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DBMS > Graph Engine vs. PieCloudDB vs. Prometheus

System Properties Comparison Graph Engine vs. PieCloudDB vs. Prometheus

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonPieCloudDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA cloud-native analytic database platform with new technologoy for elastic MPPOpen-source Time Series DBMS and monitoring system
Primary database modelGraph DBMS
Key-value store
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.37
Rank#271  Overall
#127  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websitewww.graphengine.iowww.openpie.comprometheus.io
Technical documentationwww.graphengine.io/­docs/­manualprometheus.io/­docs
DeveloperMicrosoftOpenPie
Initial release20102015
Current release2.1, January 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CGo
Server operating systems.NEThostedLinux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infoImport of XML data possible
Secondary indexesyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
F#
Visual Basic
Java
PL/SQL
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUser Roles and pluggable authentication with full SQL Standardno
More information provided by the system vendor
Graph Engine infoformer name: TrinityPieCloudDBPrometheus
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Graph Engine infoformer name: TrinityPieCloudDBPrometheus
Recent citations in the news

Trinity
30 October 2010, microsoft.com

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

IBM releases Graph, a service that can outperform SQL databases
27 July 2016, GeekWire

Aerospike Is Now a Graph Database, Too
21 June 2023, Datanami

The graph analytics landscape 2019
27 February 2019, Data Science Central

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Introducing the Amazon Timestream for LiveAnalytics Prometheus Connector
8 July 2024, AWS Blog

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10 March 2024, AWS Blog

Consider Grafana vs. Prometheus for your time-series tools
18 October 2021, TechTarget

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24 July 2021, hackernoon.com

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