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DBMS > Netezza vs. ObjectBox vs. Prometheus vs. Quasardb

System Properties Comparison Netezza vs. ObjectBox vs. Prometheus vs. Quasardb

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelRelational DBMSObject oriented DBMS
Vector DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.ibm.com/­products/­netezzagithub.com/­objectbox
objectbox.io
prometheus.ioquasar.ai
Technical documentationdocs.objectbox.ioprometheus.io/­docsdoc.quasar.ai/­master
DeveloperIBMObjectBox Limitedquasardb
Initial release2000201720152009
Current release4.0 (May 2024)3.14.1, January 2024
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++GoC++
Server operating systemsLinux infoincluded in applianceAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesNumeric data onlyyes infointeger and binary
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.nono infoImport of XML data possibleno
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
OLE DB
Proprietary native APIRESTful HTTP/JSON APIHTTP API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationData sync between devices allowing occasional connected databases to work completely offlineyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization conceptyesnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMObjectBoxPrometheusQuasardb
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More resources
Netezza infoAlso called PureData System for Analytics by IBMObjectBoxPrometheusQuasardb
Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

Netezza Performance Server
12 August 2020, ibm.com

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

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ObjectBox Raises $2M in Funding
4 December 2018, FinSMEs

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27 August 2021, hackernoon.com

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10 March 2024, AWS Blog

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29 March 2024, IBM

VictoriaMetrics Offers Prometheus Replacement for Time Series Monitoring
17 July 2023, The New Stack

Linux System Monitoring with Prometheus, Grafana, and collectd
1 February 2024, Linux Journal

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20 February 2024, EarthSky

Quasar Partners with PTC to Empower IoT Customers with High-Performance Data Solutions
11 September 2023, Datanami

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