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DBMS > Amazon DynamoDB vs. EDB Postgres vs. Lovefield vs. TypeDB

System Properties Comparison Amazon DynamoDB vs. EDB Postgres vs. Lovefield vs. TypeDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonEDB Postgres  Xexclude from comparisonLovefield  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Embeddable relational database for web apps written in pure JavaScriptTypeDB 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.
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSGraph 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.
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.86
Rank#131  Overall
#61  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.enterprisedb.comgoogle.github.io/­lovefieldtypedb.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.enterprisedb.com/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdtypedb.com/­docs
DeveloperAmazonEnterpriseDBGoogleVaticle
Initial release2012200520142016
Current release14, December 20212.1.12, February 20172.28.3, June 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infoBSD for PostgreSQL-componentsOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScriptJava
Server operating systemshostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
JavaScriptAll JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyes infoby integration with AWS LambdayesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoby hash, list or rangenoneno
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon DynamoDBEDB PostgresLovefieldTypeDB infoformerly named Grakn
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 DynamoDBEDB PostgresLovefieldTypeDB infoformerly named Grakn
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