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DBMS > GeoMesa vs. GeoSpock vs. Greenplum vs. InfinityDB vs. Spark SQL

System Properties Comparison GeoMesa vs. GeoSpock vs. Greenplum vs. InfinityDB vs. Spark SQL

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonInfinityDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scaleAnalytic 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 Java embedded Key-Value Store which extends the Java Map interfaceSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSpatial DBMSRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.geomesa.orggeospock.comgreenplum.orgboilerbay.comspark.apache.org/­sql
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.greenplum.orgboilerbay.com/­infinitydb/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCCRi and othersGeoSpockPivotal Software Inc.Boiler Bay Inc.Apache Software Foundation
Initial release2014200520022014
Current release5.0.0, May 20242.0, September 20197.0.0, September 20234.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava, JavascriptJavaScala
Server operating systemshostedLinuxAll OS with a Java VMLinux
OS X
Windows
Data schemeyesyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonoyes infosince Version 4.2nono
Secondary indexesyestemporal, categoricalyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesnoSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
JavaJava
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerAutomatic shardingShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonoyesno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernononono
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per tablefine grained access rights according to SQL-standardnono

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More resources
GeoMesaGeoSpockGreenplumInfinityDBSpark SQL
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