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Performance (Kundera 2.0.7)
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Kundera Performance was compared against Hector / Pelops. Why Hector / Pelops? Kundera is an object-to-datastore maping tool and Hector / Pelops are high level Cassandra clients and therefore this comparison can be argued against but the intent was to calculate the overhead that Kundera is adding while it provides the mapping and other real cool features.
Kundera HBase API's performance was compared against DataNucleus /Native API. Kundera is an JPA compliant object-to-datastore maping tool and intent was to calculate the overhead that Kundera is adding while it provides the mapping and other real cool features.
Kundera mongo API's performance was compared against Spring data / Morphia/Native API. Kundera is an JPA compliant object-to-datastore maping tool and intent was to calculate the overhead that Kundera is adding while it provides the mapping and other real cool features.
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Datastores Supported
- Releases
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Architecture
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Concepts
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Getting Started in 5 minutes
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Features
- Object Mapper
- Polyglot Persistence
- Queries Support
- JPQL (JPA Query Language)
- Native Queries
- Batch insert update
- Schema Generation
- Primary Key Auto generation
- Transaction Management
- REST Based Access
- Geospatial Persistence and Queries
- Graph Database Support
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Composite Keys
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No hard annotation for schema
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Support for Mapped superclass
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Object to NoSQL Data Mapping
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Cassandra's User Defined Types and Indexes on Collections
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Support for aggregation
- Scalar Queries over Cassandra
- Connection pooling using Kundera Cassandra
- Configuration
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Kundera with Couchdb
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Kundera with Elasticsearch
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Kundera with HBase
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Kundera with Kudu
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Kundera with RethinkDB
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Kundera with MongoDB
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Kundera with OracleNoSQL
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Kundera with Redis
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Kundera with Spark
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Extend Kundera
- Sample Codes and Examples
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Blogs and Articles
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Tutorials
* Kundera with Openshift
* Kundera with Play Framework
* Kundera with GWT
* Kundera with JBoss
* Kundera with Spring
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Performance
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Troubleshooting
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FAQ
- Production deployments
- Feedback