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DBMS > Greenplum vs. MarkLogic vs. SpaceTime vs. Splice Machine

System Properties Comparison Greenplum vs. MarkLogic vs. SpaceTime vs. Splice Machine

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMarkLogic  Xexclude from comparisonSpaceTime  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Operational and transactional Enterprise NoSQL databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Spatial DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitegreenplum.orgwww.progress.com/­marklogicwww.mireo.com/­spacetimesplicemachine.com
Technical documentationdocs.greenplum.orgwww.progress.com/­marklogic/­documentationsplicemachine.com/­how-it-works
DeveloperPivotal Software Inc.MarkLogic Corp.MireoSplice Machine
Initial release2005200120202014
Current release7.0.0, September 202311.0, December 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosince Version 4.2yesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infoSQL92A subset of ANSI SQL is implementedyes
APIs and other access methodsJDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScriptnoyes infoJava
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingFixed-grid hypercubesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsyesAccess rights for users, groups and roles according to SQL-standard

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More resources
GreenplumMarkLogicSpaceTimeSplice Machine
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024 (finished)

Recent citations in the news

Chapter 1. Introducing the Greenplum Database
6 December 2018, O'Reilly Media

VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale
9 September 2019, AWS Blog

Greenplum 6 ventures outside the analytic box
19 March 2019, ZDNet

EMC and Greenplum Dress Elephant for IT Parade
8 December 2011, WIRED

EMC Introduces Breakthrough 'Big Data' Computing System
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Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
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Monte Zweben's Splice Machine Introduces New Hadoop RDBMS
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Splice Machine Launches Feature Store to Simplify Feature Engineering
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