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DBMS > Datastax Enterprise vs. Datomic vs. EsgynDB vs. FoundationDB

System Properties Comparison Datastax Enterprise vs. Datomic vs. EsgynDB vs. FoundationDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonFoundationDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.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 TrafodionOrdered key-value store. Core features are complimented by layers.
Primary database modelWide column storeRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.99
Rank#51  Overall
#4  Wide column stores
Score1.96
Rank#117  Overall
#57  Relational DBMS
Score0.25
Rank#273  Overall
#125  Relational DBMS
Score1.07
Rank#165  Overall
#27  Document stores
#28  Key-value stores
#82  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.datomic.comesgyn.comwww.foundationdb.org
Technical documentationdocs.datastax.comdocs.datomic.comesgyn.com/­developersapple.github.io/­foundationdb
DeveloperDataStaxCognitectEsgynFoundationDB
Initial release2011201220152013
Current release6.8, April 20200.9.5951, July 20196.2.28, November 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++, JavaC++
Server operating systemsLinux
OS X
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeschema-freeyesyesschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesyesno infosome layers support typing
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyessupported in specific SQL layer only
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsJava Stored Proceduresin SQL-layer only
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"none infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate ConsistencyLinearizable consistency
Foreign keys infoReferential integritynonoyesin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights for users can be defined per objectnofine grained access rights according to SQL-standardno
More information provided by the system vendor
Datastax EnterpriseDatomicEsgynDBFoundationDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Datastax EnterpriseDatomicEsgynDBFoundationDB
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