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DBMS > Amazon Neptune vs. Apache Impala vs. Firebase Realtime Database vs. Hypertable

System Properties Comparison Amazon Neptune vs. Apache Impala vs. Firebase Realtime Database vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for HadoopCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeWide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Websiteaws.amazon.com/­neptuneimpala.apache.orgfirebase.google.com/­products/­realtime-database
Technical documentationaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­database
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogle infoacquired by Google 2014Hypertable Inc.
Initial release2017201320122009
Current release4.1.0, June 20220.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeyesschema-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.nonono
Secondary indexesnoyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCJava
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducelimited functionality with using 'rules'no
TriggersnonoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
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.selectable replication factorselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno
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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosyes, based on authentication and database rulesno

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More resources
Amazon NeptuneApache ImpalaFirebase Realtime DatabaseHypertable
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