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DBMS > Amazon DynamoDB vs. InfinityDB vs. InfluxDB vs. Netezza vs. SiriDB

System Properties Comparison Amazon DynamoDB vs. InfinityDB vs. InfluxDB vs. Netezza vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA Java embedded Key-Value Store which extends the Java Map interfaceDBMS for storing time series, events and metricsData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMS
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.57
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.07
Rank#359  Overall
#54  Key-value stores
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­dynamodbboilerbay.comwww.influxdata.com/­products/­influxdb-overviewwww.ibm.com/­products/­netezzasiridb.com
Technical documentationdocs.aws.amazon.com/­dynamodbboilerbay.com/­infinitydb/­manualdocs.influxdata.com/­influxdbdocs.siridb.com
DeveloperAmazonBoiler Bay Inc.IBMCesbit
Initial release20122002201320002017
Current release4.02.7.5, January 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoMIT License
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 languageJavaGoC
Server operating systemshostedAll OS with a Java VMLinux
OS X infothrough Homebrew
Linux infoincluded in applianceLinux
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysNumeric data and Stringsyesyes infoNumeric data
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilitynoyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
JSON over UDP
JDBC
ODBC
OLE DB
HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononoyesno
Triggersyes infoby integration with AWS Lambdanononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoin enterprise version onlyShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infoin enterprise version onlySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynonono
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 regionACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACIDno
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.noyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nosimple rights management via user accountsUsers with fine-grained authorization conceptsimple rights management via user accounts
More information provided by the system vendor
Amazon DynamoDBInfinityDBInfluxDBNetezza infoAlso called PureData System for Analytics by IBMSiriDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
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