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DBMS > EsgynDB vs. Google Cloud Spanner vs. JanusGraph vs. LokiJS vs. PouchDB

System Properties Comparison EsgynDB vs. Google Cloud Spanner vs. JanusGraph vs. LokiJS vs. PouchDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLokiJS  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017In-memory JavaScript DBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSGraph DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.esgyn.cncloud.google.com/­spannerjanusgraph.orggithub.com/­techfort/­LokiJSpouchdb.com
Technical documentationcloud.google.com/­spanner/­docsdocs.janusgraph.orgtechfort.github.io/­LokiJSpouchdb.com/­guides
DeveloperEsgynGoogleLinux Foundation; originally developed as Titan by AureliusApache Software Foundation
Initial release20152017201720142012
Current release0.6.3, February 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaJavaScriptJavaScript
Server operating systemsLinuxhostedLinux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nonononono
Secondary indexesyesyesyesyes infovia viewsyes infovia views
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011nonono
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JavaScript APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
JavaScriptJavaScript
Server-side scripts infoStored proceduresJava Stored ProceduresnoyesView functions in JavaScriptView functions in JavaScript
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication with 3 replicas for regional instances.yesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowyes infovia Faunus, a graph analytics engineyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
noneEventual Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDno infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph Servernono

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More resources
EsgynDBGoogle Cloud SpannerJanusGraph infosuccessor of TitanLokiJSPouchDB
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