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DBMS > GeoSpock vs. Hazelcast vs. Hypertable vs. Milvus vs. Trafodion

System Properties Comparison GeoSpock vs. Hazelcast vs. Hypertable vs. Milvus vs. Trafodion

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHazelcast  Xexclude from comparisonHypertable  Xexclude from comparisonMilvus  Xexclude from comparisonTrafodion  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA widely adopted in-memory data gridAn open source BigTable implementation based on distributed file systems such as HadoopA DBMS designed for efficient storage of vector data and vector similarity searchesTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value storeWide column storeVector DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitegeospock.comhazelcast.commilvus.iotrafodion.apache.org
Technical documentationhazelcast.org/­imdg/­docsmilvus.io/­docs/­overview.mdtrafodion.apache.org/­documentation.html
DeveloperGeoSpockHazelcastHypertable Inc.Apache Software Foundation, originally developed by HP
Initial release2008200920192014
Current release2.0, September 20195.3.6, November 20230.9.8.11, March 20162.3.4, January 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
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++C++, GoC++, Java
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoVector, Numeric and Stringyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexestemporal, categoricalyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query languagenonoyes
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Thrift
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnonoJava Stored Procedures
Triggersnoyes infoEventsnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factor on file system levelyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednonoACID
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.noyesyesno
User concepts infoAccess controlAccess rights for users can be defined per tableRole-based access controlnoRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoSpockHazelcastHypertableMilvusTrafodion
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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GeoSpockHazelcastHypertableMilvusTrafodion
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