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DBMS > Apache Phoenix vs. Cloudflare Workers KV vs. Ehcache vs. HarperDB vs. Heroic

System Properties Comparison Apache Phoenix vs. Cloudflare Workers KV vs. Ehcache vs. HarperDB vs. Heroic

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEhcache  Xexclude from comparisonHarperDB  Xexclude from comparisonHeroic  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 optionsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSKey-value storeKey-value storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitephoenix.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.ehcache.orgwww.harperdb.iogithub.com/­spotify/­heroic
Technical documentationphoenix.apache.orgdevelopers.cloudflare.com/­kv/­apiwww.ehcache.org/­documentationdocs.harperdb.io/­docsspotify.github.io/­heroic
DeveloperApache Software FoundationCloudflareTerracotta Inc, owned by Software AGHarperDBSpotify
Initial release20142018200920172014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.10.0, March 20223.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree community edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaNode.jsJava
Server operating systemsLinux
Unix
Windows
hostedAll OS with a Java VMLinux
OS X
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infoJSON data typesyes
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.nonononono
Secondary indexesyesnonoyesyes infovia Elasticsearch
SQL infoSupport of SQLyesnonoSQL-like data manipulation statementsno
APIs and other access methodsJDBCHTTP REST
Proprietary protocol
JCacheJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresuser defined functionsnonoCustom Functions infosince release 3.1no
Triggersnonoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infoby using Terracotta Serveryes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infosupports JTA and can work as an XA resourceAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess rights for users and roles

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