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DBMS > Citus vs. EJDB vs. GBase vs. Ignite vs. Milvus

System Properties Comparison Citus vs. EJDB vs. GBase vs. Ignite vs. Milvus

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonEJDB  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value store
Relational DBMS
Vector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitewww.citusdata.comgithub.com/­Softmotions/­ejdbwww.gbase.cnignite.apache.orgmilvus.io
Technical documentationdocs.citusdata.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdapacheignite.readme.io/­docsmilvus.io/­docs/­overview.md
DeveloperSoftmotionsGeneral Data Technology Co., Ltd.Apache Software Foundation
Initial release20102012200420152019
Current release8.1, December 2018GBase 8a, GBase 8s, GBase 8cApache Ignite 2.62.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGPLv2commercialOpen Source infoApache 2.0Open Source infoApache Version 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 languageCCC, Java, PythonC++, Java, .NetC++, Go
Server operating systemsLinuxserver-lessLinuxLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesVector, 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.yes infospecific XML type available, but no XML query functionalityyesyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared libraryADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersyesnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
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 integrityyesno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesSecurity Hooks for custom implementationsRole based access control and fine grained access rights
More information provided by the system vendor
CitusEJDBGBaseIgniteMilvus
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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