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DBMS > Aerospike vs. Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Data Explorer vs. Netezza

Vergleich der Systemeigenschaften Aerospike vs. Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Data Explorer vs. Netezza

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAerospike infoFrüher Citrusleaf genannt  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenGraphite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNetezza infoWird von IBM auch PureData System für Analytics genannt  Xaus Vergleich ausschliessen
KurzbeschreibungFlash-optimized In-memory NoSQL DatabaseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperFully managed big data interactive analytics platformData Warehouse und Analytic Appliance integriert in IBM PureSystems
Primäres DatenbankmodellDocument Store
Graph DBMS infoleveraging Apache Tinkerpop
Key-Value Store
Spatial DBMS
Key-Value Store
Wide Column Store
Time Series DBMSRelational 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,78
Rang#61  Overall
#11  Document Stores
#3  Graph DBMS
#7  Key-Value Stores
#2  Spatial DBMS
Punkte3,26
Rang#92  Overall
#13  Key-Value Stores
#8  Wide Column Stores
Punkte4,57
Rang#73  Overall
#5  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte9,06
Rang#46  Overall
#29  Relational DBMS
Websiteaerospike.comcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­data-explorerwww.ibm.com/­products/­netezza
Technische Dokumentationdocs.aerospike.comcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterFacebookYouTube
EntwicklerAerospikeGoogleChris DavisMicrosoftIBM
Erscheinungsjahr20122015200620192000
Aktuelle Version7.0, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablekommerziellOpen Source infoApache 2.0kommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCPython
Server BetriebssystemeLinuxgehostetLinux
Unix
gehostetLinux infoIn Appliance inkludiert
DatenschemaschemafreischemafreijaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinNumeric data onlyja 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, XSLTneinneinneinja
Sekundärindizesjaneinneinall fields are automatically indexedja
SQL infoSupport of SQLneinneinneinKusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteJDBC
Proprietäres Protokoll
TinkerPop Gremlin
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
OLE DB
Unterstützte Programmiersprachen.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infowith LuaneinneinYes, possible languages: KQL, Python, Rja
Triggersneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingkeineSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer ReplikationsfaktorInternal replication in Colossus, and regional replication between two clusters in different zoneskeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenja infoAerospike Aggregation Framework is similar to Map/ReducejaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)keineEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of operationsAtomic single-row operationsneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infolockingjaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen infonur mit Enterprise EditionAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)neinAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept
Weitere Informationen bereitgestellt vom Systemhersteller
Aerospike infoFrüher Citrusleaf genanntGoogle Cloud BigtableGraphiteMicrosoft Azure Data ExplorerNetezza infoWird von IBM auch PureData System für Analytics genannt
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» mehr
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» mehr
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» mehr
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» mehr
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» mehr
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» mehr
Neuigkeiten

New Aerospike Release Lets Enterprises Consolidate Expensive Legacy Cache And Database Platforms
15. Mai 2024

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7. Mai 2024

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4. April 2024

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30. November 2023

Aerospike Showcases New Levels of Database Performance, Price, and Sustainability on Graviton3 at AWS re:Invent
28. November 2023

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Weitere Ressourcen
Aerospike infoFrüher Citrusleaf genanntGoogle Cloud BigtableGraphiteMicrosoft Azure Data ExplorerNetezza infoWird von IBM auch PureData System für Analytics genannt
DB-Engines Blog Posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17. März 2020,  Srini Srinivasan, Aerospike (sponsor) 

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Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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Erwähnungen in aktuellen Nachrichten

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