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DBMS > DuckDB vs. FatDB vs. Graphite vs. Netezza

System Properties Comparison DuckDB vs. FatDB vs. Graphite vs. Netezza

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonFatDB  Xexclude from comparisonGraphite  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSA .NET NoSQL DBMS that can integrate with and extend SQL Server.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websiteduckdb.orggithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­netezza
Technical documentationduckdb.org/­docsgraphite.readthedocs.io
DeveloperFatCloudChris DavisIBM
Initial release2018201220062000
Current release0.10, February 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0commercial
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++C#Python
Server operating systemsserver-lessWindowsLinux
Unix
Linux infoincluded in appliance
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL Servernoyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
Sockets
JDBC
ODBC
OLE DB
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyes infovia applicationsnoyes
Triggersnoyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infolockingyes
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.yes
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsnoUsers with fine-grained authorization concept

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More resources
DuckDBFatDBGraphiteNetezza infoAlso called PureData System for Analytics by IBM
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Recent citations in the news

DuckDB: In-Process Python Analytics for Not-Quite-Big Data
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MotherDuck launches its DuckDB-based cloud analytics platform
30 May 2024, MSN

My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
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DuckDB Walks to the Beat of Its Own Analytics Drum
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Try out the Graphite monitoring tool for time-series data
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The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
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The value of time series data and TSDBs
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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
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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
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