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DBMS > Badger vs. Google Cloud Spanner vs. HugeGraph vs. Memcached vs. ToroDB

System Properties Comparison Badger vs. Google Cloud Spanner vs. HugeGraph vs. Memcached vs. ToroDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHugeGraph  Xexclude from comparisonMemcached  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.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.A fast-speed and highly-scalable Graph DBMSIn-memory key-value store, originally intended for cachingA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeRelational DBMSGraph DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­spannergithub.com/­hugegraph
hugegraph.apache.org
www.memcached.orggithub.com/­torodb/­server
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­spanner/­docshugegraph.apache.org/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperDGraph LabsGoogleBaiduDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal8Kdata
Initial release20172017201820032016
Current release0.91.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaCJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Unix
FreeBSD
Linux
OS X
Unix
Windows
All OS with a Java 7 VM
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnoyes infostring, integer, double, boolean, date, object_id
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 indexesnoyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011nono
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol
Supported programming languagesGoGo
Java
JavaScript (Node.js)
Python
Groovy
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.yes infodepending on used storage backend, e.g. Cassandra and HBasenone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and roles

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More resources
BadgerGoogle Cloud SpannerHugeGraphMemcachedToroDB
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