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DBMS > EsgynDB vs. Greenplum vs. GreptimeDB vs. LokiJS vs. MonetDB

System Properties Comparison EsgynDB vs. Greenplum vs. GreptimeDB vs. LokiJS vs. MonetDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonGreptimeDB  Xexclude from comparisonLokiJS  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.An open source Time Series DBMS built for increased scalability, high performance and efficiencyIn-memory JavaScript DBMSA relational database management system that stores data in columns
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score0.44
Rank#256  Overall
#40  Document stores
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websitewww.esgyn.cngreenplum.orggreptime.comgithub.com/­techfort/­LokiJSwww.monetdb.org
Technical documentationdocs.greenplum.orgdocs.greptime.comtechfort.github.io/­LokiJSwww.monetdb.org/­Documentation
DeveloperEsgynPivotal Software Inc.Greptime Inc.MonetDB BV
Initial release20152005202220142004
Current release7.0.0, September 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourceOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaRustJavaScriptC
Server operating systemsLinuxLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyes infosince Version 4.2nono
Secondary indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLyesyesyesnoyes infoSQL 2003 with some extensions
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
gRPC
HTTP API
JDBC
JavaScript APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
C++
Erlang
Go
Java
JavaScript
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresJava Stored ProceduresyesPythonView functions in JavaScriptyes, in SQL, C, R
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationnonenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardSimple rights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
EsgynDBGreenplumGreptimeDBLokiJSMonetDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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EsgynDBGreenplumGreptimeDBLokiJSMonetDB
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