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DBMS > AgensGraph vs. Dgraph vs. EsgynDB vs. KeyDB vs. SwayDB

System Properties Comparison AgensGraph vs. Dgraph vs. EsgynDB vs. KeyDB vs. SwayDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonKeyDB  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelGraph DBMS
Relational DBMS
Graph DBMSRelational DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitebitnine.net/­agensgraphdgraph.iowww.esgyn.cngithub.com/­Snapchat/­KeyDB
keydb.dev
swaydb.simer.au
Technical documentationbitnine.net/­documentationdgraph.io/­docsdocs.keydb.dev
DeveloperBitnine Global Inc.Dgraph Labs, Inc.EsgynEQ Alpha Technology Ltd.Simer Plaha
Initial release20162016201520192018
Current release2.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercialOpen Source infoBSD-3Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++, JavaC++Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxLinux
Data schemedepending on used data modelschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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.nonononono
Secondary indexesyesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLyesnoyesnono
APIs and other access methodsCypher Query Language
JDBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
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
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesnoJava Stored ProceduresLuano
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesfine grained access rights according to SQL-standardsimple password-based access control and ACLno

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More resources
AgensGraphDgraphEsgynDBKeyDBSwayDB
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