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DBMS > Badger vs. Datomic vs. OrigoDB vs. RisingWave

System Properties Comparison Badger vs. Datomic vs. OrigoDB vs. RisingWave

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonOrigoDB  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fully ACID in-memory object graph databaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comorigodb.comwww.risingwave.com/­database
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comorigodb.com/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperDGraph LabsCognitectRobert Friberg et alRisingWave Labs
Initial release201720122009 infounder the name LiveDB2022
Current release1.0.7075, December 20231.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freeOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureC#Rust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collectionsStandard SQL-types and JSON
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 infocan be achieved using .NETno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP API
LINQ
JDBC
PostgreSQL wire protocol
Supported programming languagesGoClojure
Java
.NetGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsyesUDFs in Python or Java
TriggersnoBy using transaction functionsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnonoRole based authorizationUsers and Roles

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More resources
BadgerDatomicOrigoDBRisingWave
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