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DBMS > Amazon SimpleDB vs. Couchbase vs. GigaSpaces vs. TypeDB vs. VelocityDB

System Properties Comparison Amazon SimpleDB vs. Couchbase vs. GigaSpaces vs. TypeDB vs. VelocityDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Graph DBMS
Object oriented DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score16.74
Rank#33  Overall
#5  Document stores
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Websiteaws.amazon.com/­simpledbwww.couchbase.comwww.gigaspaces.comtypedb.comvelocitydb.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.couchbase.comdocs.gigaspaces.com/­latest/­landing.htmltypedb.com/­docsvelocitydb.com/­UserGuide
DeveloperAmazonCouchbase, Inc.Gigaspaces TechnologiesVaticleVelocityDB Inc
Initial release20072011200020162011
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 202315.5, September 20202.28.3, June 20247.x
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL Version 3, commercial licenses availablecommercial
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, C++, Go and ErlangJava, C++, .NetJavaC#
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Any that supports .NET
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.no infoXML can be used for describing objects metadatanono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyesyes
SQL infoSupport of SQLnoSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesSQL-99 for query and DML statementsnono
APIs and other access methodsRESTful HTTP APICLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
.Net
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
.Net
C++
Java
Python
Scala
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
.Net
Server-side scripts infoStored proceduresnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++yesnono
Triggersnoyes infovia the TAP protocolyes, event driven architecturenoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic ShardingShardingnoSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoincluding cross data center replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Synchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoEphemeral bucketsyesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Role-based access controlyes infoat REST API level; other APIs in progressBased on Windows Authentication
More information provided by the system vendor
Amazon SimpleDBCouchbase infoOriginally called MembaseGigaSpacesTypeDB infoformerly named GraknVelocityDB
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Amazon SimpleDBCouchbase infoOriginally called MembaseGigaSpacesTypeDB infoformerly named GraknVelocityDB
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