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DBMS > Amazon Neptune vs. Brytlyt vs. Databend vs. Dragonfly

System Properties Comparison Amazon Neptune vs. Brytlyt vs. Databend vs. Dragonfly

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBrytlyt  Xexclude from comparisonDatabend  Xexclude from comparisonDragonfly  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Websiteaws.amazon.com/­neptunebrytlyt.iogithub.com/­datafuselabs/­databend
www.databend.com
github.com/­dragonflydb/­dragonfly
www.dragonflydb.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.brytlyt.iodocs.databend.comwww.dragonflydb.io/­docs
DeveloperAmazonBrytlytDatabend LabsDragonflyDB team and community contributors
Initial release2017201620212023
Current release5.0, August 20231.0.59, April 20231.0, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoBSL 1.1
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDARustC++
Server operating systemshostedLinux
OS X
Windows
hosted
Linux
macOS
Linux
Data schemeschema-freeyesyesscheme-free
Typing infopredefined data types such as float or dateyesyesyesstrings, hashes, lists, sets, sorted sets, bit arrays
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnoLua
Triggersnoyesnopublish/subscribe channels provide some trigger functionality
Partitioning methods infoMethods for storing different data on different nodesnonenone
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 replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesAtomic execution of command blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, strict serializability by the server
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesPassword-based authentication

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More resources
Amazon NeptuneBrytlytDatabendDragonfly
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