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DBMS > Google Cloud Spanner vs. Hive vs. JanusGraph vs. KairosDB

System Properties Comparison Google Cloud Spanner vs. Hive vs. JanusGraph vs. KairosDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHive  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKairosDB  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.data warehouse software for querying and managing large distributed datasets, built on HadoopA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Distributed Time Series DBMS based on Cassandra or H2
Primary database modelRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitecloud.google.com/­spannerhive.apache.orgjanusgraph.orggithub.com/­kairosdb/­kairosdb
Technical documentationcloud.google.com/­spanner/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.janusgraph.orgkairosdb.github.io
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookLinux Foundation; originally developed as Titan by Aurelius
Initial release2017201220172013
Current release3.1.3, April 20220.6.3, February 20231.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemshostedAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statementsnono
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
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
Clojure
Java
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.selectable replication factoryesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes infoquery execution via MapReduceyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesUser authentification and security via Rexster Graph Serversimple password-based access control

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More resources
Google Cloud SpannerHiveJanusGraph infosuccessor of TitanKairosDB
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