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DBMS > EsgynDB vs. etcd vs. GridGain vs. LokiJS vs. Stardog

System Properties Comparison EsgynDB vs. etcd vs. GridGain vs. LokiJS vs. Stardog

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonetcd  Xexclude from comparisonGridGain  Xexclude from comparisonLokiJS  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed reliable key-value storeGridGain is an in-memory computing platform, built on Apache IgniteIn-memory JavaScript DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Document storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.esgyn.cnetcd.io
github.com/­etcd-io/­etcd
www.gridgain.comgithub.com/­techfort/­LokiJSwww.stardog.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.gridgain.com/­docs/­index.htmltechfort.github.io/­LokiJSdocs.stardog.com
DeveloperEsgynGridGain Systems, Inc.Stardog-Union
Initial release2015200720142010
Current release3.4, August 2019GridGain 8.5.17.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaGoJava, C++, .NetJavaScriptJava
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeyesschema-freeyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonoyesnono infoImport/export of XML data possible
Secondary indexesyesnoyesyes infovia viewsyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JavaScript APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes (compute grid and cache interceptors can be used instead)View functions in JavaScriptuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes, watching key changesyes (cache interceptors and events)yesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes (replicated cache)noneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoSecurity Hooks for custom implementationsnoAccess rights for users and roles

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More resources
EsgynDBetcdGridGainLokiJSStardog
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