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DBMS > AgensGraph vs. Apache Druid vs. Drizzle vs. Netezza vs. Oracle Berkeley DB

System Properties Comparison AgensGraph vs. Apache Druid vs. Drizzle vs. Netezza vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Berkeley DB  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 PostgreSQLOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Data warehouse and analytics appliance part of IBM PureSystemsWidely used in-process key-value store
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websitebitnine.net/­agensgraphdruid.apache.orgwww.ibm.com/­products/­netezzawww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationbitnine.net/­documentationdruid.apache.org/­docs/­latest/­designdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperBitnine Global Inc.Apache Software Foundation and contributorsDrizzle project, originally started by Brian AkerIBMOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20162012200820001994
Current release2.1, December 201830.0.0, June 20247.2.4, September 201218.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache license v2Open Source infoGNU GPLcommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
FreeBSD
Linux
OS X
Linux infoincluded in applianceAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemedepending on used data modelyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL for queryingyes infowith proprietary extensionsyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsCypher Query Language
JDBC
JDBC
RESTful HTTP/JSON API
JDBCJDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesnonoyesno
Triggersnonono infohooks for callbacks inside the server can be used.noyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infomanual/auto, time-basedShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptno

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More resources
AgensGraphApache DruidDrizzleNetezza infoAlso called PureData System for Analytics by IBMOracle Berkeley DB
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