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DBMS > GridGain vs. Hypertable vs. Hyprcubd vs. Milvus

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

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHypertable  Xexclude from comparisonHyprcubd  Xexclude from comparisonMilvus  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn open source BigTable implementation based on distributed file systems such as HadoopServerless Time Series DBMSA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Wide column storeTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Websitewww.gridgain.comhyprcubd.com (offline)milvus.io
Technical documentationwww.gridgain.com/­docs/­index.htmlmilvus.io/­docs/­overview.md
DeveloperGridGain Systems, Inc.Hypertable Inc.Hyprcubd, Inc.
Initial release200720092019
Current releaseGridGain 8.5.10.9.8.11, March 20162.4.4, May 2024
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
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++, .Net, Python, REST, SQLC++GoC++, Go
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infotime, int, uint, float, stringVector, 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.yesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansnono
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languageno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Thrift
gRPC (https)RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.yesnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
notoken accessRole based access control and fine grained access rights
More information provided by the system vendor
GridGainHypertableHyprcubdMilvus
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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GridGainHypertableHyprcubdMilvus
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