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DBMS > atoti vs. Google Cloud Datastore vs. Quasardb vs. searchxml vs. Typesense

System Properties Comparison atoti vs. Google Cloud Datastore vs. Quasardb vs. searchxml vs. Typesense

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonQuasardb  Xexclude from comparisonsearchxml  Xexclude from comparisonTypesense  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 PlatformDistributed, high-performance timeseries databaseDBMS for structured and unstructured content wrapped with an application serverA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelObject oriented DBMSDocument storeTime Series DBMSNative XML DBMS
Search engine
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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.76
Rank#219  Overall
#14  Search engines
Websiteatoti.iocloud.google.com/­datastorequasar.aiwww.searchxml.net/­category/­productstypesense.org
Technical documentationdocs.atoti.iocloud.google.com/­datastore/­docsdoc.quasar.ai/­masterwww.searchxml.net/­support/­handoutstypesense.org/­docs
DeveloperActiveViamGooglequasardbinformationpartners gmbh
Initial release2008200920152015
Current release3.14.1, January 20241.0
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoGPL V3
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++C++
Server operating systemshostedBSD
Linux
OS X
Windows
WindowsLinux
Data schemeschema-freeschema-freeschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyes, details hereyes infointeger and binaryyesyes
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 indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query language (GQL)SQL-like query languagenono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infomost other programming languages supported via APIs.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresPythonusing Google App Enginenoyes infoon the application serverno
TriggersCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replication with selectable replication factoryes infosychronisation to multiple collectionsMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowwith Hadoop integrationnono
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 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 TransactionsACIDmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modenoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Cryptographically strong user authentication and audit trailDomain, group and role-based access control at the document level and for application services

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More resources
atotiGoogle Cloud DatastoreQuasardbsearchxmlTypesense
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