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DBMS > Amazon Neptune vs. atoti vs. DolphinDB vs. KeyDB vs. LeanXcale

System Properties Comparison Amazon Neptune vs. atoti vs. DolphinDB vs. KeyDB vs. LeanXcale

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonatoti  Xexclude from comparisonDolphinDB  Xexclude from comparisonKeyDB  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelGraph DBMS
RDF store
Object oriented DBMSTime Series DBMSKey-value storeKey-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websiteaws.amazon.com/­neptuneatoti.iowww.dolphindb.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.leanxcale.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.atoti.iodocs.dolphindb.cn/­en/­help200/­index.htmldocs.keydb.dev
DeveloperAmazonActiveViamDolphinDB, IncEQ Alpha Technology Ltd.LeanXcale
Initial release2017201820192015
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercial infofree community version availableOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedLinux
Windows
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nonono
Secondary indexesnoyesyes infoby using the Redis Search module
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)SQL-like query languagenoyes infothrough Apache Derby
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
Java
Scala
Server-side scripts infoStored proceduresnoPythonyesLua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioninghorizontal partitioningSharding
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.yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators, Users, Groupssimple password-based access control and ACL

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More resources
Amazon NeptuneatotiDolphinDBKeyDBLeanXcale
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