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DBMS > GridGain vs. Heroic vs. InfluxDB vs. Raima Database Manager vs. TypeDB

Vergleich der Systemeigenschaften GridGain vs. Heroic vs. InfluxDB vs. Raima Database Manager vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGridGain  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenRaima Database Manager infoformerly named db_Vista  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungGridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDBMS for storing time series, events and metricsRDBMS with a small footprint, either embedded into an application or used as a database serverTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primäres DatenbankmodellColumnar
Key-Value Store
Object oriented DBMS
Relational DBMS
Time Series DBMSTime Series DBMSRelational DBMS
Time Series DBMS
Graph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO package
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,48
Rang#150  Overall
#1  Columnar
#26  Key-Value Stores
#2  Object oriented DBMS
#69  Relational DBMS
Punkte0,13
Rang#335  Overall
#29  Time Series DBMS
Punkte22,12
Rang#28  Overall
#1  Time Series DBMS
Punkte0,40
Rang#268  Overall
#125  Relational DBMS
#21  Time Series DBMS
Punkte0,65
Rang#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitewww.gridgain.comgithub.com/­spotify/­heroicwww.influxdata.com/­products/­influxdb-overviewraima.comtypedb.com
Technische Dokumentationwww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroicdocs.influxdata.com/­influxdbdocs.raima.comtypedb.com/­docs
EntwicklerGridGain Systems, Inc.SpotifyRaima Inc.Vaticle
Erscheinungsjahr20072014201319842016
Aktuelle VersionGridGain 8.5.12.7.6, April 202415, Juni 20212.28.3, Juni 2024
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablekommerziellOpen Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava, C++, .Net, Python, REST, SQLJavaGoCJava
Server BetriebssystemeLinux
OS X
Solaris
Windows
z/OS
Linux
OS X infothrough Homebrew
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
OS X
Windows
Datenschemajaschemafreischemafreijaja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaNumeric data and Stringsjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinnein infoExporting/Importing of XML structures possiblenein
Sekundärindizesjaja infovia Elasticsearchneinjaja
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLneinSQL-like query languagejanein
APIs und andere ZugriffskonzepteHDFS API
Hibernate
JCache
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Unterstützte ProgrammiersprachenC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Objective-C
PL/SQL
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-seitige Scripts infoStored Proceduresyes (compute grid and cache interceptors can be used instead)neinneinja infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationnein
Triggersyes (cache interceptors and events)neinneinjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoin enterprise version onlyhorizontale Partitionierungno
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes (replicated cache)jafrei wählbarer Replikationsfaktor infoin enterprise version onlySource-Replica ReplikationSynchronous replication via raft
MapReduce infoBietet ein API für Map/Reduce Operationenyes (compute grid and hadoop accelerator)neinneinneinno
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinjanein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infoDepending on used storage enginejanein
Berechtigungskonzept infoZugriffskontrolleRole-based access control
Security Hooks for custom implementations
Einfache Rechteverwaltung mit Benutzeraccountsneinyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
GridGainHeroicInfluxDBRaima Database Manager infoformerly named db_VistaTypeDB infoformerly named Grakn
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» mehr
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» mehr
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» mehr
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Over 30 000 applications developers worldwide have field-tested RDM products More...
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» mehr
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» mehr
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8. Oktober 2020

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Weitere Ressourcen
GridGainHeroicInfluxDBRaima Database Manager infoformerly named db_VistaTypeDB infoformerly named Grakn
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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