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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonYanza  Xexclude from comparison
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.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.)Time Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSWide column storeRelational DBMSTime Series 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
#41  Relational DBMS
Score9.15
Rank#42  Overall
#4  Wide column stores
Score131.18
Rank#9  Overall
#6  Relational DBMS
Score0.00
Rank#343  Overall
#30  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerclickhouse.yandexwww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­accessyanza.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerclickhouse.yandex/­docsdocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperDGraph LabsYandex LLCDataStaxMicrosoftYanza
Initial release20172016201119922015
Current releasev19.13.3.26, August 20196.7, December 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercial infoBundled with Microsoft Officecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows infoNot a real database server, but making use of DLLsWindows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standardno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
DAO
OLE DB
ADO.NET
ODBC
HTTP API
Supported programming languagesGoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingnonenone
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
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
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 objectno infoa simple user-level security was built in till version Access 2003no
More information provided by the system vendor
BadgerClickHouseDatastax EnterpriseMicrosoft AccessYanza
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 EnterpriseMicrosoft AccessYanza
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