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DBMS > Datastax Enterprise vs. EsgynDB vs. IRONdb vs. Microsoft Azure Data Explorer vs. RocksDB

Vergleich der Systemeigenschaften Datastax Enterprise vs. EsgynDB vs. IRONdb vs. Microsoft Azure Data Explorer vs. RocksDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenEsgynDB  Xaus Vergleich ausschliessenIRONdb  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRocksDB  Xaus Vergleich ausschliessen
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully managed big data interactive analytics platformEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primäres DatenbankmodellWide Column StoreRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedKey-Value Store
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Document 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,93
Rang#56  Overall
#4  Wide Column Stores
Punkte0,25
Rang#312  Overall
#138  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte3,41
Rang#86  Overall
#11  Key-Value Stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.esgyn.cnwww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­data-explorerrocksdb.org
Technische Dokumentationdocs.datastax.comdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­en-us/­azure/­data-explorergithub.com/­facebook/­rocksdb/­wiki
EntwicklerDataStaxEsgynCirconus LLC.MicrosoftFacebook, Inc.
Erscheinungsjahr20112015201720192013
Aktuelle Version6.8, April 2020V0.10.20, January 2018cloud service with continuous releases9.2.1, Mai 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellkommerziellOpen Source infoBSD
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
ImplementierungsspracheJavaC++, JavaC und C++C++
Server BetriebssystemeLinux
OS X
LinuxLinuxgehostetLinux
DatenschemaschemafreijaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infotext, numeric, histogramsja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjanein
Sekundärindizesjajaneinall fields are automatically indexednein
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLjaSQL-like query language (Circonus Analytics Query Language: CAQL)Kusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
C++ API
Java API
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Go
Java
Perl
Python
Ruby
Server-seitige Scripts infoStored ProceduresneinJava Stored Proceduresyes, in LuaYes, possible languages: KQL, Python, Rnein
Triggersjaneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"ShardingAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication between multi datacentersconfigurable replication factor, datacenter awareja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenjajaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsACIDneinneinja
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinneinja
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardneinAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseEsgynDBIRONdbMicrosoft Azure Data ExplorerRocksDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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Zugehörige Produkte und Dienstleistungen
DrittanbieterSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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Weitere Ressourcen
Datastax EnterpriseEsgynDBIRONdbMicrosoft Azure Data ExplorerRocksDB
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