DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Google Cloud Bigtable vs. RDF4J vs. SingleStore vs. TDengine

Vergleich der Systemeigenschaften Google Cloud Bigtable vs. RDF4J vs. SingleStore vs. TDengine

Bitte wählen Sie ein weiteres System aus, um es in den Vergleich aufzunehmen.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Bigtable  Xaus Vergleich ausschliessenRDF4J infoformerly known as Sesame  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenTDengine  Xaus Vergleich ausschliessen
KurzbeschreibungGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.RDF4J ist ein Java Framework zur Verarbeitung von RDF Daten, sowohl Hauptspeicher- als auch Disk-basiert.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeTime Series DBMS and big data platform
Primäres DatenbankmodellKey-Value Store
Wide Column Store
RDF StoreRelational DBMSTime Series DBMS
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,26
Rang#92  Overall
#13  Key-Value Stores
#8  Wide Column Stores
Punkte0,69
Rang#230  Overall
#9  RDF Stores
Punkte5,60
Rang#62  Overall
#35  Relational DBMS
Punkte2,60
Rang#107  Overall
#8  Time Series DBMS
Websitecloud.google.com/­bigtablerdf4j.orgwww.singlestore.comgithub.com/­taosdata/­TDengine
tdengine.com
Technische Dokumentationcloud.google.com/­bigtable/­docsrdf4j.org/­documentationdocs.singlestore.comdocs.tdengine.com
EntwicklerGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SingleStore Inc.TDEngine, previously Taos Data
Erscheinungsjahr2015200420132019
Aktuelle Version8.5, Jänner 20243.0, August 2022
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoEclipse Distribution License (EDL), v1.0.kommerziell infofree developer edition availableOpen Source infoAGPL V3, also commercial editions available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
ImplementierungsspracheJavaC++, GoC
Server BetriebssystemegehostetLinux
OS X
Unix
Windows
Linux info64 bit version requiredLinux
Windows
Datenschemaschemafreija infoRDF Schemasjaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinnein
Sekundärindizesneinjajanein
SQL infoSupport of SQLneinneinyes infobut no triggers and foreign keysStandard SQL with extensions for time-series applications
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
RESTful HTTP API
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresneinjajanein
Triggersneinjaneinyes, via alarm monitoring
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineSharding infohash partitioningSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenInternal replication in Colossus, and regional replication between two clusters in different zoneskeineSource-Replica Replikation infostores two copies of each physical data partition on two separate nodesja
MapReduce infoBietet ein API für Map/Reduce Operationenjaneinnein infocan define user-defined aggregate functions for map-reduce-style calculations
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-row operationsACID infoIsolation abhängig vom verwendeten APIACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjaja infoIn-memory Storage wird ebenfalls unterstütztja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.ja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)neinFine grained access control via users, groups and rolesyes
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud BigtableRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQLTDengine
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» mehr
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» mehr
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» mehr
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» mehr
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» mehr
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» mehr
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» mehr
Market metricsCustomers in various industries worldwide including US and International Industry...
» mehr
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» mehr
Licensing and pricing modelsF ree Tier and Enterprise Edition
» mehr
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» mehr
Neuigkeiten

Can Typical Time-Series Databases Replace Data Historians?
8. Mai 2024

TDengine 3.3.0.0 Release Notes
7. Mai 2024

How to Unlock Value from Industrial Data with AI and ML Technology
6. Mai 2024

Compare InfluxDB vs. TDengine
19. April 2024

Why We Need the Next Generation Data Historian
15. 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.

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Google Cloud BigtableRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQLTDengine
DB-Engines Blog Posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17. Oktober 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9. Juni 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14. Februar 2022,  Akmal Chaudhri, SingleStore (sponsor) 

alle anzeigen

Erwähnungen in aktuellen Nachrichten

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1. März 2024, Forbes

Google expands BigQuery with Gemini, brings vector support to cloud databases
29. Februar 2024, VentureBeat

Google announces Axion, its first Arm-based CPU for data centers
9. April 2024, Yahoo Movies Canada

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31. Januar 2022, InfoQ.com

Review: Google Bigtable scales with ease
7. September 2016, InfoWorld

bereitgestellt von Google News

GraphDB Goes Open Source
27. Januar 2020, iProgrammer

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13. Juni 2019, Markets Insider

bereitgestellt von Google News

SingleStore CEO sees little future for purpose-built vector databases
24. Januar 2024, VentureBeat

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
17. April 2024, Madrona Venture Group

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development
24. Januar 2024, businesswire.com

SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files
29. Januar 2024, Blocks & Files

Leveraging SingleStoreDB Cloud Private Connectivity Using AWS PrivateLink | Amazon Web Services
6. Dezember 2023, AWS Blog

bereitgestellt von Google News

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20. September 2022, SiliconANGLE News

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28. Februar 2023, GlobeNewswire

Comparing Different Time-Series Databases
10. Februar 2022, hackernoon.com

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Präsentieren Sie hier Ihr Produkt