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DBMS > Apache Drill vs. Dolt vs. Faircom EDGE vs. HugeGraph

System Properties Comparison Apache Drill vs. Dolt vs. Faircom EDGE vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDolt  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA MySQL compatible DBMS with Git-like versioning of data and schemaFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitedrill.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
www.faircom.com/­products/­faircom-edgegithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdrill.apache.org/­docsdocs.dolthub.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhugegraph.apache.org/­docs
DeveloperApache Software FoundationDoltHub IncFairCom CorporationBaidu
Initial release2012201819792018
Current release1.20.3, January 2023V3, October 20200.9
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infoRestricted, free version availableOpen 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 languageGoANSI C, C++Java
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Unix
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.nonoyesno
Secondary indexesnoyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesyes infoANSI SQL queriesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
HTTP REST
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC++Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Groovy
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyes infocurrently in alpha releaseyes info.Net, JavaScript, C/C++asynchronous Gremlin script jobs
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneFile partitioning infoCustomizable business rules for partitioningyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes infoSynchronous and asynchronous realtime replication based on transaction logsyes 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 systemnoneImmediate Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesyes infowhen using SQLyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes
User concepts infoAccess controlDepending on the underlying data sourceOnly one user is configurable, and must be specified in the config file at startupFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users, roles and permissions

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More resources
Apache DrillDoltFaircom EDGE infoformerly c-treeEDGEHugeGraph
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