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DBMS > Amazon DynamoDB vs. HugeGraph vs. Riak KV vs. Vertica

System Properties Comparison Amazon DynamoDB vs. HugeGraph vs. Riak KV vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonRiak KV  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA fast-speed and highly-scalable Graph DBMSDistributed, fault tolerant key-value storeCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument store
Key-value store
Graph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websiteaws.amazon.com/­dynamodbgithub.com/­hugegraph
hugegraph.apache.org
www.vertica.com
Technical documentationdocs.aws.amazon.com/­dynamodbhugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestvertica.com/­documentation
DeveloperAmazonBaiduOpenSource, formerly Basho TechnologiesOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2012201820092005
Current release0.93.2.0, December 202212.0.3, January 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editioncommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++
Server operating systemshostedLinux
macOS
Unix
Linux
OS X
Linux
Data schemeschema-freeyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyesyes infoalso supports composite index and range indexrestrictedNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnononoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Groovy
Java
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsErlangyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infoby integration with AWS Lambdanoyes infopre-commit hooks and post-commit hooksyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"horizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factorMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)via hugegraph-sparkyesno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno infolinks between data sets can be storedyes
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 regionACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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)Users, roles and permissionsyes, using Riak Securityfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon DynamoDBHugeGraphRiak KVVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
Amazon DynamoDBHugeGraphRiak KVVertica infoOpenText™ Vertica™
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