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DBMS > Amazon DocumentDB vs. Badger vs. Datomic vs. Kdb

System Properties Comparison Amazon DocumentDB vs. Badger vs. Datomic vs. Kdb

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBadger  Xexclude from comparisonDatomic  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn 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 durabilityHigh performance Time Series DBMS
Primary database modelDocument storeKey-value storeRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­dgraph-io/­badgerwww.datomic.comkx.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comcode.kx.com
DeveloperDGraph LabsCognitectKx Systems, a division of First Derivatives plc
Initial release2019201720122000 infokdb was released 2000, kdb+ in 2003
Current release1.0.6735, June 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infolimited edition freecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, Clojureq
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyesnoyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnononoSQL-like query language (q)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
GoClojure
Java
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsuser defined functions
TriggersnonoBy using transaction functionsyes infowith views
Partitioning methods infoMethods for storing different data on different nodesnonenonenone infoBut extensive use of caching in the application peershorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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
User concepts infoAccess controlAccess rights for users and rolesnonorights management via user accounts
More information provided by the system vendor
Amazon DocumentDBBadgerDatomicKdb
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...
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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
Amazon DocumentDBBadgerDatomicKdb
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