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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAerospike infoFrüher Citrusleaf genannt  Xaus Vergleich ausschliessenGeode  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenGraphite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungFlash-optimized In-memory NoSQL DatabaseGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGoogle'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 platform
Primäres DatenbankmodellDocument Store
Graph DBMS infoleveraging Apache Tinkerpop
Key-Value Store
Spatial DBMS
Key-Value StoreKey-Value Store
Wide Column Store
Time Series DBMSRelational DBMS infocolumn oriented
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
Punkte1,92
Rang#131  Overall
#23  Key-Value Stores
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
Websiteaerospike.comgeode.apache.orgcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.aerospike.comgeode.apache.org/­docscloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterFacebookYouTube
EntwicklerAerospikeOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleChris DavisMicrosoft
Erscheinungsjahr20122002201520062019
Aktuelle Version7.0, November 20231.1, February 2017cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availableOpen Source infoApache Version 2; commercial licenses available as GemfirekommerziellOpen Source infoApache 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCJavaPython
Server BetriebssystemeLinuxAlle Betriebssysteme mit einer Java VM infothe JDK (8 or later) is also requiredgehostetLinux
Unix
gehostet
DatenschemaschemafreischemafreischemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaneinNumeric data onlyja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinja
Sekundärindizesjaneinneinneinall fields are automatically indexed
SQL infoSupport of SQLneinSQL-like query language (OQL)neinneinKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteJDBC
Proprietäres Protokoll
TinkerPop Gremlin
Java Client API
Memcached Protokoll
RESTful HTTP API
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
Unterstützte Programmiersprachen.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infowith Luabenutzerdefinierte FunktionenneinneinYes, possible languages: KQL, Python, R
Triggersneinja infoCache Event Listenersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingShardingkeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer ReplikationsfaktorMulti-Source ReplikationInternal 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.
MapReduce infoBietet ein API für Map/Reduce Operationenja infoAerospike Aggregation Framework is similar to Map/ReduceneinjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationEventual ConsistencyImmediate 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 operationsyes, on a single nodeAtomic single-row operationsneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja infolockingja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen infonur mit Enterprise EditionAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)neinAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Aerospike infoFrüher Citrusleaf genanntGeodeGoogle Cloud BigtableGraphiteMicrosoft Azure Data Explorer
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

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

Aerospike Database 7 Delivers Enterprise Resiliency, Scale, and Speed to In-memory Database Workloads
15. November 2023

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Weitere Ressourcen
Aerospike infoFrüher Citrusleaf genanntGeodeGoogle Cloud BigtableGraphiteMicrosoft Azure Data Explorer
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
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