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DBMS > KeyDB vs. Netezza vs. Pinecone

System Properties Comparison KeyDB vs. Netezza vs. Pinecone

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsData warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector database
Primary database modelKey-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.63
Rank#232  Overall
#32  Key-value stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
www.ibm.com/­products/­netezzawww.pinecone.io
Technical documentationdocs.keydb.devdocs.pinecone.io/­docs/­overview
DeveloperEQ Alpha Technology Ltd.IBMPinecone Systems, Inc
Initial release201920002019
License infoCommercial or Open SourceOpen Source infoBSD-3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxLinux infoincluded in appliancehosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesString, Number, Boolean
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 indexesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
Python
Server-side scripts infoStored proceduresLuayes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlsimple password-based access control and ACLUsers with fine-grained authorization concept

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More resources
KeyDBNetezza infoAlso called PureData System for Analytics by IBMPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Snap snaps up database developer KeyDB to make its infrastructure more snappy
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Microsoft open-sources unique “Garnet” cache-store; a Redis rival?
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21 August 2019, AWS Blog

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1 August 2023, The Register

Copy data from Netezza to Azure with Azure Data Factory
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IBM Completes Acquisition of Netezza
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Pinecone serverless goes multicloud as vector database market heats up
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Pinecone launches its serverless vector database out of preview
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