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DBMS > Badger vs. Datastax Enterprise vs. Google Cloud Spanner vs. Microsoft Access

System Properties Comparison Badger vs. Datastax Enterprise vs. Google Cloud Spanner vs. Microsoft Access

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DataStax 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.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.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 storeWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#280  Overall
#48  Key-value stores
Score8.51
Rank#48  Overall
#4  Wide column stores
Score2.78
Rank#104  Overall
#50  Relational DBMS
Score118.45
Rank#11  Overall
#7  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datastax.com/­products/­datastax-enterprisecloud.google.com/­spannerwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datastax.comcloud.google.com/­spanner/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperDGraph LabsDataStaxGoogleMicrosoft
Initial release2017201120171992
Current release6.8, April 20201902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonoyesno
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
hostedWindows 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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyes infoQuery statements complying to ANSI 2011yes infobut not compliant to any SQL standard
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engine
Triggersnoyesnoyes 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 computingMulti-source replication with 3 replicas for regional instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID infoStrict serializable isolationACID 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.noyesno
User concepts infoAccess controlnoAccess rights for users can be defined per objectAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
BadgerDatastax EnterpriseGoogle Cloud SpannerMicrosoft Access
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» 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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BadgerDatastax EnterpriseGoogle Cloud SpannerMicrosoft Access
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