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DBMS > GridGain vs. HarperDB vs. Hyprcubd vs. Milvus vs. UniData,UniVerse

System Properties Comparison GridGain vs. HarperDB vs. Hyprcubd vs. Milvus vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHarperDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonMilvus  Xexclude from comparisonUniData,UniVerse  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 IgniteUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Serverless Time Series DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value store
Relational DBMS
Document storeTime Series DBMSVector DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.gridgain.comwww.harperdb.iohyprcubd.com (offline)milvus.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.harperdb.io/­docsmilvus.io/­docs/­overview.mddocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGridGain Systems, Inc.HarperDBHyprcubd, Inc.Rocket Software
Initial release2007201720191985
Current releaseGridGain 8.5.13.1, August 20212.3.4, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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++, .NetNode.jsGoC++, GoC
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infotime, int, uint, float, stringVector, Numeric and Stringoptional
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 indexesyesyesnonoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like data manipulation statementsSQL-like query languagenoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
gRPC (https)RESTful HTTP APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Custom Functions infosince release 3.1nonoyes
Triggersyes (cache interceptors and events)nononoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infothe nodes on which a table resides can be definedSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
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 integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnonoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and rolestoken accessRole based access control and fine grained access rightsAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
GridGainHarperDBHyprcubdMilvusUniData,UniVerse
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
GridGainHarperDBHyprcubdMilvusUniData,UniVerse
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