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DBMS > CrateDB vs. ObjectBox vs. SQLite vs. SQream DB

System Properties Comparison CrateDB vs. ObjectBox vs. SQLite vs. SQream DB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSQLite  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionDistributed Database based on LuceneExtremely fast embedded database for small devices, IoT and MobileWidely used embeddable, in-process RDBMSa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Object oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Score116.01
Rank#10  Overall
#7  Relational DBMS
Score0.73
Rank#228  Overall
#105  Relational DBMS
Websitecratedb.comobjectbox.iowww.sqlite.orgsqream.com
Technical documentationcratedb.com/­docsdocs.objectbox.iowww.sqlite.org/­docs.htmldocs.sqream.com
DeveloperCrateObjectBox LimitedDwayne Richard HippSQream Technologies
Initial release2013201720002017
Current release3.45.2  (12 March 2024), March 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache License 2.0Open Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaC and C++CC++, CUDA, Haskell, Java, Scala
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAndroid
iOS
Linux
macOS
Windows
server-lessLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes, ANSI Standard SQL Types
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes infoSQL-92 is not fully supportedyes
APIs and other access methodsADO.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
.Net
JDBC
ODBC
Supported programming languages.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
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)nonouser defined functions in Python
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelonline/offline synchronization between client and servernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
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.nonoyes
User concepts infoAccess controlrights management via user accountsyesno
More information provided by the system vendor
CrateDBObjectBoxSQLiteSQream DB
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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Recent citations in the news

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