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DBMS > Amazon Neptune vs. Apache Drill vs. Firebase Realtime Database vs. RocksDB

System Properties Comparison Amazon Neptune vs. Apache Drill vs. Firebase Realtime Database vs. RocksDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Drill  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Document storeKey-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
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Websiteaws.amazon.com/­neptunedrill.apache.orgfirebase.google.com/­products/­realtime-databaserocksdb.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdrill.apache.org/­docsfirebase.google.com/­docs/­databasegithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazonApache Software FoundationGoogle infoacquired by Google 2014Facebook, Inc.
Initial release2017201220122013
Current release1.20.3, January 20238.11.4, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
OS X
Windows
hostedLinux
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnonoyesno
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Java API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++Java
JavaScript
Objective-C
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionslimited functionality with using 'rules'no
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
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.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes
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 sourceyes, based on authentication and database rulesno

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More resources
Amazon NeptuneApache DrillFirebase Realtime DatabaseRocksDB
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