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DBMS > etcd vs. MarkLogic vs. Microsoft Azure Data Explorer vs. Newts vs. Oracle NoSQL

System Properties Comparison etcd vs. MarkLogic vs. Microsoft Azure Data Explorer vs. Newts vs. Oracle NoSQL

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonNewts  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionA distributed reliable key-value storeOperational and transactional Enterprise NoSQL databaseFully managed big data interactive analytics platformTime Series DBMS based on CassandraA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS infocolumn orientedTime Series DBMSDocument store
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
Score7.03
Rank#54  Overall
#5  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.marklogic.comazure.microsoft.com/­services/­data-exploreropennms.github.io/­newtswww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.marklogic.comdocs.microsoft.com/­en-us/­azure/­data-explorergithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperMarkLogic Corp.MicrosoftOpenNMS GroupOracle
Initial release2001201920142011
Current release3.4, August 201911.0, December 2022cloud service with continuous releases24.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availablecommercialOpen Source infoApache 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
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 languageGoC++JavaJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
hostedLinux
OS X
Windows
Linux
Solaris SPARC/x86
Data schemeschema-freeschema-free infoSchema can be enforcedFixed schema with schema-less datatypes (dynamic)schema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or datenoyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesoptional
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.noyesyesnono
Secondary indexesnoyesall fields are automatically indexednoyes
SQL infoSupport of SQLnoyes infoSQL92Kusto Query Language (KQL), SQL subsetnoSQL-like DML and DDL statements
APIs and other access methodsgRPC
JSON over HTTP
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
Java API
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaC
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptYes, possible languages: KQL, Python, Rnono
Triggersyes, watching key changesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on CassandraElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionnonoconfigurable infoACID within a storage node (=shard)
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, with Range Indexesnonoyes infooff heap cache
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsAzure Active Directory AuthenticationnoAccess rights for users and roles

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More resources
etcdMarkLogicMicrosoft Azure Data ExplorerNewtsOracle NoSQL
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