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DBMS > Geode vs. HarperDB vs. Milvus vs. ObjectBox

System Properties Comparison Geode vs. HarperDB vs. Milvus vs. ObjectBox

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHarperDB  Xexclude from comparisonMilvus  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesUltra-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.A DBMS designed for efficient storage of vector data and vector similarity searchesExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelKey-value storeDocument storeVector DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitegeode.apache.orgwww.harperdb.iomilvus.ioobjectbox.io
Technical documentationgeode.apache.org/­docsdocs.harperdb.io/­docsmilvus.io/­docs/­overview.mddocs.objectbox.io
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HarperDBObjectBox Limited
Initial release2002201720192017
Current release1.1, February 20173.1, August 20212.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree community edition availableOpen Source infoApache Version 2.0Open Source infoApache License 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 languageJavaNode.jsC++, GoC and C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
iOS
Linux
macOS
Windows
Data schemeschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesVector, Numeric and Stringyes
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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like data manipulation statementsnono
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP APIProprietary native API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
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
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1nono
Triggersyes infoCache Event Listenersnonono
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 nodesMulti-source replicationyes infothe nodes on which a table resides can be definedonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and rolesRole based access control and fine grained access rightsyes
More information provided by the system vendor
GeodeHarperDBMilvusObjectBox
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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