DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Netezza vs. PieCloudDB vs. SiriDB vs. Weaviate

System Properties Comparison Netezza vs. PieCloudDB vs. SiriDB vs. Weaviate

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPieCloudDB  Xexclude from comparisonSiriDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA cloud-native analytic database platform with new technologoy for elastic MPPOpen Source Time Series DBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitewww.ibm.com/­products/­netezzawww.openpie.comsiridb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.siridb.comweaviate.io/­developers/­weaviate
DeveloperIBMOpenPieCesbitWeaviate B.V.
Initial release200020172019
Current release2.1, January 20231.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGo
Server operating systemsLinux infoincluded in appliancehostedLinux
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyesnoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Java
PL/SQL
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptUser Roles and pluggable authentication with full SQL Standardsimple rights management via user accountsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMPieCloudDBSiriDBWeaviate
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
All companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Netezza infoAlso called PureData System for Analytics by IBMPieCloudDBSiriDBWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

show all

Recent citations in the news

Roundup: Telehouse, Cloudera, Netezza, EMC
31 May 2024, Data Center Knowledge

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

Netezza Performance Server
12 August 2020, ibm.com

provided by Google News

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ...
24 January 2024, AWS Blog

Foley Represents Cortical Ventures in $50M Series B Round for Weaviate
17 December 2023, Foley & Lardner LLP

Weaviate Strengthens Partnership with AWS to Make it Easier for Developers to Build Generative AI Applications
16 November 2023, Datanami

Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
18 July 2023, Towards Data Science

Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology ...
21 April 2023, PR Newswire

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here