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DBMS > EXASOL vs. Galaxybase vs. GigaSpaces vs. Milvus

System Properties Comparison EXASOL vs. Galaxybase vs. GigaSpaces vs. Milvus

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGalaxybase  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Scalable, ACID-compliant native distributed parallel graph platformHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSGraph DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Vector DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitewww.exasol.comgalaxybase.comwww.gigaspaces.commilvus.io
Technical documentationwww.exasol.com/­resourcesdocs.gigaspaces.com/­latest/­landing.htmlmilvus.io/­docs/­overview.md
DeveloperExasolChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Gigaspaces Technologies
Initial release2000201720002019
Current releaseNov 20, November 202115.5, September 20202.3.4, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen 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 languageC and JavaJava, C++, .NetC++, Go
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesStrong typed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesVector, 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.nonono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoSQL-99 for query and DML statementsno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
Go
Java
Python
.Net
C++
Java
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined procedures and functionsyesno
Triggersyesyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole-based access controlRole-based access controlRole based access control and fine grained access rights
More information provided by the system vendor
EXASOLGalaxybaseGigaSpacesMilvus
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
EXASOLGalaxybaseGigaSpacesMilvus
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