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DBMS > Amazon Neptune vs. dBASE vs. etcd vs. Geode vs. WakandaDB

System Properties Comparison Amazon Neptune vs. dBASE vs. etcd vs. Geode vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisondBASE  Xexclude from comparisonetcd  Xexclude from comparisonGeode  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the clouddBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.A distributed reliable key-value storeGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeKey-value storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteaws.amazon.com/­neptunewww.dbase.cometcd.io
github.com/­etcd-io/­etcd
geode.apache.orgwakanda.github.io
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.dbase.com/­support/­knowledgebaseetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
geode.apache.org/­docswakanda.github.io/­doc
DeveloperAmazonAsthon TateOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Wakanda SAS
Initial release2017197920022012
Current releasedBASE 2019, 20193.4, August 20191.1, February 20172.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoAGPLv3, extended commercial license available
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 languageGoJavaC++, JavaScript
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
FreeBSD
Linux
Windows infoexperimental
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesnoyesnono
SQL infoSupport of SQLnononoSQL-like query language (OQL)no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
none infoThe IDE can access other DBMS or ODBC-sources.gRPC
JSON over HTTP
Java Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
dBase proprietary IDE.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScript
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.nouser defined functionsyes
Triggersnonoyes, watching key changesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
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.noneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesnoAccess rights per client and object definableyes

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More resources
Amazon NeptunedBASEetcdGeodeWakandaDB
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