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DBMS > Google Cloud Datastore vs. Memgraph vs. Microsoft SQL Server vs. Raima Database Manager vs. TDengine

Vergleich der Systemeigenschaften Google Cloud Datastore vs. Memgraph vs. Microsoft SQL Server vs. Raima Database Manager vs. TDengine

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Datastore  Xaus Vergleich ausschliessenMemgraph  Xaus Vergleich ausschliessenMicrosoft SQL Server  Xaus Vergleich ausschliessenRaima Database Manager infoformerly named db_Vista  Xaus Vergleich ausschliessenTDengine  Xaus Vergleich ausschliessen
KurzbeschreibungSelbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformAn open source graph database built for real-time streaming and compatible with Neo4jRelationales DBMS von MicrosoftRDBMS with a small footprint, either embedded into an application or used as a database serverTime Series DBMS and big data platform
Primäres DatenbankmodellDocument StoreGraph DBMSRelational DBMSRelational DBMS
Time Series DBMS
Time Series DBMS
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,47
Rang#76  Overall
#12  Document Stores
Punkte3,02
Rang#98  Overall
#8  Graph DBMS
Punkte824,29
Rang#3  Overall
#3  Relational DBMS
Punkte0,46
Rang#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Punkte2,60
Rang#107  Overall
#8  Time Series DBMS
Websitecloud.google.com/­datastorememgraph.comwww.microsoft.com/­en-us/­sql-serverraima.comgithub.com/­taosdata/­TDengine
tdengine.com
Technische Dokumentationcloud.google.com/­datastore/­docsmemgraph.com/­docslearn.microsoft.com/­en-US/­sql/­sql-serverdocs.raima.comdocs.tdengine.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
EntwicklerGoogleMemgraph LtdMicrosoftRaima Inc.TDEngine, previously Taos Data
Erscheinungsjahr20082017198919842019
Aktuelle VersionSQL Server 2022, November 202215, Juni 20213.0, August 2022
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoBSL 1.1; commercial license for enterprise edition availablekommerziell infoeingeschränkte kostenlose Version verfügbarkommerziellOpen Source infoAGPL V3, also commercial editions available
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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
ImplementierungsspracheC und C++C++CC
Server BetriebssystemegehostetLinuxLinux
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
Windows
Datenschemaschemafreischemafrei und schema-optionaljajaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, Details hierjajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein infoExporting/Importing of XML structures possiblenein
Sekundärindizesjajajanein
SQL infoSupport of SQLSQL-like query language (GQL)neinjajaStandard SQL with extensions for time-series applications
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Objective-C
PL/SQL
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresmit Google App EngineTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javaja infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationnein
TriggersCallbacks mit Google Apps Enginejajayes, via alarm monitoring
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infodynamic graph partitioningTabellen können auf mehrere Files aufgeteilt werden (horizontale Partitionierung), sharding möglich (mittels federation)horizontale PartitionierungSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-source replication using PaxosMulti-source replication using RAFTja, aber abhängig von der SQL-Server EditionSource-Replica Replikationja
MapReduce infoBietet ein API für Map/Reduce Operationenja infomittels Google Cloud Dataflowneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Fremdschlüssel inforeferenzielle Integritätja infovia ReferenceProperties or Ancestor pathsja inforelationships in graphsjajanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infowith snapshot isolationACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)jayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjaja infowith periodic snapshot and write-ahead logging (WAL) of changesjajaja
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)Users, roles and permissionsBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardneinyes
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud DatastoreMemgraphMicrosoft SQL ServerRaima Database Manager infoformerly named db_VistaTDengine
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» mehr
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» mehr
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» mehr
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» mehr
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» mehr
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» mehr
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» mehr
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» mehr
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» mehr
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» mehr
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» mehr
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» mehr
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» mehr
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» mehr
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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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