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DBMS > Badger vs. Datomic vs. Lovefield vs. OpenMLDB

System Properties Comparison Badger vs. Datomic vs. Lovefield vs. OpenMLDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonLovefield  Xexclude from comparisonOpenMLDB  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 durabilityEmbeddable relational database for web apps written in pure JavaScriptAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comgoogle.github.io/­lovefieldopenmldb.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdopenmldb.ai/­docs/­zh/­main
DeveloperDGraph LabsCognitectGoogle4 Paradigm Inc.
Initial release2017201220142020
Current release1.0.7180, July 20242.1.12, February 20172024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureJavaScriptC++, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeschema-freeyesyesFixed schema
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsRESTful HTTP APIJDBC
SQLAlchemy
Supported programming languagesGoClojure
Java
JavaScriptC++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnono
TriggersnoBy using transaction functionsUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
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 developmentyes infousing MemoryDByes
User concepts infoAccess controlnononofine grained access rights according to SQL-standard

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BadgerDatomicLovefieldOpenMLDB
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