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DBMS > Linter vs. OpenMLDB vs. Tarantool vs. TerminusDB

System Properties Comparison Linter vs. OpenMLDB vs. Tarantool vs. TerminusDB

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTarantool  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionRDBMS for high security requirementsAn open-source machine learning database that provides a feature platform for training and inferenceIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Relational DBMS
Graph DBMS
Secondary database modelsSpatial DBMSRelational DBMSSpatial DBMS infowith Tarantool/GIS extensionDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitelinter.ruopenmldb.aiwww.tarantool.ioterminusdb.com
Technical documentationopenmldb.ai/­docs/­zh/­mainwww.tarantool.io/­en/­docterminusdb.github.io/­terminusdb/­#
Developerrelex.ru4 Paradigm Inc.VKDataChemist Ltd.
Initial release1990202020082018
Current release2024-2 February 20242.10.0, May 202211.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoGPL V3
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.
Implementation languageC and C++C++, Java, ScalaC and C++Prolog, Rust
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
LinuxBSD
Linux
macOS
Linux
Data schemeyesFixed schemaFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyesyesstring, 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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesFull-featured ANSI SQL supportSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
SQLAlchemy
Open binary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Go
Java
Python
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
JavaScript
Python
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLnoLua, C and SQL stored proceduresyes
Triggersyesnoyes, 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.Graph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, 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 infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardfine 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
Role-based access control

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More resources
LinterOpenMLDBTarantoolTerminusDB infoformer name was DataChemist
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Data processing speed and reliability: in-memory synchronous replication
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