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DBMS > Amazon DynamoDB vs. AnzoGraph DB vs. EXASOL vs. TempoIQ vs. Vertica

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

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonEXASOL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
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 virtualizationHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Scalable analytics DBMS for sensor data, provided as a service (SaaS)Cloud 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 DBMS
RDF store
Relational DBMSTime Series DBMSRelational 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
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websiteaws.amazon.com/­dynamodbcambridgesemantics.com/­anzographwww.exasol.comtempoiq.com (offline)www.vertica.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.exasol.com/­resourcesvertica.com/­documentation
DeveloperAmazonCambridge SemanticsExasolTempoIQOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20122018200020122005
Current release2.3, January 202112.0.3, January 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infofree trial version availablecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinuxLinux
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesschema-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 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.nononono
Secondary indexesyesnoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.yesnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsRESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.Net
JDBC
ODBC
WebSocket
HTTP APIADO.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
C++
Java
Python
Java
Lua
Python
R
C#
Java
JavaScript infoNode.js
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functionsnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infoby integration with AWS Lambdanoyesyes infoRealtime Alertsyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-ClusterMulti-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)Kerberos/HDFS data loadingyes infoHadoop integrationnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsyesnoyes
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 regionACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
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 rolesAccess rights for users, groups and roles according to SQL-standardsimple authentication-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon DynamoDBAnzoGraph DBEXASOLTempoIQ infoformerly TempoDBVertica 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...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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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 DynamoDBAnzoGraph DBEXASOLTempoIQ infoformerly TempoDBVertica infoOpenText™ Vertica™
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