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DBMS > Amazon Neptune vs. Apache Druid vs. Google Cloud Firestore vs. XTDB

System Properties Comparison Amazon Neptune vs. Apache Druid vs. Google Cloud Firestore vs. XTDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Document storeDocument 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
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Score0.13
Rank#330  Overall
#45  Document stores
Websiteaws.amazon.com/­neptunedruid.apache.orgfirebase.google.com/­products/­firestoregithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­firestorewww.xtdb.com/­docs
DeveloperAmazonApache Software Foundation and contributorsGoogleJuxt Ltd.
Initial release2017201220172019
Current release30.0.0, June 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaClojure
Server operating systemshostedLinux
OS X
Unix
hostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL for queryingnolimited SQL, making use of Apache Calcite
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP REST
JDBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Clojure
Java
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsno
Triggersnonoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardingnone
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, via HDFS, S3 or other storage enginesMulti-source replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Amazon NeptuneApache DruidGoogle Cloud FirestoreXTDB infoformerly named Crux
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