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

DBMS > Amazon DynamoDB vs. Greenplum vs. Titan vs. Tkrzw vs. Valentina Server

System Properties Comparison Amazon DynamoDB vs. Greenplum vs. Titan vs. Tkrzw vs. Valentina Server

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGreenplum  Xexclude from comparisonTitan  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonValentina Server  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Titan is a Graph DBMS optimized for distributed clusters.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetObject-relational database and reports server
Primary database modelDocument store
Key-value store
Relational DBMSGraph DBMSKey-value storeRelational DBMS
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
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websiteaws.amazon.com/­dynamodbgreenplum.orggithub.com/­thinkaurelius/­titandbmx.net/­tkrzwwww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.greenplum.orggithub.com/­thinkaurelius/­titan/­wikivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonPivotal Software Inc.Aurelius, owned by DataStaxMikio HirabayashiParadigma Software
Initial release20122005201220201999
Current release7.0.0, September 20230.9.3, August 20205.7.5
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0Open Source infoApache license, version 2.0Open Source infoApache Version 2.0commercial
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 languageJavaC++
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infosince Version 4.2no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
Java
Perl
Python
R
Clojure
Java
Python
C++
Java
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyesnoyes
Triggersyes infoby integration with AWS Lambdayesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphnoyes
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 regionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classesyes
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-standardUser authentification and security via Rexster Graph Servernofine grained access rights according to SQL-standard

More information provided by the system vendor

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 DynamoDBGreenplumTitanTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetValentina Server
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

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

How Samsung Cloud optimized Amazon DynamoDB costs | Amazon Web Services
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

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16 September 2024, AWS Blog

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

provided by Google News

Chapter 1. Introducing the Greenplum Database
6 December 2018, oreilly.com

VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale
9 September 2019, AWS Blog

Greenplum 6 ventures outside the analytic box
19 March 2019, ZDNet

RSA: EMC integrates Hadoop with Greenplum database
26 February 2013, DatacenterDynamics

EMC Introduces Breakthrough 'Big Data' Computing System
13 October 2010, PR Newswire

provided by Google News

Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database
24 August 2015, AWS Blog

DataStax acquires Aurelius, the startup behind the Titan graph database
3 February 2015, VentureBeat

DSE Graph review: Graph database does double duty
14 November 2019, InfoWorld

Beyond Titan: The Evolution of DataStax’s New Graph Database
21 June 2016, Datanami

Database Deep Dives: JanusGraph
8 August 2019, IBM

provided by Google News

A Look at Valentina
18 April 2014, SitePoint

MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source
7 December 2018, H2S Media

provided by Google News



Share this page

Featured Products

SingleStore logo

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

Milvus logo

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

RaimaDB logo

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

Present your product here