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DBMS > InfinityDB vs. Infobright vs. Netezza vs. Snowflake

System Properties Comparison InfinityDB vs. Infobright vs. Netezza vs. Snowflake

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Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonInfobright  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendData warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websiteboilerbay.comignitetech.com/­softwarelibrary/­infobrightdbwww.ibm.com/­products/­netezzawww.snowflake.com
Technical documentationboilerbay.com/­infinitydb/­manualdocs.snowflake.net/­manuals/­index.html
DeveloperBoiler Bay Inc.Ignite Technologies Inc.; formerly InfoBright Inc.IBMSnowflake Computing Inc.
Initial release2002200520002014
Current release4.0
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsAll OS with a Java VMLinux
Windows
Linux infoincluded in appliancehosted
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyes
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 indexesno infomanual creation possible, using inversions based on multi-value capabilityno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesJava.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersnononono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilitynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACIDACID
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
InfinityDBInfobrightNetezza infoAlso called PureData System for Analytics by IBMSnowflake
DB-Engines blog posts

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

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Recent citations in the news

Ignite Buys Database Vendor Infobright
2 May 2017, Datanami

provided by Google 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

Netezza Performance Server
12 August 2020, ibm.com

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evolv Announces Partnership and Revolutionary AI Solution at Snowflake's Data Cloud Summit 2024
24 May 2024, PR Newswire

Snowflake and Microsoft announce expansion of their partnership
22 May 2024, Microsoft

Snowflake acquires TruEra to deliver LLM observability inside data cloud
22 May 2024, VentureBeat

Redox, Snowflake Partner to Streamline Healthcare Data Exchange for AI and Machine Learning
24 May 2024, HIT Consultant

Generative AI Innovation in Snowflake-Informatica Partnership
23 May 2024, SiliconANGLE News

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