
  - Configuring Serializers
- Listening to events
- Transactions
  - Creating a Transaction Interface
  - Providing XA Transactions
- Testing applications
- Troubleshooting
Operate and manage
- Configuration
  - Overview
  - Static configuration
  - Dynamic configuration
  - Phone Homes
- Configuring Logging
- Configuring the Jet Engine
- Maintaining a cluster
- Partition groups and networking
- Securing a cluster
  - Security Overview
  - TLS
  - Security Defaults
  - Enabling Security
  - Authentication
  - Client Authorization
  - Advanced security features
  - Security Hardening Recommendations
- Fault tolerance
  - Backups
  - Persistence
  - Detecting failures
  - Connection Timeouts
  - Fault Tolerance for Jobs
  - Handling network partitions
- CP Subsystem
- High-Density Memory Store
- Thread-Per-Core (TPC)
- Synchronizing data across clusters
- Extending Hazelcast
- OSGI
Connectors
- Overview
- Messaging system connectors
- Database and CDC connectors
- File Connectors
  - Unified File Connector
  - Legacy File Connector
- Hazelcast Data Structure Connectors
- Kafka Connect Source Connectors
- Socket Connectors
- Test Source Connectors
- Custom Connectors
- Community Connectors
Clients and APIs
- Overview
- Clients
- APIs
  - REST API
  - Memcache
Frameworks and plugins
Reference

This is a prerelease version.

View latest

Hazelcast Platform
Connectors
Community Connectors
Apache Pulsar Connector

Apache Pulsar Connector

6.0-SNAPSHOT 5.5 5.4 5.3 5.2 5.1 5.0

This connector is currently under incubation. For more information and examples, please visit the GitHub repository.

Custom Connectors HTTP Listener Connector

Edit this page Report an issue

Was this helpful?

Thank you for your feedback.

×

Send us your feedback

Thank you for helping us improve Hazelcast documentation.

Don’t fill this out if you’re human:

Solved my problem Helped me resolve an issue or answer a question. Accurate Precisely describes the product or feature. Easy to understand Well written and easy to follow. Helped me decide to use the product Convinced me to try or adopt the product or feature. Another reason

Couldn't find what I was looking for Missing important information or didn't answer my question. Inaccurate Doesn't accurately describe the product or feature. Hard to understand Too complicated or badly written. Code sample error Incorrect or missing code sample(s). Another reason

lifebuoy

Help and support

Report an issue Ask Community Online Training Contact Support

Terms of service Privacy Contact us