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DBMS > ObjectBox vs. Spark SQL vs. STSdb vs. Tarantool

System Properties Comparison ObjectBox vs. Spark SQL vs. STSdb vs. Tarantool

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelObject oriented DBMS
Vector DBMS
Relational DBMSKey-value storeDocument store
Key-value store
Relational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitegithub.com/­objectbox
objectbox.io
spark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.tarantool.io
Technical documentationdocs.objectbox.iospark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tarantool.io/­en/­doc
DeveloperObjectBox LimitedApache Software FoundationSTS Soft SCVK
Initial release2017201420112008
Current release4.0 (May 2024)3.5.0 ( 2.13), September 20234.0.8, September 20152.10.0, May 2022
License infoCommercial or Open SourceBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++ScalaC#C and C++
Server operating systemsAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
OS X
Windows
WindowsBSD
Linux
macOS
Data schemeyesyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyes, plus "flex" map-like typesyesyes infoprimitive types and user defined types (classes)string, double, decimal, uuid, integer, blob, boolean, datetime
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 indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoFull-featured ANSI SQL support
APIs and other access methodsProprietary native APIJDBC
ODBC
.NET Client APIOpen binary protocol
Supported programming languagesC
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Java
Python
R
Scala
C#
Java
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnononoLua, C and SQL stored procedures
Triggersnononoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CorenoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesData sync between devices allowing occasional connected databases to work completely offlinenonenoneAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlyesnonoAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
More information provided by the system vendor
ObjectBoxSpark SQLSTSdbTarantool
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More resources
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DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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