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DBMS > Amazon Neptune vs. ArangoDB vs. GridDB vs. Kdb

System Properties Comparison Amazon Neptune vs. ArangoDB vs. GridDB vs. Kdb

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonArangoDB  Xexclude from comparisonGridDB  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Scalable in-memory time series database optimized for IoT and Big DataHigh performance Time Series DBMS
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Search engine
Time Series DBMSTime Series DBMS
Vector DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational 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
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websiteaws.amazon.com/­neptunearangodb.comgriddb.netkx.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.arangodb.comdocs.griddb.netcode.kx.com
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperAmazonArangoDB Inc.Toshiba CorporationKx Systems, a division of First Derivatives plc
Initial release2017201220132000 infokdb was released 2000, kdb+ in 2003
Current release3.11.5, November 20235.1, August 20223.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++C++q
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nonoyes
Secondary indexesnoyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (q)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoJavaScriptnouser defined functions
Triggersnonoyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infosince version 2.0Shardinghorizontal partitioning
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.Source-replica replication with configurable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users can be defined per databaserights management via user accounts
More information provided by the system vendor
Amazon NeptuneArangoDBGridDBKdb
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
GitHub trending repository
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
upon request
» more

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More resources
Amazon NeptuneArangoDBGridDBKdb
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The Weight of Relational Databases: Time for Multi-Model?
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