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DBMS > etcd vs. JanusGraph vs. SingleStore vs. Vitess

System Properties Comparison etcd vs. JanusGraph vs. SingleStore vs. Vitess

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA distributed reliable key-value storeA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
janusgraph.orgwww.singlestore.comvitess.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.janusgraph.orgdocs.singlestore.comvitess.io/­docs
DeveloperLinux Foundation; originally developed as Titan by AureliusSingleStore Inc.The Linux Foundation, PlanetScale
Initial release201720132013
Current release3.4, August 20191.0.0, October 20238.5, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++, GoGo
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Unix
Windows
Linux info64 bit version requiredDocker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysyes infowith proprietary extensions
APIs and other access methodsgRPC
JSON over HTTP
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Clojure
Java
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesyesyes infoproprietary syntax
Triggersyes, watching key changesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph ServerFine grained access control via users, groups and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
etcdJanusGraph infosuccessor of TitanSingleStore infoformer name was MemSQLVitess
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