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DBMS > Apache Phoenix vs. HarperDB vs. IBM Cloudant vs. InfinityDB

System Properties Comparison Apache Phoenix vs. HarperDB vs. IBM Cloudant vs. InfinityDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHarperDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonInfinityDB  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.Database as a Service offering based on Apache CouchDBA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSDocument storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitephoenix.apache.orgwww.harperdb.iowww.ibm.com/­products/­cloudantboilerbay.com
Technical documentationphoenix.apache.orgdocs.harperdb.io/­docscloud.ibm.com/­docs/­Cloudantboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationHarperDBIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Boiler Bay Inc.
Initial release2014201720102002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1, August 20214.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsErlangJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
hostedAll OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesdynamic schemaschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnoyes 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 indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesSQL-like data manipulation statementsnono
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP/JSON APIAccess 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
.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
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1View functions (Map-Reduce) in JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingnone
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 definedMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate 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 dataACIDAtomic execution of specific operationsno infoatomic operations within a document possibleACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesAccess rights for users can be defined per databaseno

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More resources
Apache PhoenixHarperDBIBM CloudantInfinityDB
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