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DBMS > Amazon DocumentDB vs. ArangoDB vs. Google Cloud Datastore vs. Kdb vs. TDSQL for MySQL

System Properties Comparison Amazon DocumentDB vs. ArangoDB vs. Google Cloud Datastore vs. Kdb vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonArangoDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKdb  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHigh performance Time Series DBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Search engine
Document storeTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score4.47
Rank#76  Overall
#12  Document stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­documentdbarangodb.comcloud.google.com/­datastorekx.comwww.tencentcloud.com/­products/­dcdb
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.arangodb.comcloud.google.com/­datastore/­docscode.kx.comwww.tencentcloud.com/­document/­product/­1042
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.GoogleKx Systems, a division of First Derivatives plcTencent
Initial release2019201220082000 infokdb was released 2000, kdb+ in 20032013
Current release3.11.5, November 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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++q
Server operating systemshostedLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-free infoautomatically recognizes schema within a collectionschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes, details hereyesyes
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
Secondary indexesyesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoSQL-like query language (GQL)SQL-like query language (q)yes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptusing Google App Engineuser defined functionsyes
TriggersnonoCallbacks using the Google Apps Engineyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infosince version 2.0Shardinghorizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication with configurable replication factorMulti-source replication using PaxosSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no infocan be done with stored procedures in JavaScriptyes infousing Google Cloud Dataflowno infosimilar paradigm used for internal processingno
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 or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes inforelationships in graphsyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 rolesyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsUsers with fine-grained authorization concept
More information provided by the system vendor
Amazon DocumentDBArangoDBGoogle Cloud DatastoreKdbTDSQL for MySQL
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» 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
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
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» 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
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
upon request
» more

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More resources
Amazon DocumentDBArangoDBGoogle Cloud DatastoreKdbTDSQL for MySQL
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