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DBMS > GBase vs. Hypertable vs. Milvus vs. PouchDB vs. Prometheus

System Properties Comparison GBase vs. Hypertable vs. Milvus vs. PouchDB vs. Prometheus

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHypertable  Xexclude from comparisonMilvus  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.An open source BigTable implementation based on distributed file systems such as HadoopA DBMS designed for efficient storage of vector data and vector similarity searchesJavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSWide column storeVector DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.gbase.cnmilvus.iopouchdb.comprometheus.io
Technical documentationmilvus.io/­docs/­overview.mdpouchdb.com/­guidesprometheus.io/­docs
DeveloperGeneral Data Technology Co., Ltd.Hypertable Inc.Apache Software Foundation
Initial release20042009201920122015
Current releaseGBase 8a, GBase 8s, GBase 8c0.9.8.11, March 20162.3.4, January 20247.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC, Java, PythonC++C++, GoJavaScriptGo
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoVector, Numeric and StringnoNumeric data only
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.yesnonono infoImport of XML data possible
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoyes infovia viewsno
SQL infoSupport of SQLStandard with numerous extensionsnononono
APIs and other access methodsADO.NET
C API
JDBC
ODBC
C++ API
Thrift
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON API
Supported programming languagesC#C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoView functions in JavaScriptno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistencynone
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesnoRole based access control and fine grained access rightsnono
More information provided by the system vendor
GBaseHypertableMilvusPouchDBPrometheus
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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