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DBMS > Elasticsearch vs. Heroic vs. Manticore Search vs. TigerGraph vs. Vertica

Vergleich der Systemeigenschaften Elasticsearch vs. Heroic vs. Manticore Search vs. TigerGraph vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameElasticsearch  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenManticore Search  Xaus Vergleich ausschliessenTigerGraph  Xaus Vergleich ausschliessenVertica infoVertica Analytics Platform  Xaus Vergleich ausschliessen
KurzbeschreibungEine moderne Such- und Analyseplattform basierend auf Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen Source Suchmaschine zum Suchen in Daten aus verschiedenen Quellen. Forked aus SphinxA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primäres DatenbankmodellSuchmaschineTime Series DBMSSuchmaschineGraph DBMSRelational DBMS
Sekundäre DatenbankmodelleDocument StoreDocument Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte151,55
Rang#8  Overall
#1  Suchmaschinen
Punkte0,51
Rang#230  Overall
#14  Time Series DBMS
Punkte0,09
Rang#307  Overall
#15  Suchmaschinen
Punkte1,14
Rang#157  Overall
#13  Graph DBMS
Punkte22,07
Rang#32  Overall
#19  Relational DBMS
Websitewww.elastic.co/­elasticsearchspotify.github.io/­heroic/­#!/­indexmanticoresearch.comwww.tigergraph.comwww.vertica.com
Technische Dokumentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlspotify.github.io/­heroic/­#!/­docs/­overviewdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
docs.tigergraph.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
EntwicklerElasticSpotifyManticore SoftwareVertica / Micro Focus infoprior to that Hewlett Packard
Erscheinungsjahr20102014201720172005
Aktuelle Version7.8.0, Juni 2020Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoApache 2.0Open Source infoGPL Version 2kommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
ImplementierungsspracheJavaJavaC++C++
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxLinux
Datenschemaschemafrei infoFlexible Typdefinitionen, die - sobald definiert - persistent bleiben.schemafreijajaja infoUnstrukturierte Daten können mit Flex-tables verwaltet werden
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaneinjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinja
Sekundärindizesja infoAlle Suchfelder werden automatisch indiziertja infovia Elasticsearchja infoFull-Text Index auf allen Suchfeldernnein infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languageneinSQL-like query languageSQL-like query language (GSQL)ja infonearly full SQL99 without support for indexes and triggers
APIs und andere ZugriffskonzepteJava API
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietäres ProtokollGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka
ODBC
Propriätäres Protokoll
RESTful HTTP API
Unterstützte Programmiersprachen.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++ infoinoffizielle Client Library
Java
Perl infoinoffizielle Client Library
PHP
Python
Ruby infoinoffizielle Client Library
C++
Java
C++
Java
Perl
Python
R
Server-seitige Scripts infoStored Proceduresjaneinneinjaja
Triggersja infoMittels Verwendung des 'Percolation' featuresneinneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoAufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.Sharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjajakeineMulti-Source Replikation infoCluster level and Object level replication
MapReduce infoBietet ein API für Map/Reduce OperationenES-Hadoop Connectorneinneinjaja infomittel Vertica Connector for Hadoop
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoSynchrone dokumentenbasierte Replikation. Write consistency konfigurierbar: one, quorum, allEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinja infoRelationships in graphsja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infoDer Originalinhalt von Feldern wird nicht im Manticore-Index gespeichert.jaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenMemcached and Redis integrationneinnein
Berechtigungskonzept infoZugriffskontrolleneinRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
ElasticsearchHeroicManticore SearchTigerGraphVertica infoVertica Analytics Platform
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
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TigerGraph is a native graph database, with massively parallel processing and fully...
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Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
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Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
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TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
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Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
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Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
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Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
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Four out of the top five global banks use TigerGraph for real-time fraud detection....
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
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ANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
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Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
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Try TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
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Cost-based models and subscription-based models are available
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DrittanbieterElastic Cloud: Try the official managed Elasticsearch.
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Weitere Ressourcen
ElasticsearchHeroicManticore SearchTigerGraphVertica infoVertica Analytics Platform
DB-Engines Blog Posts

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2. Januar 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
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MySQL, PostgreSQL and Redis are the winners of the March ranking
2. März 2016, Paul Andlinger

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