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DBMS > EsgynDB vs. Firebird vs. GeoSpock vs. HyperSQL vs. Milvus

System Properties Comparison EsgynDB vs. Firebird vs. GeoSpock vs. HyperSQL vs. Milvus

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFirebird  Xexclude from comparisonGeoSpock  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMilvus  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFirebird is an open source RDBMS forked from Borland's InterBaseSpatial and temporal data processing engine for extreme data scaleMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitewww.esgyn.cnwww.firebirdsql.orggeospock.comhsqldb.orgmilvus.io
Technical documentationwww.firebirdsql.org/­en/­reference-manualshsqldb.org/­web/­hsqlDocsFrame.htmlmilvus.io/­docs/­overview.md
DeveloperEsgynFirebird FoundationGeoSpock
Initial release20152000 infoAs fork of Borland's InterBase20012019
Current release5.0.0, January 20242.0, September 20192.7.2, June 20232.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicensecommercialOpen Source infobased on BSD licenseOpen Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, JavaC and C++Java, JavascriptJavaC++, Go
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesVector, Numeric and String
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.nononono
Secondary indexesyesyestemporal, categoricalyesno
SQL infoSupport of SQLyesyesANSI SQL for query only (using Presto)yesno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBCHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored ProceduresPSQLnoJava, SQLno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess rights for users can be defined per tablefine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
EsgynDBFirebirdGeoSpockHyperSQL infoalso known as HSQLDBMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
EsgynDBFirebirdGeoSpockHyperSQL infoalso known as HSQLDBMilvus
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