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DBMS > Apache Phoenix vs. HarperDB vs. InfinityDB vs. OrientDB

System Properties Comparison Apache Phoenix vs. HarperDB vs. InfinityDB vs. OrientDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHarperDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseUltra-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.A Java embedded Key-Value Store which extends the Java Map interfaceMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSDocument storeKey-value storeDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitephoenix.apache.orgwww.harperdb.ioboilerbay.comorientdb.org
Technical documentationphoenix.apache.orgdocs.harperdb.io/­docsboilerbay.com/­infinitydb/­manualwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software FoundationHarperDBBoiler Bay Inc.OrientDB LTD; CallidusCloud; SAP
Initial release2014201720022010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1, August 20214.03.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availablecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsJavaJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
All OS with a Java VMAll OS with a Java JDK (>= JDK 6)
Data schemeyes infolate-bound, schema-on-read capabilitiesdynamic schemayes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsnoSQL-like query language, no joins
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.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
Java.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1noJava, Javascript
TriggersnononoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definednoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesnoAccess rights for users and roles; record level security configurable

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More resources
Apache PhoenixHarperDBInfinityDBOrientDB
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