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DBMS > AgensGraph vs. FatDB vs. Linter vs. ScyllaDB

System Properties Comparison AgensGraph vs. FatDB vs. Linter vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFatDB  Xexclude from comparisonLinter  Xexclude from comparisonScyllaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA .NET NoSQL DBMS that can integrate with and extend SQL Server.RDBMS for high security requirementsCassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Relational DBMSWide column store
Secondary database modelsSpatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitebitnine.net/­agensgraphlinter.ruwww.scylladb.com
Technical documentationbitnine.net/­documentationdocs.scylladb.com
DeveloperBitnine Global Inc.FatCloudrelex.ruScyllaDB
Initial release2016201219902015
Current release2.1, December 2018ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCC#C and C++C++
Server operating systemsLinux
OS X
Windows
WindowsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemedepending on used data modelschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServeryesSQL-like DML and DDL statements (CQL)
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
Java
JavaScript
Python
C#C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyesyes infovia applicationsyes infoproprietary syntax with the possibility to convert from PL/SQLyes, Lua
Triggersnoyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
AgensGraphFatDBLinterScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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AgensGraphFatDBLinterScyllaDB
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