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DBMS > AnzoGraph DB vs. Google Cloud Spanner vs. Heroic vs. Kinetica vs. Trafodion

System Properties Comparison AnzoGraph DB vs. Google Cloud Spanner vs. Heroic vs. Kinetica vs. Trafodion

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA 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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitecambridgesemantics.com/­anzographcloud.google.com/­spannergithub.com/­spotify/­heroicwww.kinetica.comtrafodion.apache.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcloud.google.com/­spanner/­docsspotify.github.io/­heroicdocs.kinetica.comtrafodion.apache.org/­documentation.html
DeveloperCambridge SemanticsGoogleSpotifyKineticaApache Software Foundation, originally developed by HP
Initial release20182017201420122014
Current release2.3, January 20217.1, August 20212.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C++, Java
Server operating systemsLinuxhostedLinuxLinux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesyes
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.nonononono
Secondary indexesnoyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infoQuery statements complying to ANSI 2011noSQL-like DML and DDL statementsyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonouser defined functionsJava Stored Procedures
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication with 3 replicas for regional instances.yesSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infousing Google Cloud Dataflownonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBGoogle Cloud SpannerHeroicKineticaTrafodion
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