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DBMS > Memcached vs. Spark SQL vs. Stardog vs. TerarkDB vs. TinkerGraph

System Properties Comparison Memcached vs. Spark SQL vs. Stardog vs. TerarkDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparisonTerarkDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value storeRelational DBMSGraph DBMS
RDF store
Key-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.08
Rank#32  Overall
#4  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.memcached.orgspark.apache.org/­sqlwww.stardog.comgithub.com/­bytedance/­terarkdbtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software FoundationStardog-UnionByteDance, originally Terark
Initial release20032014201020162009
Current release1.6.27, May 20243.5.0 ( 2.13), September 20237.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial inforestricted open source version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaJavaC++Java
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nono infoImport/export of XML data possiblenono
Secondary indexesnonoyes infosupports real-time indexing in full-text and geospatialnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Servernono
APIs and other access methodsProprietary protocolJDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
C++ API
Java API
TinkerPop 3
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Javanono
Triggersnonoyes infovia event handlersnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication in HA-Clusternonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-Clusternone
Foreign keys infoReferential integritynonoyes inforelationships in graphsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentnoyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolnoAccess rights for users and rolesnono

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More resources
MemcachedSpark SQLStardogTerarkDBTinkerGraph
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