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DBMS > FoundationDB vs. Microsoft Azure Data Explorer vs. Neo4j vs. OrientDB vs. Yaacomo

System Properties Comparison FoundationDB vs. Microsoft Azure Data Explorer vs. Neo4j vs. OrientDB vs. Yaacomo

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonNeo4j  Xexclude from comparisonOrientDB  Xexclude from comparisonYaacomo  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionOrdered key-value store. Core features are complimented by layers.Fully managed big data interactive analytics platformScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsMulti-model DBMS (Document, Graph, Key/Value)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS infocolumn orientedGraph DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
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
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Websitegithub.com/­apple/­foundationdbazure.microsoft.com/­services/­data-explorerneo4j.comorientdb.orgyaacomo.com
Technical documentationapple.github.io/­foundationdbdocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docswww.orientdb.com/­docs/­last/­index.html
DeveloperFoundationDBMicrosoftNeo4j, Inc.OrientDB LTD; CallidusCloud; SAPQ2WEB GmbH
Initial release20132019200720102009
Current release6.2.28, November 2020cloud service with continuous releases5.23, August 20243.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache version 2commercial
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++Java, ScalaJava
Server operating systemsLinux
OS X
Windows
hostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Android
Linux
Windows
Data schemeschema-free infosome layers support schemasFixed schema with schema-less datatypes (dynamic)schema-free and schema-optionalschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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-typesyesyesyes
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.yesnono
Secondary indexesnoall fields are automatically indexedyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyKusto Query Language (KQL), SQL subsetnoSQL-like query language, no joinsyes
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
ODBC
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
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresin SQL-layer onlyYes, possible languages: KQL, Python, Ryes infoUser defined Procedures and FunctionsJava, Javascript
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infovia event handlerHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyes using Neo4j FabricShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes infoRelationships in graphsyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAzure Active Directory AuthenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles; record level security configurablefine grained access rights according to SQL-standard
More information provided by the system vendor
FoundationDBMicrosoft Azure Data ExplorerNeo4jOrientDBYaacomo
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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