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DBMS > Apache Druid vs. Manticore Search vs. Qdrant vs. Riak KV

System Properties Comparison Apache Druid vs. Manticore Search vs. Qdrant vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonManticore Search  Xexclude from comparisonQdrant  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMulti-storage database for search, including full-text search.A high-performance vector database with neural network or semantic-based matchingDistributed, fault tolerant key-value store
Primary database modelRelational DBMS
Time Series DBMS
Search engineVector DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitedruid.apache.orgmanticoresearch.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdruid.apache.org/­docs/­latest/­designmanual.manticoresearch.comqdrant.tech/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation and contributorsManticore SoftwareQdrantOpenSource, formerly Basho Technologies
Initial release2012201720212009
Current release29.0.1, April 20246.0, February 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPL version 2Open Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++RustErlang
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
macOS
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Data schemeyes infoschema-less columns are supportedFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanNumbers, Strings, Geo, Booleanno
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.noCan index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyes infoKeywords, numberic ranges, geo, full-textrestricted
SQL infoSupport of SQLSQL for queryingSQL-like query languagenono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP API
Native Erlang Interface
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSynchronous replication based on Galera libraryCollection-level replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoKey-based authenticationyes, using Riak Security

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Apache DruidManticore SearchQdrantRiak KV
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