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DBMS > Amazon DocumentDB vs. Amazon Neptune vs. etcd vs. InterSystems Caché vs. Teradata Aster

System Properties Comparison Amazon DocumentDB vs. Amazon Neptune vs. etcd vs. InterSystems Caché vs. Teradata Aster

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonetcd  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFast, reliable graph database built for the cloudA distributed reliable key-value storeA multi-model DBMS and application serverPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument storeGraph DBMS
RDF store
Key-value storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Websiteaws.amazon.com/­documentdbaws.amazon.com/­neptuneetcd.io
github.com/­etcd-io/­etcd
www.intersystems.com/­products/­cache
Technical documentationaws.amazon.com/­documentdb/­resourcesaws.amazon.com/­neptune/­developer-resourcesetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.intersystems.com
DeveloperAmazonInterSystemsTeradata
Initial release2019201719972005
Current release3.4, August 20192018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedhostedFreeBSD
Linux
Windows infoexperimental
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeschema-freedepending on used data modelFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyesyes infoin Aster File Store
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC
JSON over HTTP
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnononoyesR packages
Triggersnonoyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-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.Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBAmazon NeptuneetcdInterSystems CachéTeradata Aster
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