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DBMS > Amazon Neptune vs. Apache Drill vs. DolphinDB vs. JaguarDB vs. Sqrrl

System Properties Comparison Amazon Neptune vs. Apache Drill vs. DolphinDB vs. JaguarDB vs. Sqrrl

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Drill  Xexclude from comparisonDolphinDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDolphinDB 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.Performant, highly scalable DBMS for AI and IoT applicationsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Time Series DBMSKey-value store
Vector DBMS
Document store
Graph DBMS
Key-value store
Wide column store
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
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Websiteaws.amazon.com/­neptunedrill.apache.orgwww.dolphindb.comwww.jaguardb.comsqrrl.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdrill.apache.org/­docsdocs.dolphindb.cn/­en/­help200/­index.htmlwww.jaguardb.com/­support.html
DeveloperAmazonApache Software FoundationDolphinDB, IncDataJaguar, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20172012201820152012
Current release1.20.3, January 2023v2.00.4, January 20223.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infofree community version availableOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ infothe server part. Clients available in other languagesJava
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
LinuxLinux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnonoyesyesyes
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnouser defined functionsyesnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningShardingSharding infomaking use of Hadoop
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 replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceAdministrators, Users, Groupsrights management via user accountsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon NeptuneApache DrillDolphinDBJaguarDBSqrrl
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