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DBMS > GeoMesa vs. HugeGraph vs. Spark SQL vs. Trafodion

System Properties Comparison GeoMesa vs. HugeGraph vs. Spark SQL vs. Trafodion

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHugeGraph  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A fast-speed and highly-scalable Graph DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelSpatial DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.geomesa.orggithub.com/­hugegraph
hugegraph.apache.org
spark.apache.org/­sqltrafodion.apache.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperCCRi and othersBaiduApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2014201820142014
Current release5.0.0, May 20240.93.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaScalaC++, Java
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
Linux
Data schemeyesyesyesyes
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.nononono
Secondary indexesyesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparkyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.depending on storage layeryesnono
User concepts infoAccess controlyes infodepending on the DBMS used for storageUsers, roles and permissionsnofine grained access rights according to SQL-standard

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More resources
GeoMesaHugeGraphSpark SQLTrafodion
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