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DBMS > GridGain vs. Hyprcubd vs. MaxDB vs. Milvus

System Properties Comparison GridGain vs. Hyprcubd vs. MaxDB vs. Milvus

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHyprcubd  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMilvus  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteServerless Time Series DBMSA robust and reliable RDBMS optimized to run all major SAP solutionsA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitewww.gridgain.comhyprcubd.com (offline)maxdb.sap.commilvus.io
Technical documentationwww.gridgain.com/­docs/­index.htmlmaxdb.sap.com/­documentationmilvus.io/­docs/­overview.md
DeveloperGridGain Systems, Inc.Hyprcubd, Inc.SAP, acquired from Software AG (Adabas-D) in 1997
Initial release200719842019
Current releaseGridGain 8.5.17.9.10.12, February 20242.4.4, May 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
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, C++, .NetGoC++C++, Go
Server operating systemsLinux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesVector, 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.yesnonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC (https)ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
Perl
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesno
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.yesnonoyes
User concepts infoAccess controlSecurity Hooks for custom implementationstoken accessfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
GridGainHyprcubdMaxDB infoformerly named Adabas-DMilvus
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
GridGainHyprcubdMaxDB infoformerly named Adabas-DMilvus
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