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DBMS > BoltDB vs. Hive vs. InterSystems Caché vs. IRONdb vs. Kinetica

System Properties Comparison BoltDB vs. Hive vs. InterSystems Caché vs. IRONdb vs. Kinetica

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHive  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embedded key-value store for Go.data warehouse software for querying and managing large distributed datasets, built on HadoopA multi-model DBMS and application serverA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUs
Primary database modelKey-value storeRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitegithub.com/­boltdb/­bolthive.apache.orgwww.intersystems.com/­products/­cachewww.circonus.com/solutions/time-series-database/www.kinetica.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.comdocs.circonus.com/irondb/category/getting-starteddocs.kinetica.com
DeveloperApache Software Foundation infoinitially developed by FacebookInterSystemsCirconus LLC.Kinetica
Initial release20132012199720172012
Current release3.1.3, April 20222018.1.4, May 2020V0.10.20, January 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2commercialcommercialcommercial
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 languageGoJavaC and C++C, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes infotext, numeric, histogramsyes
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.noyesnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesGoC++
Java
PHP
Python
C#
C++
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesyes, in Luauser defined functions
Triggersnonoyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replicationconfigurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnono
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.noyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users, groups and rolesAccess rights for users, groups and rolesnoAccess rights for users and roles on table level

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More resources
BoltDBHiveInterSystems CachéIRONdbKinetica
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