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DBMS > Apache Phoenix vs. eXtremeDB vs. FeatureBase vs. Hive

System Properties Comparison Apache Phoenix vs. eXtremeDB vs. FeatureBase vs. Hive

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonHive  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseNatively in-memory DBMS with options for persistency, high-availability and clusteringReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitephoenix.apache.orgwww.mcobject.comwww.featurebase.comhive.apache.org
Technical documentationphoenix.apache.orgwww.mcobject.com/­docs/­extremedb.htmdocs.featurebase.comcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software FoundationMcObjectMolecula and Pilosa Open Source ContributorsApache Software Foundation infoinitially developed by Facebook
Initial release2014200120172012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.2, 20212022, May 20223.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen 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 languageJavaC and C++GoJava
Server operating systemsLinux
Unix
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infosupport of XML interfaces availableno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLSQL queriesSQL-like DML and DDL statements
APIs and other access methodsJDBC.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
Java
Python
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesyes infouser defined functions and integration of map-reduce
Triggersnoyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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
yesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles
More information provided by the system vendor
Apache PhoenixeXtremeDBFeatureBaseHive
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Apache PhoenixeXtremeDBFeatureBaseHive
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