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DBMS > GeoMesa vs. Google Cloud Datastore vs. Hive vs. NuoDB vs. WakandaDB

System Properties Comparison GeoMesa vs. Google Cloud Datastore vs. Hive vs. NuoDB vs. WakandaDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHive  Xexclude from comparisonNuoDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platformdata warehouse software for querying and managing large distributed datasets, built on HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactionsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSpatial DBMSDocument storeRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.geomesa.orgcloud.google.com/­datastorehive.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasewakanda.github.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­datastore/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedoc.nuodb.comwakanda.github.io/­doc
DeveloperCCRi and othersGoogleApache Software Foundation infoinitially developed by FacebookDassault Systèmes infooriginally NuoDB, Inc.Wakanda SAS
Initial release20142008201220132012
Current release5.0.0, May 20243.1.3, April 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaC++C++, JavaScript
Server operating systemshostedAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)SQL-like DML and DDL statementsyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnousing Google App Engineyes infouser defined functions and integration of map-reduceJava, SQLyes
TriggersnoCallbacks using the Google Apps Enginenoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication using Paxosselectable replication factoryes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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 layernoyes infoTemporary tableno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesStandard SQL roles/ privileges, Administrative Usersyes

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More resources
GeoMesaGoogle Cloud DatastoreHiveNuoDBWakandaDB
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