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DBMS > ArangoDB vs. Badger vs. ClickHouse vs. Datastax Enterprise vs. Microsoft Access

System Properties Comparison ArangoDB vs. Badger vs. ClickHouse vs. Datastax Enterprise vs. Microsoft Access

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonBadger  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionA multi-model DBMSAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Column-oriented Relational DBMS powering YandexDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Key-value storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.88
Rank#61  Overall
#12  Document stores
#4  Graph DBMS
#10  Key-value stores
#7  Search engines
Score0.06
Rank#313  Overall
#53  Key-value stores
Score3.20
Rank#81  Overall
#40  Relational DBMS
Score9.15
Rank#42  Overall
#4  Wide column stores
Score131.18
Rank#9  Overall
#6  Relational DBMS
Websitewww.arangodb.comgithub.com/­dgraph-io/­badgerclickhouse.yandexwww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­access
Technical documentationwww.arangodb.com/­documentationgodoc.org/­github.com/­dgraph-io/­badgerclickhouse.yandex/­docsdocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperArangoDB GmbH / triagens GmbHDGraph LabsYandex LLCDataStaxMicrosoft
Initial release20122017201620111992
Current release3.5.0, August 2019v19.13.3.26, August 20196.7, December 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache 2.0commercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaScriptGoJavaC++
Server operating systemsLinux
OS X
Raspbian
Solaris
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashnoyesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standard
APIs and other access methodsHTTP API
JSON style queries
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
DAO
OLE DB
ADO.NET
ODBC
Supported programming languagesC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
GoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresJavaScriptnonoyes infosince Access 2010 using the ACE-engine
Triggersnonoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0noneSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
noneTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesnoAccess rights for users can be defined per objectno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
ArangoDBBadgerClickHouseDatastax EnterpriseMicrosoft Access
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
News

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9 October 2019

ArangoML Pipeline – A Common Metadata Layer for Machine Learning Pipelines
25 September 2019

libgcc: When exceptions collide
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Multi-Model Database ArangoDB 3.5 released – Distributed Joins, Streaming Transactions, extended GraphDB & Search Capabilities
19 August 2019

Welcome Matt Ekstrom, CRO, and Jörg Schad, Head of Engineering & Machine Learning!
14 August 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ArangoDBBadgerClickHouseDatastax EnterpriseMicrosoft Access
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