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DBMS > FeatureBase vs. Immudb vs. Netezza vs. Pinecone

System Properties Comparison FeatureBase vs. Immudb vs. Netezza vs. Pinecone

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Data warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector database
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitewww.featurebase.comgithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzawww.pinecone.io
Technical documentationdocs.featurebase.comdocs.immudb.iodocs.pinecone.io/­docs/­overview
DeveloperMolecula and Pilosa Open Source ContributorsCodenotaryIBMPinecone Systems, Inc
Initial release2017202020002019
Current release2022, May 20221.2.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoGo
Server operating systemsLinux
macOS
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in appliancehosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesString, 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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL queriesSQL-like syntaxyesno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesJava
Python
.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Python
Server-side scripts infoStored proceduresnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept

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More resources
FeatureBaseImmudbNetezza infoAlso called PureData System for Analytics by IBMPinecone
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