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DBMS > Immudb vs. Netezza vs. ObjectBox vs. Teradata

System Properties Comparison Immudb vs. Netezza vs. ObjectBox vs. Teradata

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Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn 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 PureSystemsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeRelational DBMSObject oriented DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#295  Overall
#42  Key-value stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzagithub.com/­objectbox
objectbox.io
www.teradata.com
Technical documentationdocs.immudb.iodocs.objectbox.iodocs.teradata.com
DeveloperCodenotaryIBMObjectBox LimitedTeradata
Initial release2020200020171984
Current release1.2.3, April 20224.0 (May 2024)Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialBindings are released under Apache 2.0 infoApache License 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 languageGoC and C++
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in applianceAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
hosted
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyes
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.nonoyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like syntaxyesnoyes infoSQL 2016 + extensions
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationData sync between devices allowing occasional connected databases to work completely offlineMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization conceptyesfine grained access rights according to SQL-standard
More information provided by the system vendor
ImmudbNetezza infoAlso called PureData System for Analytics by IBMObjectBoxTeradata
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ImmudbNetezza infoAlso called PureData System for Analytics by IBMObjectBoxTeradata
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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Recent citations in the news

A Step by Step Guide to immudb — the open source immutable database
18 May 2020, hackernoon.com

immudb (immutable database) ‘tamper-proof’ database
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ImmuDB and Codenotary: It's a database, but the company isn't
20 December 2021, ZDNet

Immudb: Open-source database, built on a zero trust model
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21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Copy data from Netezza to Azure with Azure Data Factory
9 September 2019, Microsoft

IBM Completes Acquisition of Netezza
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