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DBMS > Apache Phoenix vs. Qdrant vs. Weaviate vs. Yanza

System Properties Comparison Apache Phoenix vs. Qdrant vs. Weaviate vs. Yanza

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonQdrant  Xexclude from comparisonWeaviate  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA high-performance vector database with neural network or semantic-based matchingAn AI-native realtime vector database engine that integrates scalable machine learning models.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSVector DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitephoenix.apache.orggithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­weaviate/­weaviate
weaviate.io
yanza.com
Technical documentationphoenix.apache.orgqdrant.tech/­documentationweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationQdrantWeaviate B.V.Yanza
Initial release2014202120192015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprisecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustGo
Server operating systemsLinux
Unix
Windows
Docker
Linux
macOS
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes infostring, int, float, geo point, date, cross reference, fuzzy referencesno
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.nononono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedno
SQL infoSupport of SQLyesnoGraphQL is used as query languageno
APIs and other access methodsJDBCgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GraphQL query language
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScript / TypeScript
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Collection-level replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency, tunable consistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyKey-based authenticationAPI Keys
OpenID Connect Discovery
no
More information provided by the system vendor
Apache PhoenixQdrantWeaviateYanza
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PhoenixQdrantWeaviateYanza
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, Microsoft

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

Azure HDInsight Analytics Platform Now Supports Apache Hadoop 3.0
18 April 2019, eWeek

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Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

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23 January 2024, Business Wire

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

Why Vector Data Services For AI Are A Moveable Feast
17 April 2024, Forbes

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17 December 2023, Foley & Lardner LLP

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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



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