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DBMS > EventStoreDB vs. Microsoft Azure Data Explorer vs. Oracle vs. Riak KV vs. SAP SQL Anywhere

System Properties Comparison EventStoreDB vs. Microsoft Azure Data Explorer vs. Oracle vs. Riak KV vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOracle  Xexclude from comparisonRiak KV  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Fully managed big data interactive analytics platformWidely used RDBMSDistributed, fault tolerant key-value storeRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelEvent StoreRelational DBMS infocolumn orientedRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational 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
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.eventstore.comazure.microsoft.com/­services/­data-explorerwww.oracle.com/­databasewww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdevelopers.eventstore.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­databasewww.tiot.jp/­riak-docs/­riak/­kv/­latesthelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperEvent Store LimitedMicrosoftOracleOpenSource, formerly Basho TechnologiesSAP infoformerly Sybase
Initial release20122019198020091992
Current release21.2, February 2021cloud service with continuous releases23c, September 20233.2.0, December 202217, July 2015
License infoCommercial or Open SourceOpen Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise editioncommercial
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++Erlang
Server operating systemsLinux
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)yes infoSchemaless in JSON and XML columnsschema-freeyes
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesnoyes
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.yesyesnoyes
Secondary indexesall fields are automatically indexedyesrestrictedyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetyes infowith proprietary extensionsnoyes
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
Native Erlang Interface
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, RPL/SQL infoalso stored procedures in Java possibleErlangyes, in C/C++, Java, .Net or Perl
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
selectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno infocan be realized in PL/SQLyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoisolation level can be parameterizednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlAzure Active Directory Authenticationfine grained access rights according to SQL-standardyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
EventStoreDBMicrosoft Azure Data ExplorerOracleRiak KVSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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