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DBMS > Netezza vs. Sqrrl vs. Typesense vs. YDB

System Properties Comparison Netezza vs. Sqrrl vs. Typesense vs. YDB

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSqrrl  Xexclude from comparisonTypesense  Xexclude from comparisonYDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionData warehouse and analytics appliance part of IBM PureSystemsAdaptable, secure NoSQL built on Apache AccumuloA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivityA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Search engineDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.ibm.com/­products/­netezzasqrrl.comtypesense.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationtypesense.org/­docsydb.tech/­en/­docs
DeveloperIBMAmazon infooriginally Sqrrl Data, Inc.Yandex
Initial release2000201220152019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux infoincluded in applianceLinuxLinuxLinux
Data schemeyesschema-freeschema-free infopre-defined schema optionalFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonoSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infomaking use of HadoopMulti-source replication using RAFTActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic updates per row, document, or graph entitynoACID
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights defined for Yandex Cloud users

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More resources
Netezza infoAlso called PureData System for Analytics by IBMSqrrlTypesenseYDB
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.com

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
29 June 2020, Datanami

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23 February 2024, Dark Reading

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