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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Access  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.
DescriptionAn 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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 modelKey-value storeRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Websitegithub.com/­dgraph-io/­badgerclickhouse.yandexwww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­access
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerclickhouse.yandex/­docsdocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperDGraph LabsYandex LLCDataStaxDrizzle project, originally started by Brian AkerMicrosoft
Initial release20172016201120081992
Current releasev19.13.3.26, August 20196.7, December 20187.2.4, September 20121902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoGNU GPLcommercial 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 languageGoJavaC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
FreeBSD
Linux
OS X
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyes infowith proprietary extensionsyes infobut not compliant to any SQL standard
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBCDAO
OLE DB
ADO.NET
ODBC
Supported programming languagesGoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PHP
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engine
Triggersnoyesno infohooks for callbacks inside the server can be used.yes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDACID 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 controlnoAccess rights for users can be defined per objectPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
BadgerClickHouseDatastax EnterpriseDrizzleMicrosoft 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

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More resources
BadgerClickHouseDatastax EnterpriseDrizzleMicrosoft Access
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