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DBMS > Amazon DynamoDB vs. AnzoGraph DB vs. Vertica

System Properties Comparison Amazon DynamoDB vs. AnzoGraph DB vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score69.14
Rank#17  Overall
#2  Document stores
#2  Key-value stores
Score0.16
Rank#287  Overall
#25  Graph DBMS
#15  RDF stores
Score21.21
Rank#32  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.cambridgesemantics.com/­anzographwww.vertica.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperAmazonCambridge SemanticsVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201220182005
Current release2.2, August 2020Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infofree trial version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedLinuxLinux
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.yes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsRESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-ClusterMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Kerberos/HDFS data loadingyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsyes
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 datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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 rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon DynamoDBAnzoGraph DBVertica infoVertica Analytics Platform
Specific characteristicsAnzoGraph DB is a massively parallel processing (MPP) native graph database built...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesAnzoGraph DB’s flexible data model and analytical capabilities not only let you load...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosDevelopers can use AnzoGraph DB to build and execute data warehouse-style BI analytics...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAnzograph DB has customers in biotech, pharma, financial services and other verticals.
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsAnzoGraph DB is offered in a free edition , free for commercial use for workloads...
» more
Cost-based models and subscription-based models are available
» more

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More resources
Amazon DynamoDBAnzoGraph DBVertica infoVertica Analytics Platform
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