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DBMS > Amazon DocumentDB vs. BoltDB vs. HEAVY.AI vs. Splice Machine vs. SQLite

System Properties Comparison Amazon DocumentDB vs. BoltDB vs. HEAVY.AI vs. Splice Machine vs. SQLite

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBoltDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn embedded key-value store for Go.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWidely used embeddable, in-process RDBMS
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­boltdb/­boltgithub.com/­heavyai/­heavydb
www.heavy.ai
splicemachine.comwww.sqlite.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.heavy.aisplicemachine.com/­how-it-workswww.sqlite.org/­docs.html
DeveloperHEAVY.AI, Inc.Splice MachineDwayne Richard Hipp
Initial release20192013201620142000
Current release5.10, January 20223.1, March 20213.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDAJavaC
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
server-less
Data schemeschema-freeschema-freeyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesnoyesyesyes 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 SQLnonoyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Thrift
Vega
JDBC
Native Spark Datasource
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
GoAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
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 proceduresnononoyes infoJavano
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoRound robinShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneMulti-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoYes, via Full Spark Integrationno
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 possiblenonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
Amazon DocumentDBBoltDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Splice MachineSQLite
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