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DBMS > Datastax Enterprise vs. EsgynDB vs. FoundationDB

System Properties Comparison Datastax Enterprise vs. EsgynDB vs. FoundationDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOrdered key-value store. Core features are complimented by layers.
Primary database modelWide column storeRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.04
Rank#46  Overall
#4  Wide column stores
Score0.26
Rank#265  Overall
#122  Relational DBMS
Score1.07
Rank#164  Overall
#27  Document stores
#29  Key-value stores
#82  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseesgyn.comwww.foundationdb.org
Technical documentationdocs.datastax.comesgyn.com/­developersapple.github.io/­foundationdb
DeveloperDataStaxEsgynFoundationDB
Initial release201120152013
Current release6.8, April 20206.2.28, November 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaC++
Server operating systemsLinux
OS X
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesno 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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyessupported in specific SQL layer only
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresnoJava Stored Proceduresin SQL-layer only
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyLinearizable consistency
Foreign keys infoReferential integritynoyesin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardno
More information provided by the system vendor
Datastax EnterpriseEsgynDBFoundationDB
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...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
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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More resources
Datastax EnterpriseEsgynDBFoundationDB
Recent citations in the news

DataStax Enterprise 6.8 Advances Cloud-Native Data and Bare-Metal Performance
7 April 2020, Business Wire

DataStax Enterprise 6.8: Advanced cloud-native data and bare-metal performance
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DataStax Unveils Vector: AIOps for Apache Cassandra
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FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project
19 April 2018, GeekWire

Apple’s FoundationDB open sources the database layer behind CloudKit
14 January 2019, 9to5Mac

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

FoundationDB's Record Layer Supports Relational Database Semantics, Schema Management and Indexing
10 February 2019, InfoQ.com

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20 November 2020, SiliconANGLE News

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