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DBMS > etcd vs. GeoMesa vs. GeoSpock vs. HugeGraph vs. RethinkDB

System Properties Comparison etcd vs. GeoMesa vs. GeoSpock vs. HugeGraph vs. RethinkDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparisonHugeGraph  Xexclude from comparisonRethinkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA distributed reliable key-value storeGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scaleA fast-speed and highly-scalable Graph DBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelKey-value storeSpatial DBMSRelational DBMSGraph DBMSDocument store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.geomesa.orggeospock.comgithub.com/­hugegraph
hugegraph.apache.org
rethinkdb.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.apache.org/­docsrethinkdb.com/­docs
DeveloperCCRi and othersGeoSpockBaiduThe Linux Foundation infosince July 2017
Initial release201420182009
Current release3.4, August 20194.0.5, February 20242.0, September 20190.92.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaJava, JavascriptJavaC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux
macOS
Unix
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes infostring, binary, float, bool, date, geometry
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.nonononono
Secondary indexesnoyestemporal, categoricalyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonoANSI SQL for query only (using Presto)nono
APIs and other access methodsgRPC
JSON over HTTP
JDBCJava API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Groovy
Java
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnononoasynchronous Gremlin script jobs
Triggersyes, watching key changesnononoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerAutomatic shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.depending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
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.nodepending on storage layernoyesno
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageAccess rights for users can be defined per tableUsers, roles and permissionsyes infousers and table-level permissions

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More resources
etcdGeoMesaGeoSpockHugeGraphRethinkDB
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