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DBMS > etcd vs. HugeGraph vs. MarkLogic vs. Solr

System Properties Comparison etcd vs. HugeGraph vs. MarkLogic vs. Solr

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHugeGraph  Xexclude from comparisonMarkLogic  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA distributed reliable key-value storeA fast-speed and highly-scalable Graph DBMSOperational and transactional Enterprise NoSQL databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeGraph DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score42.91
Rank#24  Overall
#3  Search engines
Websiteetcd.io
github.com/­etcd-io/­etcd
github.com/­hugegraph
hugegraph.apache.org
www.marklogic.comsolr.apache.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hugegraph.apache.org/­docsdocs.marklogic.comsolr.apache.org/­resources.html
DeveloperBaiduMarkLogic Corp.Apache Software Foundation
Initial release201820012006
Current release3.4, August 20190.911.0, December 20229.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2
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 languageGoJavaC++Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Unix
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-free infoSchema can be enforcedyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyes infosupports customizable data types and automatic typing
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
Secondary indexesnoyes infoalso supports composite index and range indexyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyes infoSQL92Solr Parallel SQL Interface
APIs and other access methodsgRPC
JSON over HTTP
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Java API
RESTful HTTP/JSON API
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
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyes infovia XQuery or JavaScriptJava plugins
Triggersyes, watching key changesnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infodepending on used storage backend, e.g. Cassandra and HBaseyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionoptimistic locking
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.noyesyes, with Range Indexesyes
User concepts infoAccess controlnoUsers, roles and permissionsRole-based access control at the document and subdocument levelsyes

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etcdHugeGraphMarkLogicSolr
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