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DBMS > GreptimeDB vs. Heroic vs. InfluxDB vs. Microsoft Azure Synapse Analytics vs. SingleStore

Vergleich der Systemeigenschaften GreptimeDB vs. Heroic vs. InfluxDB vs. Microsoft Azure Synapse Analytics vs. SingleStore

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGreptimeDB  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessen
KurzbeschreibungAn open source Time Series DBMS built for increased scalability, high performance and efficiencyTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDBMS for storing time series, events and metricsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMySQL 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 type
Primäres DatenbankmodellTime Series DBMSTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageDocument Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,06
Rang#352  Overall
#33  Time Series DBMS
Punkte0,51
Rang#255  Overall
#21  Time Series DBMS
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte20,56
Rang#31  Overall
#19  Relational DBMS
Punkte5,60
Rang#62  Overall
#35  Relational DBMS
Websitegreptime.comgithub.com/­spotify/­heroicwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­synapse-analyticswww.singlestore.com
Technische Dokumentationdocs.greptime.comspotify.github.io/­heroicdocs.influxdata.com/­influxdbdocs.microsoft.com/­azure/­synapse-analyticsdocs.singlestore.com
EntwicklerGreptime Inc.SpotifyMicrosoftSingleStore Inc.
Erscheinungsjahr20222014201320162013
Aktuelle Version2.7.6, April 20248.5, Jänner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablekommerziellkommerziell infofree developer edition available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
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
ImplementierungsspracheRustJavaGoC++C++, Go
Server BetriebssystemeAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X infothrough Homebrew
gehostetLinux info64 bit version required
Datenschemaschema-free, schema definition possibleschemafreischemafreijaja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaNumeric data and Stringsjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinnein
Sekundärindizesjaja infovia Elasticsearchneinjaja
SQL infoSupport of SQLjaneinSQL-like query languagejayes infobut no triggers and foreign keys
APIs und andere ZugriffskonzeptegRPC
HTTP API
JDBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Unterstützte ProgrammiersprachenC++
Erlang
Go
Java
JavaScript
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
PHP
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored ProceduresPythonneinneinTransact SQLja
Triggersneinneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoin enterprise version onlySharding, horizontal partitioningSharding infohash partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjafrei wählbarer Replikationsfaktor infoin enterprise version onlyjaSource-Replica Replikation infostores two copies of each physical data partition on two separate nodes
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinnein infocan define user-defined aggregate functions for map-reduce-style calculations
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajajajaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoDepending on used storage engineja
Berechtigungskonzept infoZugriffskontrolleSimple rights management via user accountsEinfache Rechteverwaltung mit BenutzeraccountsjaFine grained access control via users, groups and roles
Weitere Informationen bereitgestellt vom Systemhersteller
GreptimeDBHeroicInfluxDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSingleStore infoformer name was MemSQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» mehr
InfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» mehr
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» mehr
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» mehr
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» mehr
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» mehr
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» mehr
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» mehr
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» mehr
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Customers in various industries worldwide including US and International Industry...
» mehr
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» mehr
Open source core with closed source clustering available either on-premise or on...
» mehr
F ree Tier and Enterprise Edition
» mehr
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5. April 2024

Comparing Dates in Java: A Tutorial
3. April 2024

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Weitere Ressourcen
GreptimeDBHeroicInfluxDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSingleStore infoformer name was MemSQL
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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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) 

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