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DBMS > GigaSpaces vs. Microsoft Azure Data Explorer vs. RocksDB vs. TigerGraph vs. TypeDB

Vergleich der Systemeigenschaften GigaSpaces vs. Microsoft Azure Data Explorer vs. RocksDB vs. TigerGraph vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGigaSpaces  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRocksDB  Xaus Vergleich ausschliessenTigerGraph  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFully managed big data interactive analytics platformEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTypeDB 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 DatenbankmodellDocument Store
Object oriented DBMS infoValues are user defined objects
Relational DBMS infocolumn orientedKey-Value StoreGraph DBMSGraph 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 DatenbankmodelleGraph DBMS
Suchmaschine
Document Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,03
Rang#188  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte3,41
Rang#86  Overall
#11  Key-Value Stores
Punkte1,80
Rang#138  Overall
#13  Graph DBMS
Punkte0,70
Rang#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Websitewww.gigaspaces.comazure.microsoft.com/­services/­data-explorerrocksdb.orgwww.tigergraph.comtypedb.com
Technische Dokumentationdocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­en-us/­azure/­data-explorergithub.com/­facebook/­rocksdb/­wikidocs.tigergraph.comtypedb.com/­docs
EntwicklerGigaspaces TechnologiesMicrosoftFacebook, Inc.Vaticle
Erscheinungsjahr20002019201320172016
Aktuelle Version15.5, September 2020cloud service with continuous releases9.2.1, Mai 20242.28.3, Juni 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablekommerziellOpen Source infoBSDkommerziellOpen Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava, C++, .NetC++C++Java
Server BetriebssystemeLinux
macOS
Solaris
Windows
gehostetLinuxLinuxLinux
OS X
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafreijaja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesneinjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein infoXML can be used for describing objects metadatajaneinneinnein
Sekundärindizesjaall fields are automatically indexedneinja
SQL infoSupport of SQLSQL-99 for query and DML statementsKusto Query Language (KQL), SQL subsetneinSQL-like query language (GSQL)nein
APIs und andere ZugriffskonzepteGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
C++ API
Java API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Unterstützte Programmiersprachen.Net
C++
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-seitige Scripts infoStored ProceduresjaYes, possible languages: KQL, Python, Rneinjanein
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningno
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jaSynchronous replication via raft
MapReduce infoBietet ein API für Map/Reduce Operationenja infoMap-Reduce pattern can be built with XAP task executorsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinjano
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinja infoRelationships in graphsnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinjaACIDACID
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 haltenjaneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory AuthenticationneinRole-based access controlyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
GigaSpacesMicrosoft Azure Data ExplorerRocksDBTigerGraphTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
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Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
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Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
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Zugehörige Produkte und Dienstleistungen
DrittanbieterSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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Weitere Ressourcen
GigaSpacesMicrosoft Azure Data ExplorerRocksDBTigerGraphTypeDB infoformerly named Grakn
Erwähnungen in aktuellen Nachrichten

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8. Januar 2024, Microsoft

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5. Februar 2024, Microsoft

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4. Dezember 2023, Microsoft

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6. Oktober 2020, Towards Data Science

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