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DBMS > Amazon Redshift vs. CrateDB vs. ObjectBox vs. SQLite

System Properties Comparison Amazon Redshift vs. CrateDB vs. ObjectBox vs. SQLite

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCrateDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDistributed Database based on LuceneExtremely fast embedded database for small devices, IoT and MobileWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Object oriented DBMSRelational DBMS
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­redshiftcratedb.comobjectbox.iowww.sqlite.org
Technical documentationdocs.aws.amazon.com/­redshiftcratedb.com/­docsdocs.objectbox.iowww.sqlite.org/­docs.html
DeveloperAmazon (based on PostgreSQL)CrateObjectBox LimitedDwayne Richard Hipp
Initial release2012201320172000
Current release3.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen 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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageCJavaC and C++C
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAndroid
iOS
Linux
macOS
Windows
server-less
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes 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, but no triggers and constraints, and PostgreSQL compatibilitynoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Proprietary native APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages supporting JDBC/ODBC.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
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 Pythonuser defined functions (Javascript)nono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable replication on table/partition-levelonline/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
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
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.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsyesno
More information provided by the system vendor
Amazon RedshiftCrateDBObjectBoxSQLite
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
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More resources
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