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DBMS > GeoMesa vs. KeyDB vs. NuoDB vs. Spark SQL vs. Transbase

System Properties Comparison GeoMesa vs. KeyDB vs. NuoDB vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonKeyDB  Xexclude from comparisonNuoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsNuoDB is a webscale distributed database that supports SQL and ACID transactionsSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSpatial DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.geomesa.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.3ds.com/­nuodb-distributed-sql-databasespark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.keydb.devdoc.nuodb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCCRi and othersEQ Alpha Technology Ltd.Dassault Systèmes infooriginally NuoDB, Inc.Apache Software FoundationTransaction Software GmbH
Initial release20142019201320141987
Current release5.0.0, May 20243.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD-3commercial infolimited edition freeOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++ScalaC and C++
Server operating systemsLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyesyes
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.nonononono
Secondary indexesyesyes infoby using the Redis Search moduleyesnoyes
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoLuaJava, SQLnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingdata is dynamically stored/cached on the nodes where it is read/writtenyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
yes infoManaged transparently by NuoDBnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACID infotunable commit protocolnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes infoTemporary tablenono
User concepts infoAccess controlyes infodepending on the DBMS used for storagesimple password-based access control and ACLStandard SQL roles/ privileges, Administrative Usersnofine grained access rights according to SQL-standard

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More resources
GeoMesaKeyDBNuoDBSpark SQLTransbase
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