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DBMS > Apache Druid vs. LMDB vs. Quasardb vs. Weaviate

System Properties Comparison Apache Druid vs. LMDB vs. Quasardb vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonLMDB  Xexclude from comparisonQuasardb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA high performant, light-weight, embedded key-value database libraryDistributed, high-performance timeseries databaseAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeTime Series 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
Score2.33
Rank#118  Overall
#21  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitedruid.apache.orgwww.symas.com/­symas-embedded-database-lmdbquasar.aigithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.lmdb.tech/­docdoc.quasar.ai/­masterweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation and contributorsSymasquasardbWeaviate B.V.
Initial release2012201120092019
Current release29.0.1, April 20240.9.32, January 20243.14.1, January 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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 languageJavaCC++Go
Server operating systemsLinux
OS X
Unix
Linux
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes 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 infowith tagsyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageGraphQL is used as query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoCryptographically strong user authentication and audit trailAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache DruidLMDBQuasardbWeaviate
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 DruidLMDBQuasardbWeaviate
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