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DBMS > Google Cloud Datastore vs. HarperDB vs. InterSystems IRIS vs. STSdb

System Properties Comparison Google Cloud Datastore vs. HarperDB vs. InterSystems IRIS vs. STSdb

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHarperDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument storeDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score0.55
Rank#243  Overall
#38  Document stores
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitecloud.google.com/­datastorewww.harperdb.iowww.intersystems.com/­products/­intersystems-irisgithub.com/­STSSoft/­STSdb4
Technical documentationcloud.google.com/­datastore/­docsdocs.harperdb.io/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperGoogleHarperDBInterSystemsSTS Soft SC
Initial release2008201720182011
Current release3.1, August 20212023.3, June 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsC#
Server operating systemshostedLinux
OS X
AIX
Linux
macOS
Ubuntu
Windows
Windows
Data schemeschema-freedynamic schemadepending on used data modelyes
Typing infopredefined data types such as float or dateyes, details hereyes infoJSON data typesyesyes infoprimitive types and user defined types (classes)
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.nonoyes
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like data manipulation statementsyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
.NET Client API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.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
.Net
C++
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresusing Google App EngineCustom Functions infosince release 3.1yesno
TriggersCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infothe nodes on which a table resides can be definedSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
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, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesyesno
More information provided by the system vendor
Google Cloud DatastoreHarperDBInterSystems IRISSTSdb
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Google Cloud DatastoreHarperDBInterSystems IRISSTSdb
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