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DBMS > Apache Phoenix vs. BoltDB vs. etcd vs. Hive

System Properties Comparison Apache Phoenix vs. BoltDB vs. etcd vs. Hive

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBoltDB  Xexclude from comparisonetcd  Xexclude from comparisonHive  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embedded key-value store for Go.A distributed reliable key-value storedata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSKey-value storeKey-value storeRelational 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#220  Overall
#31  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitephoenix.apache.orggithub.com/­boltdb/­boltetcd.io
github.com/­etcd-io/­etcd
hive.apache.org
Technical documentationphoenix.apache.orgetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software FoundationApache Software Foundation infoinitially developed by Facebook
Initial release201420132012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4, August 20193.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0Open 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 languageJavaGoGoJava
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
Windows infoexperimental
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesyesnonoyes
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methodsJDBCgRPC
JSON over HTTP
JDBC
ODBC
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnonoyes infouser defined functions and integration of map-reduce
Triggersnonoyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynonoAccess rights for users, groups and roles

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More resources
Apache PhoenixBoltDBetcdHive
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