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DBMS > GeoMesa vs. Riak KV vs. RisingWave vs. TDSQL for MySQL

System Properties Comparison GeoMesa vs. Riak KV vs. RisingWave vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonRiak KV  Xexclude from comparisonRisingWave  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed, fault tolerant key-value storeA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelSpatial DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitewww.geomesa.orgwww.risingwave.com/­databasewww.tencentcloud.com/­products/­dcdb
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.risingwave.com/­docs/­current/­introwww.tencentcloud.com/­document/­product/­1042
DeveloperCCRi and othersOpenSource, formerly Basho TechnologiesRisingWave LabsTencent
Initial release2014200920222013
Current release5.0.0, May 20243.2.0, December 20221.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaErlangRust
Server operating systemsLinux
OS X
Docker
Linux
macOS
hosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoStandard SQL-types and JSONyes
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 indexesyesrestrictedyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsHTTP API
Native Erlang Interface
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesC 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
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoErlangUDFs in Python or Javayes
Triggersnoyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infono "single point of failure"Automatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes, using Riak SecurityUsers and RolesUsers with fine-grained authorization concept

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More resources
GeoMesaRiak KVRisingWaveTDSQL for MySQL
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