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DBMS > AnzoGraph DB vs. GeoMesa vs. Google Cloud Spanner vs. Kyligence Enterprise vs. searchxml

System Properties Comparison AnzoGraph DB vs. GeoMesa vs. Google Cloud Spanner vs. Kyligence Enterprise vs. searchxml

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A 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 distributed analytics engine for big data, built on top of Apache KylinDBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMS
RDF store
Spatial DBMSRelational DBMSRelational DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitecambridgesemantics.com/­anzographwww.geomesa.orgcloud.google.com/­spannerkyligence.io/­kyligence-enterprisewww.searchxml.net/­category/­products
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­spanner/­docswww.searchxml.net/­support/­handouts
DeveloperCambridge SemanticsCCRi and othersGoogleKyligence, Inc.informationpartners gmbh
Initial release20182014201720162015
Current release2.3, January 20215.0.0, May 20241.0
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache License 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaC++
Server operating systemsLinuxhostedLinuxWindows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesschema-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.nonononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infoQuery statements complying to ANSI 2011ANSI SQL for queries (using Apache Calcite)no
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
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
Python
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes infoon the application server
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingdepending on storage layerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterdepending on storage layerMulti-source replication with 3 replicas for regional instances.yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-Clusterdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoStrict serializable isolationmultiple readers, single writer
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.yesdepending on storage layernonono
User concepts infoAccess controlAccess rights for users and rolesyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Domain, group and role-based access control at the document level and for application services

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More resources
AnzoGraph DBGeoMesaGoogle Cloud SpannerKyligence Enterprisesearchxml
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