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DBMS > Apache Phoenix vs. Cloudflare Workers KV vs. Ehcache vs. InfinityDB

System Properties Comparison Apache Phoenix vs. Cloudflare Workers KV vs. Ehcache vs. InfinityDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEhcache  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A widely adopted Java cache with tiered storage optionsA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSKey-value storeKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitephoenix.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.ehcache.orgboilerbay.com
Technical documentationphoenix.apache.orgdevelopers.cloudflare.com/­kv/­apiwww.ehcache.org/­documentationboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationCloudflareTerracotta Inc, owned by Software AGBoiler Bay Inc.
Initial release2014201820092002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.10.0, March 20224.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinux
Unix
Windows
hostedAll OS with a Java VMAll OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesnoyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnonono infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCHTTP REST
Proprietary protocol
JCacheAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
JavaJava
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infoby using Terracotta Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infosupports JTA and can work as an XA resourceACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynono

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More resources
Apache PhoenixCloudflare Workers KVEhcacheInfinityDB
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