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Redis vs. Ehcache

Redis Ehcache + Add column
Description In-memory data structure store in-memory and persistence key-value store
Brand ?
Multi-user system Yes Yes
Memory minimum 2 MB ?
Extension/Plug-in Yes No
Operating system
Programming language
Database ?
Website redis.​io ehcache.​org
Database model
Query language
Transactions Yes Yes
Unicode Yes Yes
Referential integrity Yes No
Price rating ★★★★★ ★★★★★
Standard compliance Yes Yes
Sharding Yes Yes
Replication Yes Yes
Map and reduce No Yes
Revision control Yes No
Atomicity Yes Yes
Consistency Yes Yes
Isolation Yes Yes
Durability (data storage) Yes Yes
Horizontal scalable Yes Yes
Integrity model ?
Software distribution
Full text search Yes No
Preference 50% votes 50% votes
Object-Relational Mapping (ORM) No Yes
Documentation level ★★★★★ ★★★★★
RESTful Yes Yes
Lines of code 30 k ?
TTL for entries Yes Yes
Value size max. 512 MB 8 GB
Conditional entry updates Yes Yes
Composite keys No Yes
Distributed Counter Yes No
Free to use Yes Yes
Active Yes Yes
Database Connection Pooling Yes No
Compression Yes Yes
Real time analytics Yes Yes
Creation Date 2009 2003
Community Driven Good Good
Web interface No ?
Data encryption No Yes
Widgets Dashboard Good ?
API Good Good
Secondary Indexes No Yes
Color ?
Graph support Conditional ?
Embeddable Yes Yes
Geospatial Indexes Yes ?
Locking model
Data storage
Replication mode
Native driver
Cloud platform support ?
Online backup Yes No
Data types
Partial Index No ?
Function Based Index No ?
Key length max 536 870 912 102
Geographic Replication Yes Yes
Log Yes Yes
Implementation flexibility 42% votes 58% votes
Download https:/​/​redislabs.​com/​redis-enterprise ehcache.​org/​code
Level of access authorization ?
Backup functionality Good Good
Query Cache Yes Yes
Ease of use ★★★★★ ★★★★★
Free for commercial use Yes Yes
Sorts Yes Yes
Capped Collections Yes ?
Tuneable write concerns No Yes
Read preferences Yes No
Event Driven Architecture Yes Yes
Open Source Yes Yes
Op/s 1 000 000 ?
Maven support Yes Yes
Triggers Yes Yes
Server side custom code Yes ?
Perfomance ★★★★★ ★★★★★
Cloud-enabled Yes Yes
Licenses model ?
API Test Control Yes No
Pipeline Aggregation Yes ?
Spring Data Support Yes Yes
Geospatial Yes No
Text Analytics Yes ?
Server Side Java Script No ?
JSON Yes Yes
Flexible Table(Schema) Yes ?
Geo-distributed Yes ?
Max rows in query result 10 000 ?
ORM Join Support No Yes
Re-Reduce No ?
Clustering over WAN Yes Yes
Fully Distributed Yes ?
Stored Procedure Yes ?
Corruption Resistant No ?
Second Level Caching Yes Yes
Auto-Sharding Yes ?
Contributors 288 ?
Delta read Yes ?
Delta Update Yes ?
Aggregators Yes Yes
Near cache No Yes
Continuous query No ?
HTTP Session replication Yes Yes
In business since 2010 2003
Number of systems in production 3 338 ?
24/7 support Yes Yes
Free edition Yes Yes
Distributed code Deployment No ?
Rolling Upgrade Yes ?
Dynamic index Yes Yes
Data Grid interceptors Yes ?
Kafka Integration Yes No
Storm Integration Yes ?
Offheap Memory Yes Yes
In-Memory File System Yes ?
CEP Streaming No ?
SQL Queries No Yes
Minimum Java version 6 1.5
memcached protocol Yes No
JSR 107 Compliance No Yes
Monitoring UI Yes Yes
CLI` Yes ?
command-line console Yes ?
Web Page Caching Yes Yes
In Memory Data Grid
Hadoop Integration Yes Yes
Apache Spark Integration Yes No
Redis API Yes ?
Compute Grid Yes No
Point In Time Recovery Yes ?
Is it hype? No ?
Does your boss understand it? Yes ?
Performance 10 ?
Shared nothing architecture ? Yes
Segment / filter results ? Yes
Multivariate Testing ? Yes
Does your mom understand it ? No
Web Page Fragment Caching ? Yes
Monitoring and Management ?
Should be written in Node.js ? No
 Exportar a Excel las personas relacionas con la solicitud ? Yes
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Redis Ehcache
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Reviews & Comments

  • 💬 Comment
    Redis is a good caching tool for a cluster, but our application had performance issues while using Aws Elasticache Redis since some page had 3000 cache hits per a page load and Redis just couldn't quickly process them all in once + latency and object deseialization time - page load took 8-9 seconds. We create a custom hybrid caching based on Redis and EhCache which worked great for our goals. Check it out on github, it's called HybriCache -
    Brian W18. Feb 2017 / 03:23

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