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

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

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonIRONdb  Xexclude from comparisonQdrant  Xexclude from comparisonWeaviate  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high-performance vector database with neural network or semantic-based matchingAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSVector DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitephoenix.apache.orgwww.circonus.com/solutions/time-series-database/github.com/­qdrant/­qdrant
qdrant.tech
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationphoenix.apache.orgdocs.circonus.com/irondb/category/getting-startedqdrant.tech/­documentationweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationCirconus LLC.QdrantWeaviate B.V.
Initial release2014201720212019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V0.10.20, January 20181.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++RustGo
Server operating systemsLinux
Unix
Windows
LinuxDocker
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsNumbers, Strings, Geo, Booleanyes 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.nononono
Secondary indexesyesnoyes infoKeywords, numberic ranges, geo, full-textyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)noGraphQL is used as query language
APIs and other access methodsJDBCHTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes, in Luano
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareCollection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency, tunable consistencyEventual 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.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoKey-based authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache PhoenixIRONdbQdrantWeaviate
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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More resources
Apache PhoenixIRONdbQdrantWeaviate
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