DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Hive vs. etcd vs. Milvus

System Properties Comparison Apache Hive vs. etcd vs. Milvus

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonetcd  Xexclude from comparisonMilvus  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed reliable key-value storeA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.49
Rank#18  Overall
#12  Relational DBMS
Score7.06
Rank#47  Overall
#5  Key-value stores
Score2.77
Rank#92  Overall
#6  Vector DBMS
Websitehive.apache.orgetcd.io
github.com/­etcd-io/­etcd
milvus.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
milvus.io/­docs/­overview.md
DeveloperApache Software Foundation infoinitially developed by Facebook
Initial release20122019
Current release3.1.3, April 20223.4, August 20192.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++, Go
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesnoVector, 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.nono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
JSON over HTTP
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnoyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and rolesnoRole based access control and fine grained access rights
More information provided by the system vendor
Apache HiveetcdMilvus
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache HiveetcdMilvus
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

What Is Apache Iceberg?
18 December 2024, ibm.com

18 Top Big Data Tools and Technologies to Know About in 2025
22 January 2025, TechTarget

Unlock efficient data processing with Iceberg
11 November 2024, SiliconANGLE News

Pinot for Low-Latency Offline Table Analytics
1 August 2024, Uber

Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation
10 June 2024, AWS Blog

provided by Google News

⎈ DIY: Create your own cloud, etcd and raft, Observability solution with ClickHouse, Pod with more than one network, port-forward explained
4 September 2024, substack.com

ETCD guidelines: RBI seeks to balance rupee stability, competitiveness | Policy Circle
8 April 2024, Policy Circle

etcd gets ready to graduate
17 November 2020, AWS Blog

How to restore a Kubernetes cluster from an etcd snapshot
16 December 2021, TechTarget

A Kubernetes Operator for etcd
13 October 2020, InfoQ.com

provided by Google News

Milvus 2.5 Creates the Best of Both Worlds With Hybrid Vector-Keyword Search
17 December 2024, GlobeNewswire

AI-Powered Search Engine With Milvus Vector Database on Vultr
7 November 2024, SitePoint

Open source vector database vendor targets enterprise AI costs with cloud update
19 November 2024, VentureBeat

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26 March 2024, The New Stack

IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9 April 2024, IBM

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here