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DBMS > Amazon Neptune vs. Google Cloud Bigtable vs. KairosDB vs. NSDb vs. Riak TS

System Properties Comparison Amazon Neptune vs. Google Cloud Bigtable vs. KairosDB vs. NSDb vs. Riak TS

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKairosDB  Xexclude from comparisonNSDb  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed Time Series DBMS based on Cassandra or H2Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelGraph DBMS
RDF store
Key-value store
Wide column store
Time Series DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websiteaws.amazon.com/­neptunecloud.google.com/­bigtablegithub.com/­kairosdb/­kairosdbnsdb.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcescloud.google.com/­bigtable/­docskairosdb.github.ionsdb.io/­Architecturewww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAmazonGoogleOpen Source, formerly Basho Technologies
Initial release20172015201320172015
Current release1.2.2, November 20183.0.0, September 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaErlang
Server operating systemshostedhostedLinux
OS X
Windows
Linux
macOS
Linux
OS X
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes: int, bigint, decimal, stringno
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.nonononono
Secondary indexesnononoall fields are automatically indexedrestricted
SQL infoSupport of SQLnononoSQL-like query languageyes, limited
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Graphite protocol
HTTP REST
Telnet API
gRPC
HTTP REST
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
JavaScript infoNode.js
PHP
Python
Java
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonononoErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraShardingSharding
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.Internal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on Cassandraselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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 based on Google Cloud Identity and Access Management (IAM)simple password-based access controlno

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More resources
Amazon NeptuneGoogle Cloud BigtableKairosDBNSDbRiak TS
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