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DBMS > Apache Phoenix vs. CouchDB vs. eXtremeDB vs. Faircom EDGE vs. InfinityDB

System Properties Comparison Apache Phoenix vs. CouchDB vs. eXtremeDB vs. Faircom EDGE vs. InfinityDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Natively in-memory DBMS with options for persistency, high-availability and clusteringFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSDocument storeRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Key-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Websitephoenix.apache.orgcouchdb.apache.orgwww.mcobject.comwww.faircom.com/­products/­faircom-edgeboilerbay.com
Technical documentationphoenix.apache.orgdocs.couchdb.org/­en/­stablewww.mcobject.com/­docs/­extremedb.htmdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMcObjectFairCom CorporationBoiler Bay Inc.
Initial release20142005200119792002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20238.2, 2021V3, October 20204.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialcommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC and C++ANSI C, C++Java
Server operating systemsLinux
Unix
Windows
Android
BSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Typesyes 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.nonono infosupport of XML interfaces availableyesno
Secondary indexesyesyes infovia viewsyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesnoyes infowith the option: eXtremeSQLyes infoANSI SQL queriesno
APIs and other access methodsJDBCRESTful HTTP/JSON API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Access 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#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C#
C++
Java
Lua
Python
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptyesyes info.Net, JavaScript, C/C++no
Triggersnoyesyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0horizontal partitioning / shardingFile partitioning infoCustomizable business rules for partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoSynchronous and asynchronous realtime replication based on transaction logsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonoyesyes infowhen using SQLno infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyesyesyes
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-tenancyAccess rights for users can be defined per databaseFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no
More information provided by the system vendor
Apache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"eXtremeDBFaircom EDGE infoformerly c-treeEDGEInfinityDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
Apache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"eXtremeDBFaircom EDGE infoformerly c-treeEDGEInfinityDB
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