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DBMS > GeoSpock vs. HyperSQL vs. Milvus vs. Newts vs. Oracle Rdb

System Properties Comparison GeoSpock vs. HyperSQL vs. Milvus vs. Newts vs. Oracle Rdb

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMilvus  Xexclude from comparisonNewts  Xexclude from comparisonOracle Rdb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial 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 searchesTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSVector DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitegeospock.comhsqldb.orgmilvus.ioopennms.github.io/­newtswww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlmilvus.io/­docs/­overview.mdgithub.com/­OpenNMS/­newts/­wikiwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperGeoSpockOpenNMS GroupOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2001201920141984
Current release2.0, September 20192.7.2, June 20232.3.4, January 20247.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 languageJava, JavascriptJavaC++, GoJava
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
HP Open VMS
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesVector, Numeric and 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
Secondary indexestemporal, categoricalyesnonoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesnonoyes
APIs and other access methodsJDBCHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP APIHTTP REST
Java API
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C++
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresnoJava, SQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesnono
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardRole based access control and fine grained access rightsno
More information provided by the system vendor
GeoSpockHyperSQL infoalso known as HSQLDBMilvusNewtsOracle Rdb
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
GeoSpockHyperSQL infoalso known as HSQLDBMilvusNewtsOracle Rdb
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