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DBMS > Hyprcubd vs. Splice Machine vs. Transwarp StellarDB

System Properties Comparison Hyprcubd vs. Splice Machine vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA distributed graph DBMS built for enterprise-level graph applications
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitehyprcubd.com (offline)splicemachine.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationsplicemachine.com/­how-it-works
DeveloperHyprcubd, Inc.Splice MachineTranswarp
Initial release2014
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemshostedLinux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language
APIs and other access methodsgRPC (https)JDBC
Native Spark Datasource
ODBC
OpenCypher
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datanoyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controltoken accessAccess rights for users, groups and roles according to SQL-standardyes

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More resources
HyprcubdSplice MachineTranswarp StellarDB
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