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DBMS > Datomic vs. Faircom DB vs. Microsoft Azure Data Explorer vs. SingleStore

Vergleich der Systemeigenschaften Datomic vs. Faircom DB vs. Microsoft Azure Data Explorer vs. SingleStore

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NameDatomic  Xaus Vergleich ausschliessenFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessen
KurzbeschreibungDBMS mit Fokus auf der Abspeicherung von historischen Daten und 'point-in-time queries'. Es verwendet Fremdsysteme zur Speicherung der DatenNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Fully managed big data interactive analytics platformMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primäres DatenbankmodellRelational DBMSKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMS
Sekundäre DatenbankmodelleDocument 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
Suchmaschine 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
Time Series DBMS
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,55
Rang#144  Overall
#67  Relational DBMS
Punkte0,18
Rang#314  Overall
#45  Key-Value Stores
#141  Relational DBMS
Punkte3,28
Rang#83  Overall
#45  Relational DBMS
Punkte4,02
Rang#74  Overall
#39  Relational DBMS
Websitewww.datomic.comwww.faircom.com/­products/­faircom-dbazure.microsoft.com/­services/­data-explorerwww.singlestore.com
Technische Dokumentationdocs.datomic.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocs.singlestore.com
EntwicklerCognitectFairCom CorporationMicrosoftSingleStore Inc.
Erscheinungsjahr2012197920192013
Aktuelle Version1.0.7180, Juli 2024V13, July 2024cloud service with continuous releases8.5, Jänner 2024
Lizenz infoCommercial or Open Sourcekommerziell infoLimitierte Edition gratiskommerziell infoRestricted, free version availablekommerziellkommerziell infofree developer edition available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava, ClojureANSI C, C++C++, Go
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
gehostetLinux info64 bit version required
Datenschemajaschema free, schema optional, schema required, partial schema,Fixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL Types, JSON, typed binary structuresja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjajaall fields are automatically indexedja
SQL infoSupport of SQLneinyes, ANSI SQL with proprietary extensionsKusto Query Language (KQL), SQL subsetyes infobut no triggers and foreign keys
APIs und andere ZugriffskonzepteRESTful HTTP APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Unterstützte ProgrammiersprachenClojure
Java
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresja infoTransaction Functionsja info.Net, JavaScript, C/C++Yes, possible languages: KQL, Python, Rja
TriggersBy using transaction functionsjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeine infoBut extensive use of caching in the application peersFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoImplicit feature of the cloud serviceSharding infohash partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeine infoBut extensive use of caching in the application peersyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation infostores two copies of each physical data partition on two separate nodes
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infocan define user-defined aggregate functions for map-reduce-style calculations
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDtunable from ACID to Eventually ConsistentneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenja infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Yes, tunable from durable to delayed durability to in-memoryjaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja inforecommended only for testing and developmentjaneinja
Berechtigungskonzept infoZugriffskontrolleneinFine grained access rights according to SQL-standard with additional protections for filesAzure Active Directory AuthenticationFine grained access control via users, groups and roles

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Weitere Ressourcen
DatomicFaircom DB infoformerly c-treeACEMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQL
DB-Engines Blog Posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17. Oktober 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9. Juni 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14. Februar 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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