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DBMS > Amazon DocumentDB vs. Hyprcubd vs. LevelDB vs. Netezza vs. SQLite

System Properties Comparison Amazon DocumentDB vs. Hyprcubd vs. LevelDB vs. Netezza vs. SQLite

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQLite  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceServerless Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesData warehouse and analytics appliance part of IBM PureSystemsWidely used embeddable, in-process RDBMS
Primary database modelDocument storeTime Series DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­documentdbhyprcubd.com (offline)github.com/­google/­leveldbwww.ibm.com/­products/­netezzawww.sqlite.org
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sqlite.org/­docs.html
DeveloperHyprcubd, Inc.GoogleIBMDwayne Richard Hipp
Initial release2019201120002000
Current release1.23, February 20213.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C
Server operating systemshostedhostedIllumos
Linux
OS X
Windows
Linux infoincluded in applianceserver-less
Data schemeschema-freeyesschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringnoyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesnonoyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyesyes infoSQL-92 is not fully supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (https)JDBC
ODBC
OLE DB
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnononoyesno
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolestoken accessnoUsers with fine-grained authorization conceptno

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More resources
Amazon DocumentDBHyprcubdLevelDBNetezza infoAlso called PureData System for Analytics by IBMSQLite
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