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DBMS > Cachelot.io vs. GridDB vs. Netezza vs. PostGIS vs. TimescaleDB

System Properties Comparison Cachelot.io vs. GridDB vs. Netezza vs. PostGIS vs. TimescaleDB

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGridDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostGIS  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionIn-memory caching systemScalable in-memory time series database optimized for IoT and Big DataData warehouse and analytics appliance part of IBM PureSystemsSpatial extension of PostgreSQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeTime Series DBMSRelational DBMSSpatial DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#386  Overall
#61  Key-value stores
Score1.91
Rank#122  Overall
#10  Time Series DBMS
Score6.70
Rank#52  Overall
#31  Relational DBMS
Score19.62
Rank#29  Overall
#1  Spatial DBMS
Score3.68
Rank#74  Overall
#5  Time Series DBMS
Websitecachelot.iogriddb.netwww.ibm.com/­products/­netezzapostgis.netwww.timescale.com
Technical documentationdocs.griddb.netpostgis.net/­documentationdocs.timescale.com
DeveloperToshiba CorporationIBMTimescale
Initial release20152013200020052017
Current release5.1, August 20223.4.2, February 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++CC
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux infoincluded in applianceLinux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyesyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yesyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsMemcached protocolJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesuser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes infobased on PostgreSQLyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyes infobased on PostgreSQLSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnoAccess rights for users can be defined per databaseUsers with fine-grained authorization conceptyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
Cachelot.ioGridDBNetezza infoAlso called PureData System for Analytics by IBMPostGISTimescaleDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

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1 August 2023, The Register

IBM Completes Acquisition of Netezza
26 October 2017, PR Newswire

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

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General availability: Latest version of the TimeScaleDB extension on Azure Database for PostgreSQL - Flexible Server
8 May 2024, Microsoft

PostgreSQL is Now Faster than Pinecone, 75% Cheaper, with New Open Source Extensions
11 June 2024, PR Newswire

TimescaleDB for Azure Database for PostgreSQL to power IoT and time-series workloads
18 March 2019, Microsoft

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22 February 2022, Business Wire

Understanding Hyperfunctions in TimescaleDB
11 August 2021, CDOTrends

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