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DBMS > JaguarDB vs. Netezza vs. Qdrant vs. searchxml vs. Snowflake

System Properties Comparison JaguarDB vs. Netezza vs. Qdrant vs. searchxml vs. Snowflake

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQdrant  Xexclude from comparisonsearchxml  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsA high-performance vector database with neural network or semantic-based matchingDBMS for structured and unstructured content wrapped with an application serverCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value store
Vector DBMS
Relational DBMSVector DBMSNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score1.23
Rank#171  Overall
#6  Vector DBMS
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Score123.20
Rank#9  Overall
#6  Relational DBMS
Websitewww.jaguardb.comwww.ibm.com/­products/­netezzagithub.com/­qdrant/­qdrant
qdrant.tech
www.searchxml.net/­category/­productswww.snowflake.com
Technical documentationwww.jaguardb.com/­support.htmlqdrant.tech/­documentationwww.searchxml.net/­support/­handoutsdocs.snowflake.net/­manuals/­index.html
DeveloperDataJaguar, Inc.IBMQdrantinformationpartners gmbhSnowflake Computing Inc.
Initial release20152000202120152014
Current release3.3 July 20231.0
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesRustC++
Server operating systemsLinuxLinux infoincluded in applianceDocker
Linux
macOS
Windows
Windowshosted
Data schemeyesyesschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyesyes
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.nonoyesyes
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesnonoyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
WebDAV
XQuery
XSLT
CLI Client
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infomost other programming languages supported via APIsJavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyes infoon the application serveruser defined functions
Triggersnononono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationCollection-level replicationyes infosychronisation to multiple collectionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency, tunable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization conceptKey-based authenticationDomain, group and role-based access control at the document level and for application servicesUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
JaguarDBNetezza infoAlso called PureData System for Analytics by IBMQdrantsearchxmlSnowflake
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Recent citations in the news

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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

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

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23 January 2024, TechCrunch

Qdrant launches first vector database as a managed hybrid cloud
16 April 2024, VentureBeat

Open-source vector database Qdrant launches hybrid cloud for enterprise AI apps
16 April 2024, SiliconANGLE News

Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI ...
16 April 2024, blogs.oracle.com

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Snowflake releases a flagship generative AI model of its own
24 April 2024, TechCrunch

Snowflake says its new LLM outperforms Meta's Llama 3 on half the training
24 April 2024, ZDNet

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