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DBMS > Badger vs. IRONdb vs. JaguarDB vs. Netezza

System Properties Comparison Badger vs. IRONdb vs. JaguarDB vs. Netezza

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonIRONdb  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityPerformant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeTime Series DBMSKey-value store
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.circonus.com/solutions/time-series-database/www.jaguardb.comwww.ibm.com/­products/­netezza
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.circonus.com/irondb/category/getting-startedwww.jaguardb.com/­support.html
DeveloperDGraph LabsCirconus LLC.DataJaguar, Inc.IBM
Initial release2017201720152000
Current releaseV0.10.20, January 20183.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C++ infothe server part. Clients available in other languages
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinux infoincluded in appliance
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infotext, numeric, histogramsyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsHTTP APIJDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesGo.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyes, in Luanoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter awareMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.nonono
User concepts infoAccess controlnonorights management via user accountsUsers with fine-grained authorization concept

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More resources
BadgerIRONdbJaguarDBNetezza infoAlso called PureData System for Analytics by IBM
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