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DBMS > Splice Machine vs. XTDB

System Properties Comparison Splice Machine vs. XTDB

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#243  Overall
#114  Relational DBMS
Score0.20
Rank#314  Overall
#46  Document stores
Websitesplicemachine.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationsplicemachine.com/­how-it-workswww.xtdb.com/­docs
DeveloperSplice MachineJuxt Ltd.
Initial release20142019
Current release3.1, March 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaClojure
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes, extensible-data-notation format
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 indexesyesyes
SQL infoSupport of SQLyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
HTTP REST
JDBC
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresyes infoJavano
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standard

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More resources
Splice MachineXTDB infoformerly named Crux
Recent citations in the news

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, theregister.com

Splice Machine SQL Database Scales On Hadoop
22 September 2023, InformationWeek

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PR Newswire

Hadoop powers big data digital marketing platform
31 March 2015, cio.com

Trend-Setting Products in Data and Information Management for 2017
7 December 2016, Database Trends and Applications

provided by Google News



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