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DBMS > Aerospike vs. GeoSpock vs. ScyllaDB vs. Teradata Aster vs. Titan

Vergleich der Systemeigenschaften Aerospike vs. GeoSpock vs. ScyllaDB vs. Teradata Aster vs. Titan

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAerospike infoFrüher Citrusleaf genannt  Xaus Vergleich ausschliessenGeoSpock  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessenTeradata Aster  Xaus Vergleich ausschliessenTitan  Xaus Vergleich ausschliessen
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
KurzbeschreibungFlash-optimized In-memory NoSQL DatabaseSpatial and temporal data processing engine for extreme data scaleCassandra and DynamoDB compatible wide column storePlatform for big data analytics on multistructured data sources and typesTitan ist ein Graph DBMS optimiert für verteilte Clusters.
Primäres DatenbankmodellDocument Store
Graph DBMS infoleveraging Apache Tinkerpop
Key-Value Store
Spatial DBMS
Relational DBMSWide Column StoreRelational DBMSGraph DBMS
Sekundäre DatenbankmodelleTime Series DBMSKey-Value Store
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
Punkte4,75
Rang#68  Overall
#5  Wide Column Stores
Websiteaerospike.comgeospock.comwww.scylladb.comgithub.com/­thinkaurelius/­titan
Technische Dokumentationdocs.aerospike.comdocs.scylladb.comgithub.com/­thinkaurelius/­titan/­wiki
Social network pagesLinkedInTwitterFacebookYouTube
EntwicklerAerospikeGeoSpockScyllaDBTeradataAurelius, owned by DataStax
Erscheinungsjahr2012201520052012
Aktuelle Version7.0, November 20232.0, September 2019ScyllaDB Open Source 5.4.1, Jaenner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablekommerziellOpen Source infoOpen Source (AGPL), commercial license availablekommerziellOpen Source infoApache Lizenz, Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheCJava, JavascriptC++Java
Server BetriebssystemeLinuxgehostetLinuxLinuxLinux
OS X
Unix
Windows
DatenschemaschemafreijaschemafreiFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinja infoin Aster File Store
Sekundärindizesjatemporal, categoricalja infocluster global secondary indicesjaja
SQL infoSupport of SQLneinANSI SQL for query only (using Presto)SQL-like DML and DDL statements (CQL)janein
APIs und andere ZugriffskonzepteJDBC
Proprietäres Protokoll
TinkerPop Gremlin
JDBCProprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Unterstützte Programmiersprachen.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C
C#
C++
Java
Python
R
Clojure
Java
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infowith Luaneinyes, LuaR packagesja
Triggersneinneinneinneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingAutomatic shardingShardingShardingja infoüber integrierbare Storage Backends
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktorfrei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possibleja infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.ja
MapReduce infoBietet ein API für Map/Reduce Operationenja infoAerospike Aggregation Framework is similar to Map/Reduceneinneinja infoSQL Map-Reduce Frameworkja infomittels Faunus, eine Graph Analytics Engine
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja infoBeziehungen in Graph
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of operationsneinnein infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infoin-memory tablesnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen infonur mit Enterprise EditionAccess rights for users can be defined per tableAccess rights for users can be defined per objectBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardBenutzer Authentification und Sicherheit via Rexster Graph Server
Weitere Informationen bereitgestellt vom Systemhersteller
Aerospike infoFrüher Citrusleaf genanntGeoSpockScyllaDBTeradata AsterTitan
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» mehr
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» mehr
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» mehr
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» mehr
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» mehr
ScyllaDB is ideal for applications that require high throughput and low latency at...
» mehr
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» mehr
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» mehr
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» mehr
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» mehr
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» mehr
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
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Neuigkeiten

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Weitere Ressourcen
Aerospike infoFrüher Citrusleaf genanntGeoSpockScyllaDBTeradata AsterTitan
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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Graph DBMS increased their popularity by 500% within the last 2 years
3. März 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21. Januar 2014, Matthias Gelbmann

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