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DBMS > DataFS vs. Datomic vs. EsgynDB vs. Newts vs. YDB

System Properties Comparison DataFS vs. Datomic vs. EsgynDB vs. Newts vs. YDB

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonNewts  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionTime Series DBMS based on CassandraA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSTime Series DBMSDocument store
Relational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitenewdatabase.comwww.datomic.comwww.esgyn.cnopennms.github.io/­newtsgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdev.mobiland.com/­Overview.xspdocs.datomic.comgithub.com/­OpenNMS/­newts/­wikiydb.tech/­en/­docs
DeveloperMobiland AGCognitectEsgynOpenNMS GroupYandex
Initial release20182012201520142019
Current release1.1.263, October 20221.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, JavaJava
Server operating systemsWindowsAll OS with a Java VMLinuxLinux
OS X
Windows
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyesyesnoyes
SQL infoSupport of SQLnonoyesnoSQL-like query language (YQL)
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIADO.NET
JDBC
ODBC
HTTP REST
Java API
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C#
C++
VB.Net
Clojure
Java
All languages supporting JDBC/ODBC/ADO.NetJavaGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Proceduresnono
Triggersno, except callback-events from server when changes happenedBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peersShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersselectable replication factor infobased on CassandraActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnonono
User concepts infoAccess controlWindows-Profilenofine grained access rights according to SQL-standardnoAccess rights defined for Yandex Cloud users

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More resources
DataFSDatomicEsgynDBNewtsYDB
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