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DBMS > Apache Phoenix vs. Kyligence Enterprise vs. Qdrant vs. Weaviate

System Properties Comparison Apache Phoenix vs. Kyligence Enterprise vs. Qdrant vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonQdrant  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed analytics engine for big data, built on top of Apache KylinA 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 DBMSRelational DBMSVector DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitephoenix.apache.orgkyligence.io/­kyligence-enterprisegithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationphoenix.apache.orgqdrant.tech/­documentationweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationKyligence, Inc.QdrantWeaviate B.V.
Initial release2014201620212019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.19, 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 languageJavaJavaRustGo
Server operating systemsLinux
Unix
Windows
LinuxDocker
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesNumbers, 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 indexesyesyesyes 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 SQLyesANSI SQL for queries (using Apache Calcite)noGraphQL is used as query language
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
gRPC
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
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Collection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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-tenancyKey-based authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache PhoenixKyligence EnterpriseQdrantWeaviate
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 PhoenixKyligence EnterpriseQdrantWeaviate
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