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DBMS > Hive vs. Milvus vs. ObjectBox vs. Pinecone vs. WakandaDB

System Properties Comparison Hive vs. Milvus vs. ObjectBox vs. Pinecone vs. WakandaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMilvus  Xexclude from comparisonObjectBox  Xexclude from comparisonPinecone  Xexclude from comparisonWakandaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA DBMS designed for efficient storage of vector data and vector similarity searchesLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA managed, cloud-native vector databaseWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSVector DBMSObject oriented DBMS
Vector DBMS
Vector DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitehive.apache.orgmilvus.iogithub.com/­objectbox
objectbox.io
www.pinecone.iowakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homemilvus.io/­docs/­overview.mddocs.objectbox.iodocs.pinecone.io/­docs/­overviewwakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookObjectBox LimitedPinecone Systems, IncWakanda SAS
Initial release20122019201720192012
Current release3.1.3, April 20222.4.4, May 20244.0 (May 2024)2.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Bindings are released under Apache 2.0 infoApache License 2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
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 languageJavaC++, GoC and C++C++, JavaScript
Server operating systemsAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
hostedLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes, plus "flex" map-like typesString, Number, Booleanyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononono
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP APIProprietary native APIRESTful HTTP APIRESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
PythonJavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorData sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users, groups and rolesRole based access control and fine grained access rightsyesyes
More information provided by the system vendor
HiveMilvusObjectBoxPineconeWakandaDB
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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