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DBMS > GeoSpock vs. HarperDB vs. InterSystems Caché vs. Riak KV vs. SQream DB

System Properties Comparison GeoSpock vs. HarperDB vs. InterSystems Caché vs. Riak KV vs. SQream DB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHarperDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonRiak KV  Xexclude from comparisonSQream DB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A multi-model DBMS and application serverDistributed, fault tolerant key-value storea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitegeospock.comwww.harperdb.iowww.intersystems.com/­products/­cachesqream.com
Technical documentationdocs.harperdb.io/­docsdocs.intersystems.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.sqream.com
DeveloperGeoSpockHarperDBInterSystemsOpenSource, formerly Basho TechnologiesSQream Technologies
Initial release2017199720092017
Current release2.0, September 20193.1, August 20212018.1.4, May 20203.2.0, December 20222022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptNode.jsErlangC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
OS X
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
Data schemeyesdynamic schemadepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesnoyes, ANSI Standard SQL Types
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.nonoyesno
Secondary indexestemporal, categoricalyesyesrestrictedno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like data manipulation statementsyesnoyes
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
.Net
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesErlanguser defined functions in Python
Triggersnonoyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingA table resides as a whole on one (or more) nodes in a clusternoneSharding infono "single point of failure"horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users and rolesAccess rights for users, groups and rolesyes, using Riak Security

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GeoSpockHarperDBInterSystems CachéRiak KVSQream DB
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