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DBMS > AnzoGraph DB vs. HBase vs. OpenEdge vs. Spark SQL vs. Trafodion

System Properties Comparison AnzoGraph DB vs. HBase vs. OpenEdge vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonHBase  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  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 virtualizationWide-column store based on Apache Hadoop and on concepts of BigTableApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMSRelational DBMSRelational 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitecambridgesemantics.com/­anzographhbase.apache.orgwww.progress.com/­openedgespark.apache.org/­sqltrafodion.apache.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmhbase.apache.org/­book.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by PowersetProgress Software CorporationApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20182008198420142014
Current release2.3, January 20212.3.4, January 2021OpenEdge 12.2, March 20203.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache version 2commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++, Java
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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.nonoyesnono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infoclose to SQL 92SQL-like DML and DDL statementsyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoCoprocessors in JavayesnoJava Stored Procedures
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning infosince Version 11.4yes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
Source-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDnoACID
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.yesyesnonono
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers and groupsnofine grained access rights according to SQL-standard

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More resources
AnzoGraph DBHBaseOpenEdgeSpark SQLTrafodion
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