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DBMS > etcd vs. Geode vs. InterSystems Caché vs. Postgres-XL vs. VelocityDB

System Properties Comparison etcd vs. Geode vs. InterSystems Caché vs. Postgres-XL vs. VelocityDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGeode  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVelocityDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA distributed reliable key-value storeGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA multi-model DBMS and application serverBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
geode.apache.orgwww.intersystems.com/­products/­cachewww.postgres-xl.orgvelocitydb.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
geode.apache.org/­docsdocs.intersystems.comwww.postgres-xl.org/­documentationvelocitydb.com/­UserGuide
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.InterSystemsVelocityDB Inc
Initial release200219972014 infosince 2012, originally named StormDB2011
Current release3.4, August 20191.1, February 20172018.1.4, May 202010 R1, October 20187.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaCC#
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Any that supports .NET
Data schemeschema-freeschema-freedepending on used data modelyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonoyesyes infoXML type, but no XML query functionalityno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (OQL)yesyes infodistributed, parallel query executionno
APIs and other access methodsgRPC
JSON over HTTP
Java Client API
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
Supported programming languages.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
C#
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Server-side scripts infoStored proceduresnouser defined functionsyesuser defined functionsno
Triggersyes, watching key changesyes infoCache Event ListenersyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesnoyes
User concepts infoAccess controlnoAccess rights per client and object definableAccess rights for users, groups and rolesfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
etcdGeodeInterSystems CachéPostgres-XLVelocityDB
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