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DBMS > Quasardb vs. Realm vs. Splice Machine

System Properties Comparison Quasardb vs. Realm vs. Splice Machine

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Score7.70
Rank#52  Overall
#9  Document stores
Score0.54
Rank#257  Overall
#118  Relational DBMS
Websitequasar.airealm.iosplicemachine.com
Technical documentationdoc.quasar.ai/­masterrealm.io/­docssplicemachine.com/­how-it-works
DeveloperquasardbRealm, acquired by MongoDB in May 2019Splice Machine
Initial release200920142014
Current release3.14.1, January 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsBSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyes
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.nono
Secondary indexesyes infowith tagsyesyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsHTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryyes infoJava
Triggersnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes infoIn-Memory realmyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesAccess rights for users, groups and roles according to SQL-standard

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More resources
QuasardbRealmSplice Machine
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