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DBMS > searchxml vs. Splice Machine

System Properties Comparison searchxml vs. Splice Machine

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Editorial information provided by DB-Engines
Namesearchxml  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDBMS for structured and unstructured content wrapped with an application serverOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#356  Overall
#7  Native XML DBMS
#23  Search engines
Score0.77
Rank#200  Overall
#95  Relational DBMS
Websitewww.searchxml.net/­category/­productssplicemachine.com
Technical documentationwww.searchxml.net/­support/­handoutsdoc.splicemachine.com
Developerinformationpartners gmbhSplice Machine
Initial release20152014
Current release1.03.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license available
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 languageC++Java
Server operating systemsWindowsLinux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC++ infomost other programming languages supported via APIsC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoon the application serveryes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsMulti-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 systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlDomain, group and role-based access control at the document level and for application servicesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
searchxmlSplice Machine
News

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11 June 2021

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1 June 2021

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23 April 2021

How Optimizing MLOps Can Revolutionize Enterprise AI
15 April 2021

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More resources
searchxmlSplice Machine
Recent citations in the news

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

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22 June 2022, Analytics Insight

Global BiG Data Analysis Software Market 2022 by Top Players and Vendors: ,Rohde&Schwarz ,Qlucore ,Atlas.ti Scientific Software Development GmbH ,Xplenty ,Google Analytics ,Amazon Web Services ,Skytree Server ,Talend ,Splice Machine ,Apache
30 June 2022, Indian Defence News

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19 January 2021, PR Newswire

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13 May 2022, InfoQ.com

provided by Google News

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