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DBMS > ITTIA vs. Linter vs. mSQL vs. RDFox vs. ScyllaDB

System Properties Comparison ITTIA vs. Linter vs. mSQL vs. RDFox vs. ScyllaDB

Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonLinter  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRDFox  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingRDBMS for high security requirementsmSQL (Mini SQL) is a simple and lightweight RDBMSHigh performance knowledge graph and semantic reasoning engineCassandra and DynamoDB compatible wide column store
Primary database modelTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
Wide column store
Secondary database modelsRelational DBMSSpatial DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitewww.ittia.comlinter.ruhughestech.com.au/­products/­msqlwww.oxfordsemantic.techwww.scylladb.com
Technical documentationdocs.oxfordsemantic.techdocs.scylladb.com
DeveloperITTIA L.L.C.relex.ruHughes TechnologiesOxford Semantic TechnologiesScyllaDB
Initial release20071990199420172015
Current release8.74.4, October 20216.0, Septermber 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC and C++C and C++CC++C++
Server operating systemsLinux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Windows
Linux
Data schemeFixed schemayesyesyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyesyesyes
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.nononono
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C++
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
C
Java
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 proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQLnoyes, Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnonereplication via a shared file systemselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoin-memory tables
User concepts infoAccess controlDatabase file passwordsfine grained access rights according to SQL-standardnoRoles, resources, and access typesAccess rights for users can be defined per object
More information provided by the system vendor
ITTIALintermSQL infoMini SQLRDFoxScyllaDB
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...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» 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
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» 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
ITTIALintermSQL infoMini SQLRDFoxScyllaDB
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