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DBMS > AnzoGraph DB vs. Brytlyt vs. Drizzle vs. HBase vs. Netezza

System Properties Comparison AnzoGraph DB vs. Brytlyt vs. Drizzle vs. HBase vs. Netezza

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDrizzle  Xexclude from comparisonHBase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle 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 virtualizationScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Wide-column store based on Apache Hadoop and on concepts of BigTableData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSWide column storeRelational 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
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitecambridgesemantics.com/­anzographbrytlyt.iohbase.apache.orgwww.ibm.com/­products/­netezza
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.brytlyt.iohbase.apache.org/­book.html
DeveloperCambridge SemanticsBrytlytDrizzle project, originally started by Brian AkerApache Software Foundation infoApache top-level project, originally developed by PowersetIBM
Initial release20182016200820082000
Current release2.3, January 20215.0, August 20237.2.4, September 20122.3.4, January 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoGNU GPLOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++Java
Server operating systemsLinuxLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
Linux infoincluded in appliance
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyes infowith proprietary extensionsnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJava API
RESTful HTTP API
Thrift
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions infoin PL/pgSQLnoyes infoCoprocessors in Javayes
Triggersnoyesno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDSingle row ACID (across millions of columns)ACID
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
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authorization concept

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More resources
AnzoGraph DBBrytlytDrizzleHBaseNetezza infoAlso called PureData System for Analytics by IBM
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