DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon DynamoDB vs. Amazon Neptune vs. Raima Database Manager vs. TypeDB

System Properties Comparison Amazon DynamoDB vs. Amazon Neptune vs. Raima Database Manager vs. TypeDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the cloudRDBMS with a small footprint, either embedded into an application or used as a database serverTypeDB 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
Graph DBMS
RDF store
Relational DBMS
Time Series DBMS
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.
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
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.40
Rank#268  Overall
#125  Relational DBMS
#21  Time Series DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­neptuneraima.comtypedb.com
Technical documentationdocs.aws.amazon.com/­dynamodbaws.amazon.com/­neptune/­developer-resourcesdocs.raima.comtypedb.com/­docs
DeveloperAmazonAmazonRaima Inc.Vaticle
Initial release2012201719842016
Current release15, June 20212.28.3, June 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedhostedAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
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.nono infoExporting/Importing of XML structures possibleno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Objective-C
PL/SQL
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationno
Triggersyes infoby integration with AWS Lambdanoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningno
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-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.Source-replica replicationSynchronous 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 or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno 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 datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon DynamoDBAmazon NeptuneRaima Database Manager infoformerly named db_VistaTypeDB infoformerly named Grakn
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
News

RaimaDB and QNX Forge a Powerful Partnership in Embedded Systems
9 July 2024

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29 February 2024

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10 June 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBAmazon NeptuneRaima Database Manager infoformerly named db_VistaTypeDB infoformerly named Grakn
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

How Samsung Cloud optimized Amazon DynamoDB costs
19 September 2024, AWS Blog

Migrating Uber's Ledger Data from DynamoDB to LedgerStore
11 April 2024, Uber

Join the preview of attribute-based access control for Amazon DynamoDB | Amazon Web Services
3 September 2024, AWS Blog

Faster development with Amazon DynamoDB and Amazon Q Developer
12 September 2024, AWS Blog

AWS Weekly Roundup: Amazon DynamoDB, AWS AppSync, Storage Browser for Amazon S3, and more (September 9, 2024) | Amazon Web Services
9 September 2024, AWS Blog

provided by Google News

How Amazon stores deliver trustworthy shopping and seller experiences using Amazon Neptune
18 September 2024, AWS Blog

Hydrating the Natural History Museum’s Planetary Knowledge Base with Amazon Neptune and Open Data on AWS
13 September 2024, AWS Blog

How Prisma Cloud built Infinity Graph using Amazon Neptune and Amazon OpenSearch Service
27 August 2024, AWS Blog

Amazon Neptune Analytics now supports openCypher queries over RDF Graphs
13 August 2024, AWS Blog

New Amazon Neptune engine version delivers up to 9 times faster and 10 times higher throughput for openCypher query performance
23 July 2024, AWS Blog

provided by Google News

SOFTWARE TOOLS: Birdstep Technology intros RDM Embedded 9.1 & RDM Server 8.2
3 April 2009, Embedded

Edge Computing Enabling the Future
2 July 2018, WIND

Raima re-bundles their Raima Database Manager packages to align with market trends
14 March 2012, Embedded

LabVIEW integrates Raima’s Database API
7 August 2013, Embedded

provided by Google News

Modelling Biomedical Data for a Drug Discovery Knowledge Graph
6 October 2020, Towards Data Science

Speedb Goes Open Source With Its Speedb Data Engine, A Drop-in Replacement for RocksDB
9 November 2022, Business Wire

Bayer’s Approach to Modelling and Loading Data at Scale | by Daniel Crowe
16 August 2021, Towards Data Science

Building a Biomedical Knowledge Graph
28 June 2021, Towards Data Science

Comparing Grakn to Semantic Web Technologies — Part 2/3
26 June 2020, Towards Data Science

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here