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DBMS > Altibase vs. DataFS vs. Realm vs. Tarantool

System Properties Comparison Altibase vs. DataFS vs. Realm vs. Tarantool

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDataFS  Xexclude from comparisonRealm  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSObject oriented DBMSDocument storeDocument store
Key-value store
Relational DBMS
Secondary database modelsGraph DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitealtibase.comnewdatabase.comrealm.iowww.tarantool.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdev.mobiland.com/­Overview.xsprealm.io/­docswww.tarantool.io/­en/­doc
DeveloperAltibaseMobiland AGRealm, acquired by MongoDB in May 2019VK
Initial release1999201820142008
Current releasev7.3, 2023, August 20231.1.263, October 20222.10.0, May 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen SourceOpen 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++C and C++
Server operating systemsAIX
HP-UX
Linux
WindowsAndroid
Backend: server-less
iOS
Windows
BSD
Linux
macOS
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesstring, 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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL-92nonoFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
Proprietary protocol
.NET Client API
Proprietary client DLL
WinRT client
Open binary protocol
Supported programming languagesC
C++
Java
.Net
C
C#
C++
VB.Net
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresstored procedures and stored functionsno inforuns within the applications so server-side scripts are unnecessaryLua, C and SQL stored procedures
Triggersyesno, except callback-events from server when changes happenedyes infoChange Listenersyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemnoneSharding, 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 nodesyesnoneAsynchronous 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.yesnoyes infoIn-Memory realmyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-ProfileyesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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AltibaseDataFSRealmTarantool
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