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DBMS > LeanXcale vs. mSQL vs. ScyllaDB vs. TDengine

System Properties Comparison LeanXcale vs. mSQL vs. ScyllaDB vs. TDengine

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonScyllaDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesmSQL (Mini SQL) is a simple and lightweight RDBMSCassandra and DynamoDB compatible wide column storeTime Series DBMS and big data platform
Primary database modelKey-value store
Relational DBMS
Relational DBMSWide column storeTime Series DBMS
Secondary database modelsKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score5.27
Rank#67  Overall
#5  Wide column stores
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Websitewww.leanxcale.comhughestech.com.au/­products/­msqlwww.scylladb.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.scylladb.comdocs.tdengine.com
DeveloperLeanXcaleHughes TechnologiesScyllaDBTDEngine, previously Taos Data
Initial release2015199420152019
Current release4.4, October 2021ScyllaDB Open Source 5.4.1, January 20243.0, August 2022
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCC++C
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxLinux
Windows
Data schemeyesyesschema-freeyes
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 indexesyesyes infocluster global secondary indicesno
SQL infoSupport of SQLyes infothrough Apache DerbyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statements (CQL)Standard SQL with extensions for time-series applications
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
JDBC
RESTful HTTP API
Supported programming languagesC
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes, Luano
Triggersnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoin-memory tables
User concepts infoAccess controlnoAccess rights for users can be defined per objectyes
More information provided by the system vendor
LeanXcalemSQL infoMini SQLScyllaDBTDengine
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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LeanXcalemSQL infoMini SQLScyllaDBTDengine
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