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DBMS > AnzoGraph DB vs. dBASE vs. Hypertable vs. Kinetica vs. Sequoiadb

System Properties Comparison AnzoGraph DB vs. dBASE vs. Hypertable vs. Kinetica vs. Sequoiadb

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisondBASE  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonSequoiadb  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 virtualizationdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.An open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUsNewSQL database with distributed OLTP and SQL
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.dbase.comwww.kinetica.comwww.sequoiadb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.dbase.com/­support/­knowledgebasedocs.kinetica.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperCambridge SemanticsAsthon TateHypertable Inc.KineticaSequoiadb Ltd.
Initial release20181979200920122013
Current release2.3, January 2021dBASE 2019, 20190.9.8.11, March 20167.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infooid, date, timestamp, binary, regex
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 indexesnoyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
none infoThe IDE can access other DBMS or ODBC-sources.C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC++
Java
Python
dBase proprietary IDEC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.nouser defined functionsJavaScript
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 shardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneselectable replication factor on file system levelSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnonoDocument is locked during a transaction
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.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesnoAccess rights for users and roles on table levelsimple password-based access control

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More resources
AnzoGraph DBdBASEHypertableKineticaSequoiadb
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