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DBMS > Badger vs. Datomic vs. Manticore Search vs. Quasardb

System Properties Comparison Badger vs. Datomic vs. Manticore Search vs. Quasardb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonManticore Search  Xexclude from comparisonQuasardb  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 durabilityMulti-storage database for search, including full-text search.Distributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score0.23
Rank#317  Overall
#21  Search engines
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.commanticoresearch.comquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.commanual.manticoresearch.comdoc.quasar.ai/­master
DeveloperDGraph LabsCognitectManticore Softwarequasardb
Initial release2017201220172009
Current release1.0.6735, June 20236.0, February 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoGPL version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMFreeBSD
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or datenoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infointeger and binary
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.nonoCan index from XMLno
Secondary indexesnoyesyes infofull-text index on all search fieldsyes infowith tags
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Supported programming languagesGoClojure
Java
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsno
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersSynchronous replication based on Galera librarySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
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 infoThe original contents of fields are not stored in the Manticore index.yes infoby using LevelDB
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 infoTransient mode
User concepts infoAccess controlnononoCryptographically strong user authentication and audit trail

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More resources
BadgerDatomicManticore SearchQuasardb
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