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DBMS > Dgraph vs. Faircom EDGE vs. Hyprcubd vs. NuoDB vs. Sqrrl

System Properties Comparison Dgraph vs. Faircom EDGE vs. Hyprcubd vs. NuoDB vs. Sqrrl

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHyprcubd  Xexclude from comparisonNuoDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionDistributed and scalable native Graph DBMSFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsServerless Time Series DBMSNuoDB is a webscale distributed database that supports SQL and ACID transactionsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitedgraph.iowww.faircom.com/­products/­faircom-edgehyprcubd.com (offline)www.3ds.com/­nuodb-distributed-sql-databasesqrrl.com
Technical documentationdgraph.io/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldoc.nuodb.com
DeveloperDgraph Labs, Inc.FairCom CorporationHyprcubd, Inc.Dassault Systèmes infooriginally NuoDB, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2016197920132012
Current releaseV3, October 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availablecommercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoANSI C, C++GoC++Java
Server operating systemsLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
hostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes infotime, int, uint, float, stringyesyes
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.noyesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesSQL-like query languageyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC (https)ADO.NET
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++noJava, SQLno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesFile partitioning infoCustomizable business rules for partitioningdata is dynamically stored/cached on the nodes where it is read/writtenSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoManaged transparently by NuoDBselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infotunable commit protocolAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLnoyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTemporary table
User concepts infoAccess controlno infoPlanned for future releasesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.token accessStandard SQL roles/ privileges, Administrative UsersCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DgraphFaircom EDGE infoformerly c-treeEDGEHyprcubdNuoDBSqrrl
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