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DBMS > EJDB vs. GeoMesa vs. Oracle NoSQL vs. PlanetScale vs. Splice Machine

System Properties Comparison EJDB vs. GeoMesa vs. Oracle NoSQL vs. PlanetScale vs. Splice Machine

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPlanetScale  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesScalable, distributed, serverless MySQL database platform built on top of VitessOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeSpatial DBMSDocument store
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.geomesa.orgwww.oracle.com/­database/­nosql/­technologies/­nosqlplanetscale.comsplicemachine.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlplanetscale.com/­docssplicemachine.com/­how-it-works
DeveloperSoftmotionsCCRi and othersOraclePlanetScaleSplice Machine
Initial release20122014201120202014
Current release4.0.5, February 202423.3, December 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache License 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaJavaGoJava
Server operating systemsserver-lessLinux
Solaris SPARC/x86
Docker
Linux
macOS
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesoptionalyesyes
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.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infowith proprietary extensionsyes
APIs and other access methodsin-process shared libraryRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnononoyes infoproprietary syntaxyes infoJava
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency infodepending on configuration
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoconfigurable infoACID within a storage node (=shard)ACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes infotable locks or row locks depending on storage engineyes, multi-version concurrency control (MVCC)
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 infooff heap cacheyesyes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
EJDBGeoMesaOracle NoSQLPlanetScaleSplice Machine
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