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DBMS > AnzoGraph DB vs. dBASE vs. Spark SQL

System Properties Comparison AnzoGraph DB vs. dBASE vs. Spark SQL

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisondBASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
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.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score11.18
Rank#44  Overall
#28  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.dbase.comspark.apache.org/­sql
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.dbase.com/­support/­knowledgebasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCambridge SemanticsAsthon TateApache Software Foundation
Initial release201819792014
Current release2.3, January 2021dBASE 2019, 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-like DML and DDL statements
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.JDBC
ODBC
Supported programming languagesC++
Java
Python
dBase proprietary IDEJava
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-Cluster
Foreign keys infoReferential integrityno infonot needed in graphsyesno
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 DBMSno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesno

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AnzoGraph DBdBASESpark SQL
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