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DBMS > ObjectBox vs. Sadas Engine vs. Spark SQL

System Properties Comparison ObjectBox vs. Sadas Engine vs. Spark SQL

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteobjectbox.iowww.sadasengine.comspark.apache.org/­sql
Technical documentationdocs.objectbox.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperObjectBox LimitedSADAS s.r.l.Apache Software Foundation
Initial release201720062014
Current release8.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++Scala
Server operating systemsAndroid
iOS
Linux
macOS
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsProprietary native APIJDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and servernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
ObjectBoxSadas EngineSpark SQL
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More resources
ObjectBoxSadas EngineSpark SQL
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