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DBMS > EsgynDB vs. Galaxybase vs. Hive vs. Interbase vs. TimescaleDB

System Properties Comparison EsgynDB vs. Galaxybase vs. Hive vs. Interbase vs. TimescaleDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonHive  Xexclude from comparisonInterbase  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable, ACID-compliant native distributed parallel graph platformdata warehouse software for querying and managing large distributed datasets, built on HadoopLight-weight proven RDBMS infooriginally from BorlandA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.esgyn.cngalaxybase.comhive.apache.orgwww.embarcadero.com/­products/­interbasewww.timescale.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.embarcadero.com/­products/­interbasedocs.timescale.com
DeveloperEsgynChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Apache Software Foundation infoinitially developed by FacebookEmbarcaderoTimescale
Initial release20152017201219842017
Current releaseNov 20, November 20213.1.3, April 2022InterBase 2020, December 20192.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialOpen Source infoApache 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++, JavaC and JavaJavaCC
Server operating systemsLinuxLinuxAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesStrong typed schemayesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonono infoexport as XML data possibleyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
ODBC
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
Java
Python
C++
Java
PHP
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined procedures and functionsyes infouser defined functions and integration of map-reduceyes infoInterbase procedure and trigger languageuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factorInterbase Change ViewsSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
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.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EsgynDBGalaxybaseHiveInterbaseTimescaleDB
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