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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. etcd vs. Geode

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. etcd vs. Geode

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonGeode  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed reliable key-value storeGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
geode.apache.org
Technical documentationphoenix.apache.orgetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
geode.apache.org/­docs
DeveloperApache Software FoundationAtos Convergence CreatorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release201420162002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917033.4, August 20191.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as Gemfire
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoJava
Server operating systemsLinux
Unix
Windows
LinuxFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM infothe JDK (8 or later) is also required
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalnoyes
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.noyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesnonoSQL-like query language (OQL)
APIs and other access methodsJDBCLDAPgRPC
JSON over HTTP
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresuser defined functionsnonouser defined functions
Triggersnoyesyes, watching key changesyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoyes, on a single node
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.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationnoAccess rights per client and object definable

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Apache PhoenixAtos Standard Common RepositoryetcdGeode
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