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DBMS > EsgynDB vs. Galaxybase vs. Greenplum vs. GreptimeDB vs. Interbase

System Properties Comparison EsgynDB vs. Galaxybase vs. Greenplum vs. GreptimeDB vs. Interbase

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonGreenplum  Xexclude from comparisonGreptimeDB  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable, ACID-compliant native distributed parallel graph platformAnalytic 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 efficiencyLight-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMSGraph DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Websitewww.esgyn.cngalaxybase.comgreenplum.orggreptime.comwww.embarcadero.com/­products/­interbase
Technical documentationdocs.greenplum.orgdocs.greptime.comdocs.embarcadero.com/­products/­interbase
DeveloperEsgynChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Pivotal Software Inc.Greptime Inc.Embarcadero
Initial release20152017200520221984
Current releaseNov 20, November 20217.0.0, September 2023InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC and JavaRustC
Server operating systemsLinuxLinuxLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Android
iOS
Linux
OS X
Windows
Data schemeyesStrong typed schemayesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infosince Version 4.2nono infoexport as XML data possible
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnoyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JDBC
ODBC
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
Java
Python
C
Java
Perl
Python
R
C++
Erlang
Go
Java
JavaScript
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined procedures and functionsyesPythonyes infoInterbase procedure and trigger language
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMultiversion concurreny control
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardSimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
EsgynDBGalaxybaseGreenplumGreptimeDBInterbase
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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More resources
EsgynDBGalaxybaseGreenplumGreptimeDBInterbase
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