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DBMS > LeanXcale

LeanXcale System Properties

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Editorial information provided by DB-Engines
NameLeanXcale
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#265  Overall
#44  Key-value stores
#122  Relational DBMS
Websitewww.leanxcale.com
DeveloperLeanXcale
Initial release2015
License infoCommercial or Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Data schemeyes
SQL infoSupport of SQLyes infothrough Apache Derby
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
Java
Scala
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
More information provided by the system vendor
LeanXcale
Specific characteristics

Full ACID and full SQL operational database with analytical queries over operational data.

Provides also a relational key-value interface over the SQL tables that highly reduces the cost of simple operations like insertions, updates, scans with predicates and scans over secondary indexes with predicates.

Competitive advantages

Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).

Typical application scenarios

Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database and analytical queries on top of it.

Scenenarios with large continuous data ingestion (stock trading, M2M/IoT, social networks, ...) and analytical queries over the data.

Key customers

banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail

Market metrics

15 beta testers

Licensing and pricing models

annual fee covering license and support based on number of physical cores

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
LeanXcale
Recent citations in the news

Hunting For Disruption At Collision Conference
29 April 2016, Forbes

CWI Lectures on Database Research — CWI Amsterdam
19 November 2020, Centrum Wiskunde & Informatica (CWI)

Major Advancements in Big Data in the Automotive Industry: 2018 – 2030
17 September 2020, The Daily Chronicle

The Future Chief Data Officer 2018 Special Report
30 September 2020, Raconteur

Tailored IoT & BigData Sandboxes and Testbeds for Smart, Autonomous and Personalized Services in the European Finance and Insurance Services Ecosystem | INFINITECH Project | H2020 | CORDIS | European Commission
7 August 2020, ICT Results

provided by Google News




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