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DBMS > Amazon Aurora vs. InfluxDB vs. Netezza vs. Oracle Berkeley DB

System Properties Comparison Amazon Aurora vs. InfluxDB vs. Netezza vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonInfluxDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDBMS for storing time series, events and metricsData warehouse and analytics appliance part of IBM PureSystemsWidely used in-process key-value store
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.75
Rank#47  Overall
#28  Relational DBMS
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score19.97
Rank#32  Overall
#20  Relational DBMS
Score2.91
Rank#90  Overall
#16  Key-value stores
#2  Native XML DBMS
Websiteaws.amazon.com/­rds/­aurorawww.influxdata.com/­time-series-platform/­influxdbwww.ibm.com/­analytics/­netezzawww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­CHAP_Aurora.htmldocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonIBMOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2015201320001994
Current release1.7.8, August 201918.1 (Core), June 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux infoincluded in applianceAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesno
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.yesnoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languageyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
JSON over UDP
JDBC
ODBC
OLE DB
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.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
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesnoyesno
Triggersyesnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoin enterprise version onlyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infoin enterprise version onlyMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsUsers with fine-grained authorization conceptno
More information provided by the system vendor
Amazon AuroraInfluxDBNetezza infoAlso called PureData System for Analytics by IBMOracle Berkeley DB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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More resources
Amazon AuroraInfluxDBNetezza infoAlso called PureData System for Analytics by IBMOracle Berkeley DB
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