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DBMS > DataFS vs. InfinityDB vs. ScyllaDB vs. TinkerGraph

System Properties Comparison DataFS vs. InfinityDB vs. ScyllaDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonInfinityDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonTinkerGraph  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.A Java embedded Key-Value Store which extends the Java Map interfaceCassandra and DynamoDB compatible wide column storeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSKey-value storeWide column storeGraph DBMS
Secondary database modelsGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitenewdatabase.comboilerbay.comwww.scylladb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdev.mobiland.com/­Overview.xspboilerbay.com/­infinitydb/­manualdocs.scylladb.com
DeveloperMobiland AGBoiler Bay Inc.ScyllaDB
Initial release2018200220152009
Current release1.1.263, October 20224.0ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaC++Java
Server operating systemsWindowsAll OS with a Java VMLinux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.nononono
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilityyes infocluster global secondary indicesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)no
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
JavaFor 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
Groovy
Java
Server-side scripts infoStored proceduresnoyes, Luano
Triggersno, except callback-events from server when changes happenednonono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
none
Foreign keys infoReferential integrityyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoin-memory tablesyes
User concepts infoAccess controlWindows-ProfilenoAccess rights for users can be defined per objectno
More information provided by the system vendor
DataFSInfinityDBScyllaDBTinkerGraph
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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DataFSInfinityDBScyllaDBTinkerGraph
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