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DBMS > Netezza vs. OpenMLDB vs. OpenTSDB vs. Sadas Engine vs. XTDB

System Properties Comparison Netezza vs. OpenMLDB vs. OpenTSDB vs. Sadas Engine vs. XTDB

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsAn open-source machine learning database that provides a feature platform for training and inferenceScalable Time Series DBMS based on HBaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.ibm.com/­products/­netezzaopenmldb.aiopentsdb.netwww.sadasengine.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationopenmldb.ai/­docs/­zh/­mainopentsdb.net/­docs/­build/­html/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.xtdb.com/­docs
DeveloperIBM4 Paradigm Inc.currently maintained by Yahoo and other contributorsSADAS s.r.l.Juxt Ltd.
Initial release20002020201120062019
Current release2024-2 February 20248.01.19, September 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoLGPLcommercial infofree trial version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, ScalaJavaC++Clojure
Server operating systemsLinux infoincluded in applianceLinuxLinux
Windows
AIX
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesFixed schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyesyes, extensible-data-notation format
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.nononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
SQLAlchemy
HTTP API
Telnet API
JDBC
ODBC
Proprietary protocol
HTTP REST
JDBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C++
Go
Java
Python
Scala
Erlang
Go
Java
Python
R
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresyesnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infobased on HBasehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infobased on HBasenoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Netezza infoAlso called PureData System for Analytics by IBMOpenMLDBOpenTSDBSadas EngineXTDB infoformerly named Crux
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

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

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

IBM Brings Back a Netezza, Attacks Yellowbrick
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