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DBMS > GeoMesa vs. Hive vs. Ignite vs. Riak TS vs. UniData,UniVerse

System Properties Comparison GeoMesa vs. Hive vs. Ignite vs. Riak TS vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonRiak TS  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.data warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelSpatial DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.geomesa.orghive.apache.orgignite.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperCCRi and othersApache Software Foundation infoinitially developed by FacebookApache Software FoundationOpen Source, formerly Basho TechnologiesRocket Software
Initial release20142012201520151985
Current release4.0.5, February 20243.1.3, April 2022Apache Ignite 2.63.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2Open Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaC++, Java, .NetErlangC
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
OS X
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnooptional
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.noyesno
Secondary indexesyesyesyesrestrictedyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLyes, limitedyes
APIs and other access methodsJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Native Erlang Interface
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)Erlangyes
Triggersnonoyes (cache interceptors and events)yes infopre-commit hooks and post-commit hooksyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factoryes (replicated cache)selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID infoconfigurable
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 layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and rolesSecurity Hooks for custom implementationsnoAccess rights according to SQL-standard and operating system based

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More resources
GeoMesaHiveIgniteRiak TSUniData,UniVerse
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