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DBMS > ArcadeDB vs. atoti vs. Google Cloud Datastore vs. OpenMLDB vs. searchxml

System Properties Comparison ArcadeDB vs. atoti vs. Google Cloud Datastore vs. OpenMLDB vs. searchxml

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonatoti  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOpenMLDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAn 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 PlatformAn open-source machine learning database that provides a feature platform for training and inferenceDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Object oriented DBMSDocument storeTime Series DBMSNative XML DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitearcadedb.comatoti.iocloud.google.com/­datastoreopenmldb.aiwww.searchxml.net/­category/­products
Technical documentationdocs.arcadedb.comdocs.atoti.iocloud.google.com/­datastore/­docsopenmldb.ai/­docs/­zh/­mainwww.searchxml.net/­support/­handouts
DeveloperArcade DataActiveViamGoogle4 Paradigm Inc.informationpartners gmbh
Initial release2021200820202015
Current releaseSeptember 20212024-2 February 20241.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercialOpen Sourcecommercial
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 languageJavaJavaC++, Java, ScalaC++
Server operating systemsAll OS with a Java VMhostedLinuxWindows
Data schemeschema-freeschema-freeFixed schemaschema-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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsMultidimensional Expressions (MDX)SQL-like query language (GQL)yesno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
SQLAlchemy
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
Python
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonusing Google App Enginenoyes infoon the application server
TriggersCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using PaxosSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 inforelationship in graphsyes 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 datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine 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
ArcadeDBatotiGoogle Cloud DatastoreOpenMLDBsearchxml
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