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DBMS > Graph Engine vs. Machbase Neo vs. ScyllaDB vs. SWC-DB

System Properties Comparison Graph Engine vs. Machbase Neo vs. ScyllaDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonScyllaDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTimeSeries DBMS for AIoT and BigDataCassandra and DynamoDB compatible wide column storeA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
Key-value store
Time Series DBMSWide column storeWide column store
Secondary database modelsKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.graphengine.iomachbase.comwww.scylladb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.graphengine.io/­docs/­manualmachbase.com/­dbmsdocs.scylladb.com
DeveloperMicrosoftMachbaseScyllaDBAlex Kashirin
Initial release2010201320152020
Current releaseV8.0, August 2023ScyllaDB Open Source 5.4.1, January 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree test version availableOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL V3
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 language.NET and CCC++C++
Server operating systems.NETLinux
macOS
Windows
LinuxLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statements (CQL)SQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocol
Thrift
Supported programming languagesC#
C++
F#
Visual Basic
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
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
C++
Server-side scripts infoStored proceduresyesnoyes, Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagenoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tableyes infoin-memory tablesno
User concepts infoAccess controlsimple password-based access controlAccess rights for users can be defined per object
More information provided by the system vendor
Graph Engine infoformer name: TrinityMachbase Neo infoFormer name was InfinifluxScyllaDBSWC-DB infoSuper Wide Column Database
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...
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Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
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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
Graph Engine infoformer name: TrinityMachbase Neo infoFormer name was InfinifluxScyllaDBSWC-DB infoSuper Wide Column Database
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