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DBMS > Graphite vs. Netezza vs. PlanetScale vs. Rockset

System Properties Comparison Graphite vs. Netezza vs. PlanetScale vs. Rockset

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPlanetScale  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperData warehouse and analytics appliance part of IBM PureSystemsScalable, distributed, serverless MySQL database platform built on top of VitessA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitegithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­netezzaplanetscale.comrockset.com
Technical documentationgraphite.readthedocs.ioplanetscale.com/­docsdocs.rockset.com
DeveloperChris DavisIBMPlanetScaleRockset
Initial release2006200020202019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonGoC++
Server operating systemsLinux
Unix
Linux infoincluded in applianceDocker
Linux
macOS
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateNumeric data onlyyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsRead-only SQL queries, including JOINs
APIs and other access methodsHTTP API
Sockets
JDBC
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST
Supported programming languagesJavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntaxno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyes infotable locks or row locks depending on storage engineyes
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 controlnoUsers with fine-grained authorization conceptUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and organizations can be defined via Rockset console

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More resources
GraphiteNetezza infoAlso called PureData System for Analytics by IBMPlanetScaleRockset
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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Time Series DBMS as a new trend?
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Recent citations in the news

Try out the Graphite monitoring tool for time-series data
29 October 2019, TechTarget

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The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
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23 January 2015, InfoQ.com

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11 July 2023, ibm.com

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

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29 June 2020, Datanami

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