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DBMS > Apache Druid vs. GigaSpaces vs. LevelDB vs. Teradata Aster vs. Vertica

Vergleich der Systemeigenschaften Apache Druid vs. GigaSpaces vs. LevelDB vs. Teradata Aster vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenGigaSpaces  Xaus Vergleich ausschliessenLevelDB  Xaus Vergleich ausschliessenTeradata Aster  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  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 dataHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesPlatform 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.
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Document Store
Object oriented DBMS infoValues are user defined objects
Key-Value StoreRelational DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
Spatial 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
Punkte0,97
Rang#192  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte2,35
Rang#111  Overall
#19  Key-Value Stores
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitedruid.apache.orgwww.gigaspaces.comgithub.com/­google/­leveldbwww.vertica.com
Technische Dokumentationdruid.apache.org/­docs/­latest/­designdocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdvertica.com/­documentation
EntwicklerApache Software Foundation and contributorsGigaspaces TechnologiesGoogleTeradataOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20122000201120052005
Aktuelle Version29.0.1, April 202415.5, September 20201.23, Februar 202112.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; Commercial licenses availableOpen Source infoBSDkommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava, C++, .NetC++C++
Server BetriebssystemeLinux
OS X
Unix
Linux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
LinuxLinux
Datenschemaja infoschema-less columns are supportedschemafreischemafreiFlexible 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.
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaneinjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infoXML can be used for describing objects metadataneinja infoin Aster File Storenein
SekundärindizesjajaneinjaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL for queryingSQL-99 for query and DML statementsneinjaFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C++
Java
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresneinjaneinR packagesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinjaneinneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedShardingkeineShardinghorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage EnginesMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
keineja 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.
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infoMap-Reduce pattern can be built with XAP task executorsneinja infoSQL Map-Reduce Frameworkno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infowith automatic compression on writesjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlneinBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruidGigaSpacesLevelDBTeradata AsterVertica infoOpenText™ Vertica™
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...
» mehr
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 DruidGigaSpacesLevelDBTeradata AsterVertica infoOpenText™ Vertica™
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