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DBMS > ObjectBox vs. Postgres-XL vs. Tarantool vs. WakandaDB

System Properties Comparison ObjectBox vs. Postgres-XL vs. Tarantool vs. WakandaDB

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTarantool  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelObject oriented DBMS
Vector DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Object oriented DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­objectbox
objectbox.io
www.postgres-xl.orgwww.tarantool.iowakanda.github.io
Technical documentationdocs.objectbox.iowww.postgres-xl.org/­documentationwww.tarantool.io/­en/­docwakanda.github.io/­doc
DeveloperObjectBox LimitedVKWakanda SAS
Initial release20172014 infosince 2012, originally named StormDB20082012
Current release4.0 (May 2024)10 R1, October 20182.10.0, May 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceBindings are released under Apache 2.0 infoApache License 2.0Open Source infoMozilla public licenseOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoAGPLv3, extended commercial license available
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++CC and C++C++, JavaScript
Server operating systemsAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
macOS
BSD
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyes, plus "flex" map-like typesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionFull-featured ANSI SQL supportno
APIs and other access methodsProprietary native APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Open binary protocolRESTful HTTP API
Supported programming languagesC
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsLua, C and SQL stored proceduresyes
Triggersnoyesyes, before/after data modification events, on replication events, client session eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesData sync between devices allowing occasional connected databases to work completely offlineAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes, write ahead loggingyes
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 persistenceno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
yes
More information provided by the system vendor
ObjectBoxPostgres-XLTarantoolWakandaDB
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More resources
ObjectBoxPostgres-XLTarantoolWakandaDB
DB-Engines blog posts

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

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