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DBMS > InterSystems IRIS vs. Tarantool vs. TiDB

System Properties Comparison InterSystems IRIS vs. Tarantool vs. TiDB

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Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonTarantool  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extensionDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#110  Overall
#20  Document stores
#17  Key-value stores
#1  Object oriented DBMS
#54  Relational DBMS
Score1.42
Rank#148  Overall
#26  Document stores
#24  Key-value stores
#66  Relational DBMS
Score3.58
Rank#73  Overall
#38  Relational DBMS
Websitewww.intersystems.com/­products/­intersystems-iriswww.tarantool.iopingcap.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.tarantool.io/­en/­docdocs.pingcap.com/­tidb/­stable
DeveloperInterSystemsVKPingCAP, Inc.
Initial release201820082016
Current release2023.3, June 20232.10.0, May 20228.2.0, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Go, Rust
Server operating systemsAIX
Linux
macOS
Ubuntu
Windows
BSD
Linux
macOS
Linux
Data schemedepending on used data modelFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyesstring, 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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesFull-featured ANSI SQL supportyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Open binary protocolGORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesLua, C and SQL stored proceduresno
Triggersyesyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.horizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith TiSpark Connector
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
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyes, write ahead loggingyes
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 persistenceno
User concepts infoAccess controlyesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Fine grained access rights according to SQL-standard

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More resources
InterSystems IRISTarantoolTiDB
DB-Engines blog posts

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

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Recent citations in the news

InterSystems TrakCare and InterSystems IRIS for Health to underpin deployment of fully unified future-ready AI-driven healthcare ecosystem at NEOM
24 July 2024, PR Newswire

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12 March 2024, Amazon Web Services (AWS)

Consultmed moving its e-referral software to InterSystems's IRIS for Health and more briefs
5 May 2024, MobiHealthNews

Epic to use InterSystems as data foundation for latest EHR release
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