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DBMS > Elasticsearch vs. etcd vs. Geode vs. GeoSpock vs. Greenplum

System Properties Comparison Elasticsearch vs. etcd vs. Geode vs. GeoSpock vs. Greenplum

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonetcd  Xexclude from comparisonGeode  Xexclude from comparisonGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA distributed reliable key-value storeGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpatial and temporal data processing engine for extreme data scaleAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelSearch engineKey-value storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Websitewww.elastic.co/­elasticsearchetcd.io
github.com/­etcd-io/­etcd
geode.apache.orggeospock.comgreenplum.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
geode.apache.org/­docsdocs.greenplum.org
DeveloperElasticOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GeoSpockPivotal Software Inc.
Initial release201020022005
Current release8.6, January 20233.4, August 20191.1, February 20172.0, September 20197.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaJava, Javascript
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononoyes infosince Version 4.2
Secondary indexesyes infoAll search fields are automatically indexednonotemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (OQL)ANSI SQL for query only (using Presto)yes
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC
JSON over HTTP
Java Client API
Memcached protocol
RESTful HTTP API
JDBCJDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.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
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesnouser defined functionsnoyes
Triggersyes infoby using the 'percolation' featureyes, watching key changesyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing 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 methodsES-Hadoop Connectornononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodenoACID
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.Memcached and Redis integrationnoyesnono
User concepts infoAccess controlnoAccess rights per client and object definableAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
ElasticsearchetcdGeodeGeoSpockGreenplum
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