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DBMS > Badger vs. Google Cloud Datastore vs. MaxDB vs. TDSQL for MySQL

System Properties Comparison Badger vs. Google Cloud Datastore vs. MaxDB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA robust and reliable RDBMS optimized to run all major SAP solutionsA 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 modelKey-value storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­datastoremaxdb.sap.comwww.tencentcloud.com/­products/­dcdb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­datastore/­docsmaxdb.sap.com/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperDGraph LabsGoogleSAP, acquired from Software AG (Adabas-D) in 1997Tencent
Initial release2017200819842013
Current release7.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
hosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes, 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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Supported programming languagesGo.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnousing Google App Engineyesyes
TriggersnoCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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 integritynoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
BadgerGoogle Cloud DatastoreMaxDB infoformerly named Adabas-DTDSQL for MySQL
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