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DBMS > AgensGraph vs. Drizzle vs. Google BigQuery vs. Netezza

System Properties Comparison AgensGraph vs. Drizzle vs. Google BigQuery vs. Netezza

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle BigQuery  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.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Large scale data warehouse service with append-only tablesData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitebitnine.net/­agensgraphcloud.google.com/­bigquerywww.ibm.com/­products/­netezza
Technical documentationbitnine.net/­documentationcloud.google.com/­bigquery/­docs
DeveloperBitnine Global Inc.Drizzle project, originally started by Brian AkerGoogleIBM
Initial release2016200820102000
Current release2.1, December 20187.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinux infoincluded in appliance
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesyes
APIs and other access methodsCypher Query Language
JDBC
JDBCRESTful HTTP/JSON APIJDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
C
C++
Java
PHP
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesnouser defined functions infoin JavaScriptyes
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept

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More resources
AgensGraphDrizzleGoogle BigQueryNetezza infoAlso called PureData System for Analytics by IBM
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