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DBMS > eXtremeDB vs. Microsoft Azure Data Explorer vs. MonetDB vs. Newts vs. Quasardb

System Properties Comparison eXtremeDB vs. Microsoft Azure Data Explorer vs. MonetDB vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMonetDB  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringFully managed big data interactive analytics platformA relational database management system that stores data in columnsTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS infocolumn orientedRelational DBMSTime Series DBMSTime Series 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
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.mcobject.comazure.microsoft.com/­services/­data-explorerwww.monetdb.orgopennms.github.io/­newtsquasar.ai
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.microsoft.com/­en-us/­azure/­data-explorerwww.monetdb.org/­Documentationgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperMcObjectMicrosoftMonetDB BVOpenNMS Groupquasardb
Initial release20012019200420142009
Current release8.2, 2021cloud service with continuous releasesDec2023 (11.49), December 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC and C++CJavaC++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesFixed schema with schema-less datatypes (dynamic)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyesyes infointeger and binary
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.no infosupport of XML interfaces availableyesnono
Secondary indexesyesall fields are automatically indexedyesnoyes infowith tags
SQL infoSupport of SQLyes infowith the option: eXtremeSQLKusto Query Language (KQL), SQL subsetyes infoSQL 2003 with some extensionsnoSQL-like query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Java API
HTTP API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesYes, possible languages: KQL, Python, Ryes, in SQL, C, Rnono
Triggersyes infoby defining eventsyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoSource-replica replication available in experimental statusselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient mode
User concepts infoAccess controlAzure Active Directory Authenticationfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
eXtremeDBMicrosoft Azure Data ExplorerMonetDBNewtsQuasardb
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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eXtremeDBMicrosoft Azure Data ExplorerMonetDBNewtsQuasardb
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