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DBMS > AnzoGraph DB vs. Google Cloud Spanner vs. Graphite vs. HyperSQL vs. Hypertable

System Properties Comparison AnzoGraph DB vs. Google Cloud Spanner vs. Graphite vs. HyperSQL vs. Hypertable

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGraphite  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Websitecambridgesemantics.com/­anzographcloud.google.com/­spannergithub.com/­graphite-project/­graphite-webhsqldb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcloud.google.com/­spanner/­docsgraphite.readthedocs.iohsqldb.org/­web/­hsqlDocsFrame.html
DeveloperCambridge SemanticsGoogleChris DavisHypertable Inc.
Initial release20182017200620012009
Current release2.3, January 20212.7.2, June 20230.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache 2.0Open Source infobased on BSD licenseOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC++
Server operating systemsLinuxhostedLinux
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesno
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.nononono
Secondary indexesnoyesnoyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infoQuery statements complying to ANSI 2011noyesno
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
HTTP API
Sockets
HTTP API infoJDBC via HTTP
JDBC
ODBC
C++ API
Thrift
Supported programming languagesC++
Java
Python
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC
Java
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoJava, SQLno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication with 3 replicas for regional instances.nonenoneselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardno

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More resources
AnzoGraph DBGoogle Cloud SpannerGraphiteHyperSQL infoalso known as HSQLDBHypertable
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