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DBMS > AgensGraph vs. etcd vs. PlanetScale vs. Riak KV

System Properties Comparison AgensGraph vs. etcd vs. PlanetScale vs. Riak KV

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonetcd  Xexclude from comparisonPlanetScale  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA distributed reliable key-value storeScalable, distributed, serverless MySQL database platform built on top of VitessDistributed, fault tolerant key-value store
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitebitnine.net/­agensgraphetcd.io
github.com/­etcd-io/­etcd
planetscale.com
Technical documentationbitnine.net/­documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
planetscale.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBitnine Global Inc.PlanetScaleOpenSource, formerly Basho Technologies
Initial release201620202009
Current release2.1, December 20183.4, August 20193.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoGoErlang
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
Docker
Linux
macOS
Linux
OS X
Data schemedepending on used data modelschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesnoyesrestricted
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsno
APIs and other access methodsCypher Query Language
JDBC
gRPC
JSON over HTTP
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesnoyes infoproprietary syntaxErlang
Triggersnoyes, watching key changesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or rolesyes, using Riak Security

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More resources
AgensGraphetcdPlanetScaleRiak KV
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