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DBMS > MaxDB vs. Splice Machine vs. YTsaurus

System Properties Comparison MaxDB vs. Splice Machine vs. YTsaurus

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Editorial information provided by DB-Engines
NameMaxDB infoformerly named Adabas-D  Xexclude from comparisonSplice Machine  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionA robust and reliable RDBMS optimized to run all major SAP solutionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitemaxdb.sap.comsplicemachine.comytsaurus.tech
Technical documentationmaxdb.sap.com/­documentationsplicemachine.com/­how-it-worksytsaurus.tech/­docs/­en
DeveloperSAP, acquired from Software AG (Adabas-D) in 1997Splice MachineYandex
Initial release198420142023
Current release7.9.10.12, February 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Ubuntu
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes
SQL infoSupport of SQLyesyesYQL, an SQL-based language, is supported
APIs and other access methodsADO.NET
JDBC
ODBC
WebDAV
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C#
Java
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesyes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
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)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 controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess Control Lists

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More resources
MaxDB infoformerly named Adabas-DSplice MachineYTsaurus
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