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DBMS > EventStoreDB vs. JanusGraph vs. Oracle NoSQL vs. Oracle Rdb vs. Spark SQL

System Properties Comparison EventStoreDB vs. JanusGraph vs. Oracle NoSQL vs. Oracle Rdb vs. Spark SQL

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelEvent StoreGraph DBMSDocument store
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.eventstore.comjanusgraph.orgwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.oracle.com/­database/­technologies/­related/­rdb.htmlspark.apache.org/­sql
Technical documentationdevelopers.eventstore.comdocs.janusgraph.orgdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEvent Store LimitedLinux Foundation; originally developed as Titan by AureliusOracleOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release20122017201119842014
Current release21.2, February 20210.6.3, February 202323.3, December 20237.4.1.1, 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScala
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
Linux
Solaris SPARC/x86
HP Open VMSLinux
OS X
Windows
Data schemeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.Flexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like DML and DDL statements
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP APIJDBC
ODBC
Supported programming languagesClojure
Java
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginewith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurable infoACID within a storage node (=shard)yes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cachenono
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAccess rights for users and rolesno

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More resources
EventStoreDBJanusGraph infosuccessor of TitanOracle NoSQLOracle RdbSpark SQL
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