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DBMS > Amazon DynamoDB vs. Faircom DB vs. GigaSpaces vs. Lovefield vs. Vertica

Vergleich der Systemeigenschaften Amazon DynamoDB vs. Faircom DB vs. GigaSpaces vs. Lovefield vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DynamoDB  Xaus Vergleich ausschliessenFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenGigaSpaces  Xaus Vergleich ausschliessenLovefield  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungGehostetes, skalierbares Datenbankservice von Amazon; die Daten werden in der Amazon Cloud gespeichertNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable relational database for web apps written in pure JavaScriptCloud 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 DatenbankmodellDocument Store
Key-Value Store
Key-Value Store
Relational DBMS
Document Store
Object oriented DBMS infoValues are user defined objects
Relational 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
Punkte74,45
Rang#17  Overall
#3  Document Stores
#2  Key-Value Stores
Punkte0,29
Rang#304  Overall
#43  Key-Value Stores
#136  Relational DBMS
Punkte1,03
Rang#188  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte0,33
Rang#286  Overall
#131  Relational DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.faircom.com/­products/­faircom-dbwww.gigaspaces.comgoogle.github.io/­lovefieldwww.vertica.com
Technische Dokumentationdocs.aws.amazon.com/­dynamodbdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdvertica.com/­documentation
EntwicklerAmazonFairCom CorporationGigaspaces TechnologiesGoogleOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20121979200020142005
Aktuelle VersionV12, November 202015.5, September 20202.1.12, February 201712.0.3, Jänner 2023
Lizenz infoCommercial or Open Sourcekommerziell infokostenlos bis zu einer gewissen Anzahl von Datenbankoperationenkommerziell infoRestricted, free version availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0kommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein 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.
ImplementierungsspracheANSI C, C++Java, C++, .NetJavaScriptC++
Server BetriebssystemegehostetAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Datenschemaschemafreischema free, schema optional, schema required, partial schema,schemafreijaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL Types, JSON, typed binary structuresjajayes
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 metadataneinnein
SekundärindizesjajajajaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinyes, ANSI SQL with proprietary extensionsSQL-99 for query and DML statementsSQL-like query language infovia JavaScript builder patternFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteRESTful HTTP APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte Programmiersprachen.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C++
Java
Python
Scala
JavaScriptC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++janeinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersja infoby integration with AWS LambdajajaUsing read-only observersyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingkeinehorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjayes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
keineMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenneinja infoMap-Reduce pattern can be built with XAP task executorsneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency infokann bei LeseOperationen spezifiziert werden
Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoACID across one or more tables within a single AWS account and regiontunable from ACID to Eventually ConsistentACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenjaYes, tunable from durable to delayed durability to in-memoryjayes, by using IndexedDB or the cloud service Firebase Realtime Databaseja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaja infousing MemoryDBnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen über AWS Identity and Access Management (IAM) definierbarFine grained access rights according to SQL-standard with additional protections for filesRole-based access controlneinfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon DynamoDBFaircom DB infoformerly c-treeACEGigaSpacesLovefieldVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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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...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
Amazon DynamoDBFaircom DB infoformerly c-treeACEGigaSpacesLovefieldVertica infoOpenText™ Vertica™
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