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DBMS > BoltDB vs. Google Cloud Datastore vs. IBM Db2 vs. Kinetica vs. OpenQM

System Properties Comparison BoltDB vs. Google Cloud Datastore vs. IBM Db2 vs. Kinetica vs. OpenQM

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCommon in IBM host environments, 2 different versions for host and Windows/LinuxFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value storeDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial 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
Score4.47
Rank#76  Overall
#12  Document stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitegithub.com/­boltdb/­boltcloud.google.com/­datastorewww.ibm.com/­products/­db2www.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationcloud.google.com/­datastore/­docswww.ibm.com/­docs/­en/­db2docs.kinetica.com
DeveloperGoogleIBMKineticaRocket Software, originally Martin Phillips
Initial release201320081983 infohost version20121993
Current release12.1, October 20167.1, August 20213.4-12
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infofree version is availablecommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes infowith some exceptions
Typing infopredefined data types such as float or datenoyes, details hereyesyes
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.nononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesSQL-like DML and DDL statementsno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnousing Google App Engineyesuser defined functionsyes
TriggersnoCallbacks using the Google Apps Engineyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoonly with Windows/Unix/Linux VersionShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using Paxosyes infowith separate tools (MQ, InfoSphere)Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID
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 infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights can be defined down to the item level

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More resources
BoltDBGoogle Cloud DatastoreIBM Db2 infoformerly named DB2 or IBM Database 2KineticaOpenQM infoalso called QM
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