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DBMS > Apache Drill vs. BigchainDB vs. FoundationDB vs. HugeGraph

System Properties Comparison Apache Drill vs. BigchainDB vs. FoundationDB vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBigchainDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHugeGraph  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsOrdered key-value store. Core features are complimented by layers.A fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store
Relational DBMS
Document storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitedrill.apache.orgwww.bigchaindb.comgithub.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdrill.apache.org/­docsbigchaindb.readthedocs.io/­en/­latestapple.github.io/­foundationdbhugegraph.apache.org/­docs
DeveloperApache Software FoundationFoundationDBBaidu
Initial release2012201620132018
Current release1.20.3, January 20236.2.28, November 20200.9
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++Java
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Linux
macOS
Unix
Data schemeschema-freeschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesnono infosome layers support typingyes
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 indexesnonoyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnosupported in specific SQL layer onlyno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC++Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Python
Server-side scripts infoStored proceduresuser defined functionsin SQL-layer onlyasynchronous Gremlin script jobs
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyEventual Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes
User concepts infoAccess controlDepending on the underlying data sourceyesnoUsers, roles and permissions

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More resources
Apache DrillBigchainDBFoundationDBHugeGraph
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