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DBMS > Amazon DynamoDB vs. FaunaDB vs. STSdb vs. Vertica

System Properties Comparison Amazon DynamoDB vs. FaunaDB vs. STSdb vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFaunaDB  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudStrongly consistent database capable of global horizontal scale with a focus on operational simplicityKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.63
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.69
Rank#180  Overall
#26  Document stores
#14  Graph DBMS
#89  Relational DBMS
#9  Time Series DBMS
Score0.05
Rank#309  Overall
#51  Key-value stores
Score22.17
Rank#30  Overall
#18  Relational DBMS
Websiteaws.amazon.com/­dynamodbfauna.comstssoft.com/­products/­stsdb-4-0www.vertica.com
Technical documentationdocs.aws.amazon.com/­dynamodbfauna.com/­documentationwww.vertica.com/­documentation/­vertica
DeveloperAmazonFauna, Inc.STS Soft SCVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2012201420112005
Current releaseVertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoGPLv2, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC#
Server operating systemshostedLinuxWindowsLinux
Data schemeschema-freeschema-freeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesnoyes infoprimitive types and user defined types (classes)yes
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 indexesyesyesnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnononoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsRESTful HTTP APIRESTful HTTP API.NET Client APIADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
Java
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersyes infoby integration with AWS Lambdanonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyesMasterlessnoneMaster-master 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)nonoyes 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Identity management, authentication, and access controlnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon DynamoDBFaunaDBSTSdbVertica infoVertica Analytics Platform
Specific characteristicsServerless cloud database for modern applications Native GraphQL API High performance...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesDocument-relational interface: combines flexibility in modeling with flexibility...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosModern Javascript Apps Identity management Multi-tenant SaaS backend Social content...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersNextdoor ShiftX
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DynamoDBFaunaDBSTSdbVertica infoVertica Analytics Platform
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