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DBMS > FeatureBase vs. GBase vs. Milvus vs. RisingWave

System Properties Comparison FeatureBase vs. GBase vs. Milvus vs. RisingWave

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGBase  Xexclude from comparisonMilvus  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A DBMS designed for efficient storage of vector data and vector similarity searchesA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.featurebase.comwww.gbase.cnmilvus.iowww.risingwave.com/­database
Technical documentationdocs.featurebase.commilvus.io/­docs/­overview.mddocs.risingwave.com/­docs/­current/­intro
DeveloperMolecula and Pilosa Open Source ContributorsGeneral Data Technology Co., Ltd.RisingWave Labs
Initial release2017200420192022
Current release2022, May 2022GBase 8a, GBase 8s, GBase 8c2.3.4, January 20241.2, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageGoC, Java, PythonC++, GoRust
Server operating systemsLinux
macOS
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and StringStandard SQL-types and JSON
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.noyesnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL queriesStandard with numerous extensionsnoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
C API
JDBC
ODBC
RESTful HTTP APIJDBC
PostgreSQL wire protocol
Supported programming languagesJava
Python
C#C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoUDFs in Python or Java
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesRole based access control and fine grained access rightsUsers and Roles
More information provided by the system vendor
FeatureBaseGBaseMilvusRisingWave
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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FeatureBaseGBaseMilvusRisingWave
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