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DBMS > Google Cloud Spanner vs. JaguarDB vs. JanusGraph vs. Kyligence Enterprise vs. Lovefield

System Properties Comparison Google Cloud Spanner vs. JaguarDB vs. JanusGraph vs. Kyligence Enterprise vs. Lovefield

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonJaguarDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionA 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.Performant, highly scalable DBMS for AI and IoT applicationsA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A distributed analytics engine for big data, built on top of Apache KylinEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSKey-value store
Vector DBMS
Graph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
#16  Vector DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Websitecloud.google.com/­spannerwww.jaguardb.comjanusgraph.orgkyligence.io/­kyligence-enterprisegoogle.github.io/­lovefield
Technical documentationcloud.google.com/­spanner/­docswww.jaguardb.com/­support.htmldocs.janusgraph.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperGoogleDataJaguar, Inc.Linux Foundation; originally developed as Titan by AureliusKyligence, Inc.Google
Initial release20172015201720162014
Current release3.3 July 20231.0.0, October 20232.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesJavaJavaJavaScript
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoANSI SQL for queries (using Apache Calcite)SQL-like query language infovia JavaScript builder pattern
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
JavaScript
Server-side scripts infoStored proceduresnonoyesno
TriggersnonoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsUser authentification and security via Rexster Graph Serverno

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More resources
Google Cloud SpannerJaguarDBJanusGraph infosuccessor of TitanKyligence EnterpriseLovefield
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