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DBMS > atoti vs. BaseX vs. Google Cloud Datastore vs. HarperDB vs. searchxml

System Properties Comparison atoti vs. BaseX vs. Google Cloud Datastore vs. HarperDB vs. searchxml

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBaseX  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHarperDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.DBMS for structured and unstructured content wrapped with an application server
Primary database modelObject oriented DBMSNative XML DBMSDocument storeDocument storeNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score1.56
Rank#141  Overall
#4  Native XML DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score0.55
Rank#243  Overall
#38  Document stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websiteatoti.iobasex.orgcloud.google.com/­datastorewww.harperdb.iowww.searchxml.net/­category/­products
Technical documentationdocs.atoti.iodocs.basex.orgcloud.google.com/­datastore/­docsdocs.harperdb.io/­docswww.searchxml.net/­support/­handouts
DeveloperActiveViamBaseX GmbHGoogleHarperDBinformationpartners gmbh
Initial release2007200820172015
Current release11.2, August 20243.1, August 20211.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoBSD licensecommercialcommercial infofree community edition availablecommercial
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 languageJavaJavaNode.jsC++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes, details hereyes infoJSON data typesyes
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)noSQL-like query language (GQL)SQL-like data manipulation statementsno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonyesusing Google App EngineCustom Functions infosince release 3.1yes infoon the application server
Triggersyes infovia eventsCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using Paxosyes infothe nodes on which a table resides can be definedyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
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 integritynoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsAtomic execution of specific operationsmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess 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
atotiBaseXGoogle Cloud DatastoreHarperDBsearchxml
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