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

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

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonsearchxml  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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 server
Primary database modelObject oriented DBMSRelational DBMSDocument storeDocument storeNative 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
Score0.60
Rank#246  Overall
#39  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteatoti.iocloud.google.com/­datastorewww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.searchxml.net/­category/­products
Technical documentationdocs.atoti.iocloud.google.com/­datastore/­docsdocs.percona.com/­percona-distribution-for-mongodbwww.searchxml.net/­support/­handouts
DeveloperActiveViamDrizzle project, originally started by Brian AkerGooglePerconainformationpartners gmbh
Initial release2008200820152015
Current release7.2.4, September 20123.4.10-2.10, November 20171.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoGNU GPLcommercialOpen Source infoGPL Version 2commercial
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 languageJavaC++C++C++
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxWindows
Data schemeyesschema-freeschema-freeschema-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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infowith proprietary extensionsSQL-like query language (GQL)nono
APIs and other access methodsJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
proprietary protocol using JSONRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C++
Java
PHP
.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 APIs
Server-side scripts infoStored proceduresPythonnousing Google App EngineJavaScriptyes infoon the application server
Triggersno infohooks for callbacks inside the server can be used.Callbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using PaxosSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyesno
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 integrityyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnomultiple 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.yesnoyes infovia In-Memory Engineno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess 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
atotiDrizzleGoogle Cloud DatastorePercona Server for MongoDBsearchxml
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