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DBMS > etcd vs. H2 vs. HarperDB vs. Milvus

System Properties Comparison etcd vs. H2 vs. HarperDB vs. Milvus

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonH2  Xexclude from comparisonHarperDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA distributed reliable key-value storeFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Ultra-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 searches
Primary database modelKey-value storeRelational DBMSDocument storeVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.h2database.comwww.harperdb.iomilvus.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2database.com/­html/­main.htmldocs.harperdb.io/­docsmilvus.io/­docs/­overview.md
DeveloperThomas MuellerHarperDB
Initial release200520172019
Current release3.4, August 20192.2.220, July 20233.1, August 20212.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree community edition availableOpen Source infoApache Version 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 languageGoJavaNode.jsC++, Go
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesdynamic schema
Typing infopredefined data types such as float or datenoyesyes infoJSON data typesVector, 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.nononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesSQL-like data manipulation statementsno
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java.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
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1no
Triggersyes, watching key changesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesRole based access control and fine grained access rights
More information provided by the system vendor
etcdH2HarperDBMilvus
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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etcdH2HarperDBMilvus
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