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DBMS > Amazon Redshift vs. Faircom DB vs. ObjectBox vs. SQLite

System Properties Comparison Amazon Redshift vs. Faircom DB vs. ObjectBox vs. SQLite

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonObjectBox  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Extremely fast embedded database for small devices, IoT and MobileWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSKey-value store
Relational DBMS
Object oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.72
Rank#31  Overall
#18  Relational DBMS
Score0.43
Rank#240  Overall
#38  Key-value stores
#114  Relational DBMS
Score0.75
Rank#195  Overall
#9  Object oriented DBMS
Score123.17
Rank#9  Overall
#6  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.faircom.com/­products/­faircom-dbobjectbox.iowww.sqlite.org
Technical documentationdocs.aws.amazon.com/­redshiftlearn.faircomcorp.com/­developers/­documentation_directorydocs.objectbox.iowww.sqlite.org/­docs.html
DeveloperAmazon (based on PostgreSQL)FairCom CorporationObjectBox LimitedDwayne Richard Hipp
Initial release2012197920172000
Current releaseV12, November 20203.34.1, January 2021
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache License 2.0Open Source infoPublic Domain
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 languageCANSI C, C++C and C++C
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
iOS
Linux
macOS
Windows
server-less
Data schemeyesschema free, schema optional, schema required, partial schema,yesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes 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 indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyes, ANSI SQL with proprietary extensionsnoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Proprietary native APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
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 proceduresuser defined functions infoin Pythonyes info.Net, JavaScript, C/C++nono
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).online/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained access rights according to SQL-standard with additional protections for filesyesno
More information provided by the system vendor
Amazon RedshiftFaircom DB infoformerly c-treeACEObjectBoxSQLite
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more
Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more
Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more
Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» more
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