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

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

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBadger  Xexclude from comparisonDolphinDB  Xexclude from comparisonDrizzle  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.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
Relational DBMS
Key-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational 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
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitebitnine.net/­agensgraphgithub.com/­dgraph-io/­badgerwww.dolphindb.comwww.ibm.com/­products/­netezza
Technical documentationbitnine.net/­documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperBitnine Global Inc.DGraph LabsDolphinDB, IncDrizzle project, originally started by Brian AkerIBM
Initial release20162017201820082000
Current release2.1, December 2018v2.00.4, January 20227.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercial infofree community version availableOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoC++C++
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
FreeBSD
Linux
OS X
Linux infoincluded in appliance
Data schemedepending on used data modelschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyes infowith proprietary extensionsyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCJDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
GoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesnoyesnoyes
Triggersnononono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDACID
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAdministrators, Users, GroupsPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization concept

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More resources
AgensGraphBadgerDolphinDBDrizzleNetezza infoAlso called PureData System for Analytics by IBM
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