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DBMS > BoltDB vs. JaguarDB vs. Netezza vs. Sqrrl

System Properties Comparison BoltDB vs. JaguarDB vs. Netezza vs. Sqrrl

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.Performant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeKey-value store
Vector DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  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/­boltdb/­boltwww.jaguardb.comwww.ibm.com/­products/­netezzasqrrl.com
Technical documentationwww.jaguardb.com/­support.html
DeveloperDataJaguar, Inc.IBMAmazon infooriginally Sqrrl Data, Inc.
Initial release2013201520002012
Current release3.3 July 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ infothe server part. Clients available in other languagesJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux infoincluded in applianceLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGoC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDAtomic updates per row, document, or graph entity
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 controlnorights management via user accountsUsers with fine-grained authorization conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BoltDBJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSqrrl
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