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DBMS > AgensGraph vs. Badger vs. Drizzle vs. etcd vs. Netezza

System Properties Comparison AgensGraph vs. Badger vs. Drizzle vs. etcd vs. Netezza

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonetcd  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 PostgreSQLAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed reliable key-value storeData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitebitnine.net/­agensgraphgithub.com/­dgraph-io/­badgeretcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­netezza
Technical documentationbitnine.net/­documentationgodoc.org/­github.com/­dgraph-io/­badgeretcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
DeveloperBitnine Global Inc.DGraph LabsDrizzle project, originally started by Brian AkerIBM
Initial release2016201720082000
Current release2.1, December 20187.2.4, September 20123.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoGNU GPLOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++Go
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
FreeBSD
Linux
Windows infoexperimental
Linux infoincluded in appliance
Data schemedepending on used data modelschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsnoyes
APIs and other access methodsCypher Query Language
JDBC
JDBCgRPC
JSON over HTTP
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
GoC
C++
Java
PHP
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesnononoyes
Triggersnonono infohooks for callbacks inside the server can be used.yes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoPluggable authentication mechanisms infoe.g. LDAP, HTTPnoUsers with fine-grained authorization concept

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AgensGraphBadgerDrizzleetcdNetezza infoAlso called PureData System for Analytics by IBM
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