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DBMS > BigObject vs. EsgynDB vs. FoundationDB vs. XTDB

System Properties Comparison BigObject vs. EsgynDB vs. FoundationDB vs. XTDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEsgynDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonXTDB infoformerly named Crux  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionAnalytic DBMS for real-time computations and queriesEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOrdered key-value store. Core features are complimented by layers.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitebigobject.iowww.esgyn.cngithub.com/­apple/­foundationdbgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.bigobject.ioapple.github.io/­foundationdbwww.xtdb.com/­docs
DeveloperBigObject, Inc.EsgynFoundationDBJuxt Ltd.
Initial release2015201520132019
Current release6.2.28, November 20201.19, September 2021
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++Clojure
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyes, extensible-data-notation format
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyessupported in specific SQL layer onlylimited SQL, making use of Apache Calcite
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Clojure
Java
Server-side scripts infoStored proceduresLuaJava Stored Proceduresin SQL-layer onlyno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyLinearizable consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
BigObjectEsgynDBFoundationDBXTDB infoformerly named Crux
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