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DBMS > GigaSpaces vs. Microsoft Azure Data Explorer vs. Tarantool vs. TigerGraph

Vergleich der Systemeigenschaften GigaSpaces vs. Microsoft Azure Data Explorer vs. Tarantool vs. TigerGraph

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameGigaSpaces  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessenTigerGraph  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 platformIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primäres DatenbankmodellDocument Store
Object oriented DBMS infoValues are user defined objects
Relational DBMS infocolumn orientedDocument Store
Key-Value Store
Relational DBMS
Graph DBMS
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
Spatial DBMS infowith Tarantool/GIS extension
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
Punkte1,67
Rang#143  Overall
#25  Document Stores
#25  Key-Value Stores
#65  Relational DBMS
Punkte1,80
Rang#138  Overall
#13  Graph DBMS
Websitewww.gigaspaces.comazure.microsoft.com/­services/­data-explorerwww.tarantool.iowww.tigergraph.com
Technische Dokumentationdocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­en-us/­azure/­data-explorerwww.tarantool.io/­en/­docdocs.tigergraph.com
EntwicklerGigaspaces TechnologiesMicrosoftVK
Erscheinungsjahr2000201920082017
Aktuelle Version15.5, September 2020cloud service with continuous releases2.10.0, Mai 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablekommerziellOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava, C++, .NetC und C++C++
Server BetriebssystemeLinux
macOS
Solaris
Windows
gehostetBSD
Linux
macOS
Linux
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)Flexible data schema: relational definition for tables with ability to store json-like documents in columnsja
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-typesstring, double, decimal, uuid, integer, blob, boolean, datetimeja
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 metadatajaneinnein
Sekundärindizesjaall fields are automatically indexedja
SQL infoSupport of SQLSQL-99 for query and DML statementsKusto Query Language (KQL), SQL subsetFull-featured ANSI SQL supportSQL-like query language (GSQL)
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
Open binary protocolGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Unterstützte Programmiersprachen.Net
C++
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C++
Java
Server-seitige Scripts infoStored ProceduresjaYes, possible languages: KQL, Python, RLua, C and SQL stored proceduresja
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
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.Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with 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-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Fremdschlüssel inforeferenzielle Integritätneinneinyesja infoRelationships in graphs
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajayes, write ahead loggingja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinyes, full featured in-memory storage engine with persistencenein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory AuthenticationAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Role-based access control

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Weitere Ressourcen
GigaSpacesMicrosoft Azure Data ExplorerTarantoolTigerGraph
DB-Engines Blog Posts

Data processing speed and reliability: in-memory synchronous replication
9. November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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