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DBMS > Badger vs. Blueflood vs. Datomic vs. Kdb vs. Sadas Engine

System Properties Comparison Badger vs. Blueflood vs. Datomic vs. Kdb vs. Sadas Engine

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBlueflood  Xexclude from comparisonDatomic  Xexclude from comparisonKdb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable TimeSeries DBMS based on CassandraDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh performance Time Series DBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeTime Series DBMSRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerblueflood.iowww.datomic.comkx.comwww.sadasengine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­rax-maas/­blueflood/­wikidocs.datomic.comcode.kx.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperDGraph LabsRackspaceCognitectKx Systems, a division of First Derivatives plcSADAS s.r.l.
Initial release2017201320122000 infokdb was released 2000, kdb+ in 20032006
Current release1.0.6735, June 20233.6, May 20188.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infolimited edition freecommercial infofree 32-bit versioncommercial infofree trial version available
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 languageGoJavaJava, ClojureqC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
All OS with a Java VMLinux
OS X
Solaris
Windows
AIX
Linux
Windows
Data schemeschema-freepredefined schemeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyesno
Secondary indexesnonoyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnononoSQL-like query language (q)yes
APIs and other access methodsHTTP RESTRESTful HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
Proprietary protocol
Supported programming languagesGoClojure
Java
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsuser defined functionsno
TriggersnonoBy using transaction functionsyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandranone infoBut extensive use of caching in the application peershorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandranone infoBut extensive use of caching in the application peersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnononorights management via user accountsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
BadgerBluefloodDatomicKdbSadas Engine
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
BadgerBluefloodDatomicKdbSadas Engine
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