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DBMS > AnzoGraph DB vs. Apache Phoenix vs. BigObject vs. VoltDB

System Properties Comparison AnzoGraph DB vs. Apache Phoenix vs. BigObject vs. VoltDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBigObject  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic DBMS for real-time computations and queriesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational 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
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitecambridgesemantics.com/­anzographphoenix.apache.orgbigobject.iowww.voltdb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmphoenix.apache.orgdocs.bigobject.iodocs.voltdb.com
DeveloperCambridge SemanticsApache Software FoundationBigObject, Inc.VoltDB Inc.
Initial release2018201420152010
Current release2.3, January 20215.0-HBase2, July 2018 and 4.15-HBase1, December 201911.3, April 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++
Server operating systemsLinuxLinux
Unix
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X infofor development
Data schemeSchema-free and OWL/RDFS-schema supportyes infolate-bound, schema-on-read capabilitiesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like DML and DDL statementsyes infoonly a subset of SQL 99
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCfluentd
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsLuaJava
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistencynone
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infoautomatically between fact table and dimension tablesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoUsers and roles with access to stored procedures

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More resources
AnzoGraph DBApache PhoenixBigObjectVoltDB
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