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DBMS > Amazon Neptune vs. KeyDB vs. Kingbase vs. Newts vs. Quasardb

System Properties Comparison Amazon Neptune vs. KeyDB vs. Kingbase vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKeyDB  Xexclude from comparisonKingbase  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­neptunegithub.com/­Snapchat/­KeyDB
keydb.dev
www.kingbase.com.cnopennms.github.io/­newtsquasar.ai
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.keydb.devgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperAmazonEQ Alpha Technology Ltd.BeiJing KINGBASE Information technologies inc.OpenNMS Groupquasardb
Initial release20172019199920142009
Current releaseV8.0, August 20213.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and JavaJavaC++
Server operating systemshostedLinuxLinux
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyesyes infointeger and binary
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.nonoyesnono
Secondary indexesnoyes infoby using the Redis Search moduleyesnoyes infowith tags
SQL infoSupport of SQLnonoStandard with numerous extensionsnoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP REST
Java API
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
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
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoLuauser defined functionsnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication
Source-replica replication
yesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple password-based access control and ACLfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail

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More resources
Amazon NeptuneKeyDBKingbaseNewtsQuasardb
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