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DBMS > Apache Druid vs. NSDb vs. WakandaDB vs. Weaviate

System Properties Comparison Apache Druid vs. NSDb vs. WakandaDB vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonNSDb  Xexclude from comparisonWakandaDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSObject oriented DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitedruid.apache.orgnsdb.iowakanda.github.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdruid.apache.org/­docs/­latest/­designnsdb.io/­Architecturewakanda.github.io/­docweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation and contributorsWakanda SASWeaviate B.V.
Initial release2012201720122019
Current release29.0.1, April 20242.7.0 (April 29, 2019), April 20191.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaC++, JavaScriptGo
Server operating systemsLinux
OS X
Unix
Linux
macOS
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes 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 indexesyesall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL for queryingSQL-like query languagenoGraphQL is used as query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC
HTTP REST
WebSocket
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Scala
JavaScriptJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache DruidNSDbWakandaDBWeaviate
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 DruidNSDbWakandaDBWeaviate
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