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DBMS > Amazon Neptune vs. KeyDB vs. OpenEdge vs. OrigoDB vs. Typesense

System Properties Comparison Amazon Neptune vs. KeyDB vs. OpenEdge vs. OrigoDB vs. Typesense

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonKeyDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparisonTypesense  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 protocolsApplication development environment with integrated database management systemA fully ACID in-memory object graph databaseA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSDocument store
Object oriented DBMS
Search engine
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
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websiteaws.amazon.com/­neptunegithub.com/­Snapchat/­KeyDB
keydb.dev
www.progress.com/­openedgeorigodb.comtypesense.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.keydb.devdocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docstypesense.org/­docs
DeveloperAmazonEQ Alpha Technology Ltd.Progress Software CorporationRobert Friberg et al
Initial release2017201919842009 infounder the name LiveDB2015
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3commercialOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#C++
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
Data schemeschema-freeschema-freeyesyesschema-free infopre-defined schema optional
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 indexesyesUser defined using .NET types and collectionsyes
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.nonoyesno infocan be achieved using .NET
Secondary indexesnoyes infoby using the Redis Search moduleyesyesyes
SQL infoSupport of SQLnonoyes infoclose to SQL 92nono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful 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
Progress proprietary ABL (Advanced Business Language).Net.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnoLuayesyesno
Triggersnonoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronized
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
Source-replica replicationSource-replica replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDACIDno
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 logsyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
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 ACLUsers and groupsRole based authorization

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More resources
Amazon NeptuneKeyDBOpenEdgeOrigoDBTypesense
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