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DBMS > Amazon Neptune vs. Drizzle vs. Geode vs. KeyDB vs. Kinetica

System Properties Comparison Amazon Neptune vs. Drizzle vs. Geode vs. KeyDB vs. Kinetica

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDrizzle  Xexclude from comparisonGeode  Xexclude from comparisonKeyDB  Xexclude from comparisonKinetica  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsFully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websiteaws.amazon.com/­neptunegeode.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.kinetica.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgeode.apache.org/­docsdocs.keydb.devdocs.kinetica.com
DeveloperAmazonDrizzle project, originally started by Brian AkerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.EQ Alpha Technology Ltd.Kinetica
Initial release20172008200220192012
Current release7.2.4, September 20121.1, February 20177.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C, C++
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
Data schemeschema-freeyesschema-freeschema-freeyes
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 indexesyes
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 indexesnoyesnoyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query language (OQL)noSQL-like DML and DDL statements
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCJava Client API
Memcached protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
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
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionsLuauser defined functions
Triggersnono infohooks for callbacks inside the server can be used.yes infoCache Event Listenersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding
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
Multi-source replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes 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.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights per client and object definablesimple password-based access control and ACLAccess rights for users and roles on table level

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More resources
Amazon NeptuneDrizzleGeodeKeyDBKinetica
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