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DBMS > atoti vs. Google Cloud Datastore vs. GridGain vs. SAP SQL Anywhere vs. searchxml

System Properties Comparison atoti vs. Google Cloud Datastore vs. GridGain vs. SAP SQL Anywhere vs. searchxml

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGridGain  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformGridGain is an in-memory computing platform, built on Apache IgniteRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsDBMS for structured and unstructured content wrapped with an application server
Primary database modelObject oriented DBMSDocument storeKey-value store
Relational DBMS
Relational DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteatoti.iocloud.google.com/­datastorewww.gridgain.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.searchxml.net/­category/­products
Technical documentationdocs.atoti.iocloud.google.com/­datastore/­docswww.gridgain.com/­docs/­index.htmlhelp.sap.com/­docs/­SAP_SQL_Anywherewww.searchxml.net/­support/­handouts
DeveloperActiveViamGoogleGridGain Systems, Inc.SAP infoformerly Sybaseinformationpartners gmbh
Initial release2008200719922015
Current releaseGridGain 8.5.117, July 20151.0
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialcommercialcommercial
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 languageJavaJava, C++, .NetC++
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Windows
Data schemeschema-freeyesyesschema-free
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.noyesyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query language (GQL)ANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
HTTP API
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonusing Google App Engineyes (compute grid and cache interceptors can be used instead)yes, in C/C++, Java, .Net or Perlyes infoon the application server
TriggersCallbacks using the Google Apps Engineyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes (replicated cache)Source-replica replication infoDatabase mirroringyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)nono
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 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 TransactionsACIDACIDmultiple 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.yesnoyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
atotiGoogle Cloud DatastoreGridGainSAP SQL Anywhere infoformerly called Adaptive Server Anywheresearchxml
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