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DBMS > Google Cloud Datastore vs. Infobright vs. InterSystems Caché vs. JaguarDB

System Properties Comparison Google Cloud Datastore vs. Infobright vs. InterSystems Caché vs. JaguarDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInfobright  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonJaguarDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA multi-model DBMS and application serverPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelDocument storeRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Vector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Websitecloud.google.com/­datastoreignitetech.com/­softwarelibrary/­infobrightdbwww.intersystems.com/­products/­cachewww.jaguardb.com
Technical documentationcloud.google.com/­datastore/­docsdocs.intersystems.comwww.jaguardb.com/­support.html
DeveloperGoogleIgnite Technologies Inc.; formerly InfoBright Inc.InterSystemsDataJaguar, Inc.
Initial release2008200519972015
Current release2018.1.4, May 20203.3 July 2023
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infoGPL V3.0
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 languageCC++ infothe server part. Clients available in other languages
Server operating systemshostedLinux
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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 indexesyesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresusing Google App Enginenoyesno
TriggersCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationSource-replica replicationMulti-source replication
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 ConsistencyEventual 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 TransactionsACIDACIDno
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.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users, groups and rolesrights management via user accounts

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More resources
Google Cloud DatastoreInfobrightInterSystems CachéJaguarDB
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