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DBMS > Apache Druid vs. SpatiaLite vs. Teradata Aster vs. Vertica vs. YDB

Vergleich der Systemeigenschaften Apache Druid vs. SpatiaLite vs. Teradata Aster vs. Vertica vs. YDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenSpatiaLite  Xaus Vergleich ausschliessenTeradata Aster  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessenYDB  Xaus Vergleich ausschliessen
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial extension of SQLitePlatform for big data analytics on multistructured data sources and typesCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Spatial DBMSRelational DBMSRelational DBMS infoColumn orientedDocument Store
Relational DBMS
Sekundäre DatenbankmodelleRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,34
Rang#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Punkte1,60
Rang#149  Overall
#3  Spatial DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Punkte0,35
Rang#278  Overall
#43  Document Stores
#127  Relational DBMS
Websitedruid.apache.orgwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.vertica.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technische Dokumentationdruid.apache.org/­docs/­latest/­designwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlvertica.com/­documentationydb.tech/­en/­docs
EntwicklerApache Software Foundation and contributorsAlessandro FurieriTeradataOpenText infopreviously Micro Focus and Hewlett PackardYandex
Erscheinungsjahr20122008200520052019
Aktuelle Version29.0.1, April 20245.0.0, August 202012.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1kommerziellkommerziell infoLimitierte Community Edition gratisOpen Source infoApache 2.0; commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++C++
Server BetriebssystemeLinux
OS X
Unix
serverlosLinuxLinuxLinux
Datenschemaja infoschema-less columns are supportedjaFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File StoreYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.Flexible Schema (defined schema, partial schema, schema free)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajayesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinja infoin Aster File Storeneinnein
SekundärindizesjajajaNo Indexes Required. Different internal optimization strategy, but same functionality included.ja
SQL infoSupport of SQLSQL for queryingjajaFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.SQL-like query language (YQL)
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
RESTful HTTP API (DynamoDB compatible)
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Go
Java
JavaScript (Node.js)
PHP
Python
Server-seitige Scripts infoStored ProceduresneinneinR packagesyes, PostgreSQL PL/pgSQL, with minor differencesnein
Triggersneinjaneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedkeineShardinghorizontal partitioning, hierarchical partitioningSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage Engineskeineja infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Multi-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.Active-passive shard replication
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinja infoSQL Map-Reduce Frameworkno infoBi-directional Spark integrationnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACIDACIDACID
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 haltenneinjaneinneinnein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemneinBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashAccess rights defined for Yandex Cloud users
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruidSpatiaLiteTeradata AsterVertica infoOpenText™ Vertica™YDB
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» mehr

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Weitere Ressourcen
Apache DruidSpatiaLiteTeradata AsterVertica infoOpenText™ Vertica™YDB
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