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DBMS > Apache Phoenix vs. ArcadeDB vs. Heroic

System Properties Comparison Apache Phoenix vs. ArcadeDB vs. Heroic

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonArcadeDB  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitephoenix.apache.orgarcadedb.comgithub.com/­spotify/­heroic
Technical documentationphoenix.apache.orgdocs.arcadedb.comspotify.github.io/­heroic
DeveloperApache Software FoundationArcade DataSpotify
Initial release201420212014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinux
Unix
Windows
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLyesSQL-like query language, no joinsno
APIs and other access methodsJDBCJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy

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More resources
Apache PhoenixArcadeDBHeroic
DB-Engines blog posts

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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

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27 March 2017, SDTimes.com

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22 December 2022, Built In

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18 April 2019, eWeek

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