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DBMS > Graph Engine vs. LeanXcale vs. mSQL vs. ScyllaDB

System Properties Comparison Graph Engine vs. LeanXcale vs. mSQL vs. ScyllaDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonLeanXcale  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA 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 store
Primary database modelGraph DBMS
Key-value store
Key-value store
Relational DBMS
Relational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
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
Websitewww.graphengine.iowww.leanxcale.comhughestech.com.au/­products/­msqlwww.scylladb.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.scylladb.com
DeveloperMicrosoftLeanXcaleHughes TechnologiesScyllaDB
Initial release2010201519942015
Current release4.4, October 2021ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infofree licenses can be providedOpen Source infoOpen Source (AGPL), commercial license 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 language.NET and CCC++
Server operating systems.NETAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesyesyesschema-free
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 indices
SQL infoSupport of SQLnoyes infothrough Apache DerbyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP APIJDBC
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
Supported programming languagesC#
C++
F#
Visual Basic
C
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
Server-side scripts infoStored proceduresyesnoyes, Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoin-memory tables
User concepts infoAccess controlnoAccess rights for users can be defined per object
More information provided by the system vendor
Graph Engine infoformer name: TrinityLeanXcalemSQL infoMini SQLScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
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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
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Graph Engine infoformer name: TrinityLeanXcalemSQL infoMini SQLScyllaDB
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