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DBMS > EsgynDB vs. GreptimeDB vs. Hyprcubd vs. JaguarDB vs. Raima Database Manager

System Properties Comparison EsgynDB vs. GreptimeDB vs. Hyprcubd vs. JaguarDB vs. Raima Database Manager

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonJaguarDB  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyServerless Time Series DBMSPerformant, highly scalable DBMS for AI and IoT applicationsRDBMS with a small footprint, either embedded into an application or used as a database server
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSKey-value store
Vector DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Websitewww.esgyn.cngreptime.comhyprcubd.com (offline)www.jaguardb.comraima.com
Technical documentationdocs.greptime.comwww.jaguardb.com/­support.htmldocs.raima.com
DeveloperEsgynGreptime Inc.Hyprcubd, Inc.DataJaguar, Inc.Raima Inc.
Initial release2015202220151984
Current release3.3 July 202315, June 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaRustGoC++ infothe server part. Clients available in other languagesC
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedLinuxAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Data schemeyesschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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.nonononono infoExporting/Importing of XML structures possible
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP API
JDBC
gRPC (https)JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Erlang
Go
Java
JavaScript
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Objective-C
PL/SQL
Server-side scripts infoStored proceduresJava Stored ProceduresPythonnonoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSimple rights management via user accountstoken accessrights management via user accountsno
More information provided by the system vendor
EsgynDBGreptimeDBHyprcubdJaguarDBRaima Database Manager infoformerly named db_Vista
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Over 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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1 October 2020

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19 May 2020

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

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EsgynDBGreptimeDBHyprcubdJaguarDBRaima Database Manager infoformerly named db_Vista
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