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DBMS > atoti vs. FoundationDB vs. Microsoft Azure Data Explorer vs. OrientDB vs. searchxml

System Properties Comparison atoti vs. FoundationDB vs. Microsoft Azure Data Explorer vs. OrientDB vs. searchxml

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOrientDB  Xexclude from comparisonsearchxml  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Ordered key-value store. Core features are complimented by layers.Fully managed big data interactive analytics platformMulti-model DBMS (Document, Graph, Key/Value)DBMS for structured and unstructured content wrapped with an application server
Primary database modelObject oriented DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS infocolumn orientedDocument store
Graph DBMS
Key-value store
Native XML DBMS
Search engine
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteatoti.iogithub.com/­apple/­foundationdbazure.microsoft.com/­services/­data-explorerorientdb.orgwww.searchxml.net/­category/­products
Technical documentationdocs.atoti.ioapple.github.io/­foundationdbdocs.microsoft.com/­en-us/­azure/­data-explorerwww.orientdb.com/­docs/­last/­index.htmlwww.searchxml.net/­support/­handouts
DeveloperActiveViamFoundationDBMicrosoftOrientDB LTD; CallidusCloud; SAPinformationpartners gmbh
Initial release2013201920102015
Current release6.2.28, November 2020cloud service with continuous releases3.2.29, March 20241.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercialOpen Source infoApache 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++JavaC++
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java JDK (>= JDK 6)Windows
Data schemeschema-free infosome layers support schemasFixed schema with schema-less datatypes (dynamic)schema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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.yesnoyes
Secondary indexesnoall fields are automatically indexedyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)supported in specific SQL layer onlyKusto Query Language (KQL), SQL subsetSQL-like query language, no joinsno
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonin SQL-layer onlyYes, possible languages: KQL, Python, RJava, Javascriptyes infoon the application server
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyHooksno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDmultiple 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.yesnono
User concepts infoAccess controlnoAzure Active Directory AuthenticationAccess rights for users and roles; record level security configurableDomain, group and role-based access control at the document level and for application services

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More resources
atotiFoundationDBMicrosoft Azure Data ExplorerOrientDBsearchxml
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