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DBMS > Badger vs. OrigoDB vs. Warp 10 vs. YDB

System Properties Comparison Badger vs. OrigoDB vs. Warp 10 vs. YDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonOrigoDB  Xexclude from comparisonWarp 10  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A fully ACID in-memory object graph databaseTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeDocument store
Object oriented DBMS
Time Series DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerorigodb.comwww.warp10.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerorigodb.com/­docswww.warp10.io/­content/­02_Getting_startedydb.tech/­en/­docs
DeveloperDGraph LabsRobert Friberg et alSenXYandex
Initial release20172009 infounder the name LiveDB20152019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnononoSQL-like query language (YQL)
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP API
Jupyter
WebSocket
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo.NetGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesyes infoWarpScriptno
Triggersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on HBaseActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoRole based authorizationMandatory use of cryptographic tokens, containing fine-grained authorizationsAccess rights defined for Yandex Cloud users

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More resources
BadgerOrigoDBWarp 10YDB
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