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DBMS > Greenplum vs. HugeGraph vs. Splice Machine vs. TerarkDB

System Properties Comparison Greenplum vs. HugeGraph vs. Splice Machine vs. TerarkDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHugeGraph  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  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.A fast-speed and highly-scalable Graph DBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSGraph DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegreenplum.orggithub.com/­hugegraph
hugegraph.apache.org
splicemachine.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.greenplum.orghugegraph.apache.org/­docssplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperPivotal Software Inc.BaiduSplice MachineByteDance, originally Terark
Initial release2005201820142016
Current release7.0.0, September 20230.93.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxLinux
macOS
Unix
Linux
OS X
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 4.2nono
Secondary indexesyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
Native Spark Datasource
ODBC
C++ API
Java API
Supported programming languagesC
Java
Perl
Python
R
Groovy
Java
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsyes infoJavano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparkYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights for users, groups and roles according to SQL-standardno

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More resources
GreenplumHugeGraphSplice MachineTerarkDB
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