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DBMS > Blueflood vs. mSQL vs. ScyllaDB vs. Splice Machine

System Properties Comparison Blueflood vs. mSQL vs. ScyllaDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonScyllaDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandramSQL (Mini SQL) is a simple and lightweight RDBMSCassandra and DynamoDB compatible wide column storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteblueflood.iohughestech.com.au/­products/­msqlwww.scylladb.comsplicemachine.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.scylladb.comsplicemachine.com/­how-it-works
DeveloperRackspaceHughes TechnologiesScyllaDBSplice Machine
Initial release2013199420152014
Current release4.4, October 2021ScyllaDB Open Source 5.4.1, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoAGPL 3.0, 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 languageJavaCC++Java
Server operating systemsLinux
OS X
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemepredefined schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsHTTP RESTJDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
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++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes, Luayes infoJava
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes, multi-version concurrency control (MVCC)
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.nonoyes infoin-memory tablesyes
User concepts infoAccess controlnonoAccess rights for users can be defined per objectAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
BluefloodmSQL infoMini SQLScyllaDBSplice Machine
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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BluefloodmSQL infoMini SQLScyllaDBSplice Machine
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