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DBMS > Amazon Neptune vs. DataFS vs. OpenEdge vs. ScyllaDB

System Properties Comparison Amazon Neptune vs. DataFS vs. OpenEdge vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDataFS  Xexclude from comparisonOpenEdge  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAll 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.Application development environment with integrated database management systemCassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMS
RDF store
Object oriented DBMSRelational DBMSWide column store
Secondary database modelsGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websiteaws.amazon.com/­neptunenewdatabase.comwww.progress.com/­openedgewww.scylladb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdev.mobiland.com/­Overview.xspdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.scylladb.com
DeveloperAmazonMobiland AGProgress Software CorporationScyllaDB
Initial release2017201819842015
Current release1.1.263, October 2022OpenEdge 12.2, March 2020ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageC++
Server operating systemshostedWindowsAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-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.nonoyesno
Secondary indexesnonoyesyes infocluster global secondary indices
SQL infoSupport of SQLnonoyes infoclose to SQL 92SQL-like DML and DDL statements (CQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
VB.Net
Progress proprietary ABL (Advanced Business Language)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 proceduresnoyesyes, Lua
Triggersnono, except callback-events from server when changes happenedyesno
Partitioning methods infoMethods for storing different data on different nodesnoneProprietary Sharding systemhorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Source-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoin-memory tables
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Windows-ProfileUsers and groupsAccess rights for users can be defined per object
More information provided by the system vendor
Amazon NeptuneDataFSOpenEdgeScyllaDB
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
Amazon NeptuneDataFSOpenEdgeScyllaDB
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