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DBMS > LeanXcale vs. Linter vs. SingleStore vs. SwayDB

System Properties Comparison LeanXcale vs. Linter vs. SingleStore vs. SwayDB

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonLinter  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesRDBMS for high security requirementsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#309  Overall
#41  Key-value stores
#140  Relational DBMS
Score0.13
Rank#351  Overall
#149  Relational DBMS
Score7.81
Rank#58  Overall
#34  Relational DBMS
Score0.00
Rank#376  Overall
#59  Key-value stores
Websitewww.leanxcale.comlinter.ru/­enwww.singlestore.comswaydb.io
Technical documentationdocs.singlestore.com
DeveloperLeanXcalerelex.ru/­enSingleStore Inc.Simer Plaha
Initial release2015199020132018
Current release7.6, November 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoGNU Affero GPL V3.0
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.
SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC and C++C++, GoScala
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux info64 bit version required
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infothrough Apache Derbyyesyes infobut no triggers and foreign keysno
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
Supported programming languagesC
Java
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Bash
C
C#
Java
JavaScript (Node.js)
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained access control via users, groups and rolesno
More information provided by the system vendor
LeanXcaleLinterSingleStore infoformer name was MemSQLSwayDB
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metrics15 beta testers
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more
F ree Tier and Enterprise Edition
» 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
LeanXcaleLinterSingleStore infoformer name was MemSQLSwayDB
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

show all

Conferences and events

How Nucleus Security Drove 4X Throughput with Distributed SQL
Webinar, 09:00AM PST, 8 December 2022

Recent citations in the news

MotherDuck raises $47.5M for open source DuckDB database
15 November 2022, TechTarget

Seattle data analytics startup MotherDuck emerges from stealth, reveals $47.5M in funding
15 November 2022, GeekWire

SingleStore raises $30M more to bring its database tech to new customers
4 October 2022, TechCrunch

SingleStore raises additional cash to grow its database business
12 July 2022, TechCrunch

Heard on the Street – 11/1/2022
1 November 2022, insideBIGDATA

provided by Google News

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