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DBMS > atoti vs. GigaSpaces vs. Google Cloud Datastore vs. InterSystems Caché vs. searchxml

System Properties Comparison atoti vs. GigaSpaces vs. Google Cloud Datastore vs. InterSystems Caché vs. searchxml

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonsearchxml  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA multi-model DBMS and application serverDBMS for structured and unstructured content wrapped with an application server
Primary database modelObject oriented DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document storeKey-value store
Object oriented DBMS
Relational DBMS
Native XML DBMS
Search engine
Secondary database modelsGraph DBMS
Search engine
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websiteatoti.iowww.gigaspaces.comcloud.google.com/­datastorewww.intersystems.com/­products/­cachewww.searchxml.net/­category/­products
Technical documentationdocs.atoti.iodocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­datastore/­docsdocs.intersystems.comwww.searchxml.net/­support/­handouts
DeveloperActiveViamGigaspaces TechnologiesGoogleInterSystemsinformationpartners gmbh
Initial release2000200819972015
Current release15.5, September 20202018.1.4, May 20201.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC++
Server operating systemsLinux
macOS
Solaris
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Windows
Data schemeschema-freeschema-freedepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesyes, 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.no infoXML can be used for describing objects metadatanoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-99 for query and DML statementsSQL-like query language (GQL)yesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
C++
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonyesusing Google App Engineyesyes infoon the application server
Triggersyes, event driven architectureCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication using PaxosSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate 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 integritynoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesyesnoyesno
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesDomain, group and role-based access control at the document level and for application services

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More resources
atotiGigaSpacesGoogle Cloud DatastoreInterSystems Cachésearchxml
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