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DBMS > EJDB vs. Oracle NoSQL vs. PouchDB vs. Splice Machine

System Properties Comparison EJDB vs. Oracle NoSQL vs. PouchDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPouchDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesJavaScript DBMS with an API inspired by CouchDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeDocument store
Key-value store
Relational DBMS
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.oracle.com/­database/­nosql/­technologies/­nosqlpouchdb.comsplicemachine.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlpouchdb.com/­guidessplicemachine.com/­how-it-works
DeveloperSoftmotionsOracleApache Software FoundationSplice Machine
Initial release2012201120122014
Current release23.3, December 20237.1.1, June 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaScriptJava
Server operating systemsserver-lessLinux
Solaris SPARC/x86
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Data schemeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idoptionalnoyes
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 indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsin-process shared libraryRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
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
JavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoView functions in JavaScriptyes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungeShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurable infoACID within a storage node (=shard)noACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cacheyesyes
User concepts infoAccess controlnoAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
EJDBOracle NoSQLPouchDBSplice Machine
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