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DBMS > DataFS vs. Faircom DB vs. JanusGraph vs. ScyllaDB vs. Solr

System Properties Comparison DataFS vs. Faircom DB vs. JanusGraph vs. ScyllaDB vs. Solr

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonScyllaDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Cassandra and DynamoDB compatible wide column storeA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Graph DBMSWide column storeSearch engine
Secondary database modelsGraph DBMSKey-value storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitenewdatabase.comwww.faircom.com/­products/­faircom-dbjanusgraph.orgwww.scylladb.comsolr.apache.org
Technical documentationdev.mobiland.com/­Overview.xspdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.janusgraph.orgdocs.scylladb.comsolr.apache.org/­resources.html
DeveloperMobiland AGFairCom CorporationLinux Foundation; originally developed as Titan by AureliusScyllaDBApache Software Foundation
Initial release20181979201720152006
Current release1.1.263, October 2022V12, November 20200.6.3, February 2023ScyllaDB Open Source 5.4.1, January 20249.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageANSI C, C++JavaC++Java
Server operating systemsWindowsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Unix
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema free, schema optional, schema required, partial schema,yesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes infosupports customizable data types and automatic typing
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.nonononoyes
Secondary indexesnoyesyesyes infocluster global secondary indicesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsnoSQL-like DML and DDL statements (CQL)Solr Parallel SQL Interface
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Clojure
Java
Python
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesyes, LuaJava plugins
Triggersno, except callback-events from server when changes happenedyesyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Immediate Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDno infoAtomicity and isolation are supported for single operationsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tablesyes
User concepts infoAccess controlWindows-ProfileFine grained access rights according to SQL-standard with additional protections for filesUser authentification and security via Rexster Graph ServerAccess rights for users can be defined per objectyes
More information provided by the system vendor
DataFSFaircom DB infoformerly c-treeACEJanusGraph infosuccessor of TitanScyllaDBSolr
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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More resources
DataFSFaircom DB infoformerly c-treeACEJanusGraph infosuccessor of TitanScyllaDBSolr
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