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DBMS > Splice Machine vs. StarRocks vs. YottaDB

System Properties Comparison Splice Machine vs. StarRocks vs. YottaDB

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonStarRocks  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#242  Overall
#114  Relational DBMS
Score1.08
Rank#174  Overall
#78  Relational DBMS
Score0.18
Rank#313  Overall
#46  Key-value stores
Websitesplicemachine.comwww.starrocks.ioyottadb.com
Technical documentationsplicemachine.com/­how-it-worksdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introyottadb.com/­resources/­documentation
DeveloperSplice MachineThe Linux Foundation infosince Feb 2023YottaDB, LLC
Initial release201420202001
Current release3.1, March 20213.3, June 2024
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC
Server operating systemsLinux
OS X
Solaris
Windows
LinuxDocker
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLyesyesby using the Octo plugin
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
JDBC
MySQL protocol
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoJavauser defined functions
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, 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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rightsUsers and groups based on OS-security mechanisms

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More resources
Splice MachineStarRocksYottaDB
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