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DBMS > etcd vs. H2 vs. HugeGraph vs. KeyDB

System Properties Comparison etcd vs. H2 vs. HugeGraph vs. KeyDB

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonH2  Xexclude from comparisonHugeGraph  Xexclude from comparisonKeyDB  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.A fast-speed and highly-scalable Graph DBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelKey-value storeRelational DBMSGraph DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.h2database.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2database.com/­html/­main.htmlhugegraph.apache.org/­docsdocs.keydb.dev
DeveloperThomas MuellerBaiduEQ Alpha Technology Ltd.
Initial release200520182019
Current release3.4, August 20192.2.220, July 20230.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0Open Source infoBSD-3
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.
Implementation languageGoJavaJavaC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
macOS
Unix
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesnoyesyes infoalso supports composite index and range indexyes infoby using the Redis Search module
SQL infoSupport of SQLnoyesnono
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaGroovy
Java
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsasynchronous Gremlin script jobsLua
Triggersyes, watching key changesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
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 infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynoyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
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-standardUsers, roles and permissionssimple password-based access control and ACL

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More resources
etcdH2HugeGraphKeyDB
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