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DBMS > LeanXcale vs. Linter vs. MaxDB vs. SingleStore

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

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonLinter  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesRDBMS for high security requirementsA robust and reliable RDBMS optimized to run all major SAP solutionsMySQL 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 type
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#318  Overall
#44  Key-value stores
#142  Relational DBMS
Score0.13
Rank#357  Overall
#150  Relational DBMS
Score3.43
Rank#99  Overall
#50  Relational DBMS
Score7.53
Rank#56  Overall
#33  Relational DBMS
Websitewww.leanxcale.comlinter.ru/­enmaxdb.sap.comwww.singlestore.com
Technical documentationmaxdb.sap.com/­documentationdocs.singlestore.com
DeveloperLeanXcalerelex.ru/­enSAP, acquired from Software AG (Adabas-D) in 1997SingleStore Inc.
Initial release2015199019842013
Current release7.9.10 (January 2020), 20207.6, November 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition freecommercial infofree developer edition available
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++C++, Go
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux info64 bit version required
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyesyesyes infobut no triggers and foreign keys
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)
ADO.NET
JDBC
ODBC
WebDAV
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
.Net
C#
Java
Perl
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLyesyes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
LeanXcaleLinterMaxDB infoformerly named Adabas-DSingleStore infoformer name was MemSQL
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
LeanXcaleLinterMaxDB infoformerly named Adabas-DSingleStore infoformer name was MemSQL
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) 

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Conferences and events

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

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