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DBMS > atoti vs. Google Cloud Datastore vs. Percona Server for MongoDB vs. searchxml vs. XTDB

System Properties Comparison atoti vs. Google Cloud Datastore vs. Percona Server for MongoDB vs. searchxml vs. XTDB

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonsearchxml  Xexclude from comparisonXTDB infoformerly named Crux  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 PlatformA drop-in replacement for MongoDB Community Edition with enterprise-grade features.DBMS for structured and unstructured content wrapped with an application serverA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelObject oriented DBMSDocument storeDocument storeNative XML DBMS
Search engine
Document store
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
Score0.60
Rank#246  Overall
#39  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websiteatoti.iocloud.google.com/­datastorewww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.searchxml.net/­category/­productsgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.atoti.iocloud.google.com/­datastore/­docsdocs.percona.com/­percona-distribution-for-mongodbwww.searchxml.net/­support/­handoutswww.xtdb.com/­docs
DeveloperActiveViamGooglePerconainformationpartners gmbhJuxt Ltd.
Initial release2008201520152019
Current release3.4.10-2.10, November 20171.01.19, September 2021
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoGPL Version 2commercialOpen Source infoMIT License
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 languageJavaC++C++Clojure
Server operating systemshostedLinuxWindowsAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyes, extensible-data-notation format
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 indexesyesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query language (GQL)nonolimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
proprietary protocol using JSONRESTful HTTP API
WebDAV
XQuery
XSLT
HTTP REST
JDBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C++ infomost other programming languages supported via APIsClojure
Java
Server-side scripts infoStored proceduresPythonusing Google App EngineJavaScriptyes infoon the application serverno
TriggersCallbacks using the Google Apps Enginenonono
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 PaxosSource-replica replicationyes infosychronisation to multiple collectionsyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesnono
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.Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infovia In-Memory Engineno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesDomain, group and role-based access control at the document level and for application services

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More resources
atotiGoogle Cloud DatastorePercona Server for MongoDBsearchxmlXTDB infoformerly named Crux
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