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DBMS > Amazon Neptune vs. Apache Impala vs. BoltDB vs. CockroachDB vs. CouchDB

System Properties Comparison Amazon Neptune vs. Apache Impala vs. BoltDB vs. CockroachDB vs. CouchDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for HadoopAn embedded key-value store for Go.CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMSDocument store
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Websiteaws.amazon.com/­neptuneimpala.apache.orggithub.com/­boltdb/­boltwww.cockroachlabs.comcouchdb.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docsdocs.couchdb.org/­en/­stable
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaCockroach LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developer
Initial release20172013201320152005
Current release4.1.0, June 202224.1.0, May 20243.3.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoApache 2.0, commercial license availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoGoErlang
Server operating systemshostedLinuxBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Android
BSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexesnoyesnoyesyes infovia views
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes, wire compatible with PostgreSQLno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
JDBCRESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCGoC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenonoView functions in JavaScript
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding infoimproved architecture with release 2.0
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 factornoneMulti-source replication using RAFTMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDno infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infostrategy: optimistic locking
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
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 KerberosnoRole-based access controlAccess rights for users can be defined per database

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Amazon NeptuneApache ImpalaBoltDBCockroachDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"
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