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DBMS > Netezza vs. Percona Server for MongoDB vs. Quasardb vs. Snowflake vs. Sqrrl

System Properties Comparison Netezza vs. Percona Server for MongoDB vs. Quasardb vs. Snowflake vs. Sqrrl

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSnowflake  Xexclude from comparisonSqrrl  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 PureSystemsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed, high-performance timeseries databaseCloud-based data warehousing service for structured and semi-structured dataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.percona.com/­mongodb/­software/­percona-server-for-mongodbquasar.aiwww.snowflake.comsqrrl.com
Technical documentationdocs.percona.com/­percona-distribution-for-mongodbdoc.quasar.ai/­masterdocs.snowflake.net/­manuals/­index.html
DeveloperIBMPerconaquasardbSnowflake Computing Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20002015200920142012
Current release3.4.10-2.10, November 20173.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemsLinux infoincluded in applianceLinuxBSD
Linux
OS X
Windows
hostedLinux
Data schemeyesschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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 indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyesnoSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
OLE DB
proprietary protocol using JSONHTTP APICLI Client
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesJavaScriptnouser defined functionsno
Triggersnononono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingyesSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication with selectable replication factoryesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyeswith Hadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovia In-Memory Engineyes infoTransient modeno
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users and rolesCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept, user roles and pluggable authenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Netezza infoAlso called PureData System for Analytics by IBMPercona Server for MongoDBQuasardbSnowflakeSqrrl
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