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DBMS > Elasticsearch vs. EsgynDB vs. Memgraph vs. Riak KV

System Properties Comparison Elasticsearch vs. EsgynDB vs. Memgraph vs. Riak KV

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonMemgraph  Xexclude from comparisonRiak KV  Xexclude from comparison
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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source graph database built for real-time streaming and compatible with Neo4jDistributed, fault tolerant key-value store
Primary database modelSearch engineRelational DBMSGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.78
Rank#7  Overall
#1  Search engines
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score3.00
Rank#102  Overall
#8  Graph DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Websitewww.elastic.co/­elasticsearchwww.esgyn.cnmemgraph.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmemgraph.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperElasticEsgynMemgraph LtdOpenSource, formerly Basho Technologies
Initial release2010201520172009
Current release8.6, January 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercial infoFree license availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaC and C++Erlang
Server operating systemsAll OS with a Java VMLinuxLinuxLinux
OS X
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyes infoAll search fields are automatically indexedyesrestricted
SQL infoSupport of SQLSQL-like query languageyesnono
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
HTTP API
Native Erlang Interface
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesJava Stored ProceduresErlang
Triggersyes infoby using the 'percolation' featurenoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersMulti-source replication using RAFTselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesnoyes
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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsyes, using Riak Security
More information provided by the system vendor
ElasticsearchEsgynDBMemgraphRiak KV
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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ElasticsearchEsgynDBMemgraphRiak KV
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