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DBMS > Badger vs. Datomic vs. Quasardb vs. RocksDB vs. SQream DB

System Properties Comparison Badger vs. Datomic vs. Quasardb vs. RocksDB vs. SQream DB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonQuasardb  Xexclude from comparisonRocksDB  Xexclude from comparisonSQream DB  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 durabilityDistributed, high-performance timeseries databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value storeRelational DBMSTime Series DBMSKey-value storeRelational 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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comquasar.airocksdb.orgsqream.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comdoc.quasar.ai/­mastergithub.com/­facebook/­rocksdb/­wikidocs.sqream.com
DeveloperDGraph LabsCognitectquasardbFacebook, Inc.SQream Technologies
Initial release20172012200920132017
Current release1.0.7075, December 20233.14.1, January 20249.2.1, May 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureC++C++C++, CUDA, Haskell, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
LinuxLinux
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infointeger and binarynoyes, ANSI Standard SQL Types
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 infowith tagsnono
SQL infoSupport of SQLnonoSQL-like query languagenoyes
APIs and other access methodsRESTful HTTP APIHTTP APIC++ API
Java API
.Net
JDBC
ODBC
Supported programming languagesGoClojure
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnonouser defined functions in Python
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding infoconsistent hashinghorizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersSource-replica replication with selectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoby using LevelDByesyes
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 modeyes
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trailno

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Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

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More resources
BadgerDatomicQuasardbRocksDBSQream DB
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