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DBMS > LeanXcale vs. Tarantool

System Properties Comparison LeanXcale vs. Tarantool

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-memory database with an integrated application server
Primary database modelKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#279  Overall
#41  Key-value stores
#128  Relational DBMS
Score1.65
Rank#138  Overall
#25  Key-value stores
Websitewww.leanxcale.comwww.tarantool.io
Technical documentationwww.tarantool.io/­en/­doc
DeveloperLeanXcaleMail.ru Group
Initial release20152008
Current release2.4.2, July 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemsBSD
Linux
macOS
Data schemeyesschema-free, schema definition possible
Typing infopredefined data types such as float or datestring, double, decimal, uuid, integer, blob, boolean
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.no
Secondary indexesyes
SQL infoSupport of SQLyes infothrough Apache DerbyFull-featured ANSI SQL support
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Open binary protocol
Supported programming languagesC
Java
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresLua, C and SQL stored procedures
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesHash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, read commited
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyes, regular snapshots on disk, write ahead logging
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 controlAccess rights for users and roles
More information provided by the system vendor
LeanXcaleTarantool
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
LeanXcaleTarantool
DB-Engines blog posts

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

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