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DBMS > Amazon DocumentDB vs. Brytlyt vs. HBase vs. Kdb

System Properties Comparison Amazon DocumentDB vs. Brytlyt vs. HBase vs. Kdb

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonHBase  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWide-column store based on Apache Hadoop and on concepts of BigTableHigh performance Time Series DBMS
Primary database modelDocument storeRelational DBMSWide column storeTime 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
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websiteaws.amazon.com/­documentdbbrytlyt.iohbase.apache.orgkx.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.brytlyt.iohbase.apache.org/­book.htmlcode.kx.com
DeveloperBrytlytApache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plc
Initial release2019201620082000 infokdb was released 2000, kdb+ in 2003
Current release5.0, August 20232.3.4, January 20213.6, May 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2commercial 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 languageC, C++ and CUDAJavaq
Server operating systemshostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.noyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLnoyesnoSQL-like query language (q)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyes infoCoprocessors in Javauser defined functions
Triggersnoyesyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accounts
More information provided by the system vendor
Amazon DocumentDBBrytlytHBaseKdb
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
Amazon DocumentDBBrytlytHBaseKdb
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