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DBMS > Google Cloud Spanner vs. GraphDB vs. Ignite vs. MySQL vs. Redis

Vergleich der Systemeigenschaften Google Cloud Spanner vs. GraphDB vs. Ignite vs. MySQL vs. Redis

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Spanner  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMySQL  Xaus Vergleich ausschliessenRedis  Xaus Vergleich ausschliessen
KurzbeschreibungA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Weit verbreitetes, allgemein einsetzbares Open Source RDBMSPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis legt höchsten Wert auf Performanz. Bei Designentscheidungen wird typischerweise Performanz der Vorzug vor Features oder Speicherbedarf gegeben.
Primäres DatenbankmodellRelational DBMSGraph DBMS
RDF Store
Key-Value Store
Relational DBMS
Relational DBMS infoKey/Value Zugriff über memcached APIKey-Value Store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Document Store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Suchmaschine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,89
Rang#103  Overall
#52  Relational DBMS
Punkte3,32
Rang#91  Overall
#6  Graph DBMS
#4  RDF Stores
Punkte3,16
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte1083,74
Rang#2  Overall
#2  Relational DBMS
Punkte157,80
Rang#6  Overall
#1  Key-Value Stores
Websitecloud.google.com/­spannerwww.ontotext.comignite.apache.orgwww.mysql.comredis.com
redis.io
Technische Dokumentationcloud.google.com/­spanner/­docsgraphdb.ontotext.com/­documentationapacheignite.readme.io/­docsdev.mysql.com/­docdocs.redis.com/­latest/­index.html
redis.io/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerGoogleOntotextApache Software FoundationOracle infoseit 2010, ursprünglich MySQL AB, danach SunRedis project core team, inspired by Salvatore Sanfilippo infoEntwicklung von Redis Inc finanziert
Erscheinungsjahr20172000201519952009
Aktuelle Version10.4, Oktober 2023Apache Ignite 2.68.4.0, April 20247.2.4, Jaenner 2024
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0Open Source infoGPL Version 2. Kommerzielle Lizenzen mit erweiterter Funktionalität sind verfügbar.Open Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
ImplementierungsspracheJavaC++, Java, .NetC und C++C
Server BetriebssystemegehostetAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows infoportiert und gewartet durch Microsoft Open Technologies, Inc.
Datenschemajaschema-free and OWL/RDFS-schema support; RDF shapesjajaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajateilweise infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjajanein
Sekundärindizesjayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesjajaja infowith RediSearch module
SQL infoSupport of SQLja infoQuery statements complying to ANSI 2011stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCANSI-99 for query and DML statements, subset of DDLja infomit proprietären Erweiterungenwith RediSQL module
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Proprietäres native API
Proprietäres Protokoll infoRESP - REdis Serialization Protocol
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-seitige Scripts infoStored Proceduresneinwell-defined plugin interfaces; JavaScript server-side extensibilityyes (compute grid and cache interceptors can be used instead)ja infoproprietäre SyntaxLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersneinneinyes (cache interceptors and events)japublish/subscribe channels provide some trigger functionality; RedisGears
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineShardinghorizontale Partitionierung, Sharding mit MySQL Cluster oder MySQL FabricSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication with 3 replicas for regional instances.Multi-Source Replikationyes (replicated cache)Multi-Source Replikation
Source-Replica Replikation
Multi-Source Replikation infowith Redis Enterprise Pack
Source-Replica Replikation infoChained replication wird unterstützt
MapReduce infoBietet ein API für Map/Reduce Operationenja infousing Google Cloud Dataflowneinyes (compute grid and hadoop accelerator)neinthrough RedisGears
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Fremdschlüssel inforeferenzielle Integritätja infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityja infoConstraint checkingneinja infonicht für MyISAM Storage Enginenein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoStrict serializable isolationACIDACIDACID infonicht für MyISAM Storage EngineAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja infoTable Locks oder Row Locks abhängig von Storage Engineja infoDatenzugriffe werden vom Server serialisiert
Durability infoDauerhafte Speicherung der Datenjajajajaja infokonfigurierbare Persistenzmechanismen via snapshots oder logs
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajaja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Security Hooks for custom implementationsBenutzer mit feingranularem Berechtigungskonzept infokeine Benutzergruppen oder RollenAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud SpannerGraphDB infoUrsprünglicher Name: OWLIMIgniteMySQLRedis
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
Neuigkeiten

Understanding the Graph Center of Excellence
17. Mai 2024

Migrating From LPG to RDF Graph Model
8. Mai 2024

Case study: Policy Enforcement Automation With Semantics
2. Mai 2024

Okay, RAG… We Have a Problem
26. April 2024

Scaling Understanding with the Help of Feedback Loops, Knowledge Graphs and NLP
19. April 2024

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

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Weitere Ressourcen
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