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DBMS > Apache Druid vs. Kingbase vs. Manticore Search vs. YDB

System Properties Comparison Apache Druid vs. Kingbase vs. Manticore Search vs. YDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonKingbase  Xexclude from comparisonManticore Search  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Multi-storage database for search, including full-text search.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engineDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitedruid.apache.orgwww.kingbase.com.cnmanticoresearch.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdruid.apache.org/­docs/­latest/­designmanual.manticoresearch.comydb.tech/­en/­docs
DeveloperApache Software Foundation and contributorsBeiJing KINGBASE Information technologies inc.Manticore SoftwareYandex
Initial release2012199920172019
Current release29.0.1, April 2024V8.0, August 20216.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPL version 2Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaC++
Server operating systemsLinux
OS X
Unix
Linux
Windows
FreeBSD
Linux
macOS
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesFixed schemaFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noyesCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingStandard with numerous extensionsSQL-like query languageSQL-like query language (YQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesSynchronous replication based on Galera libraryActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardnoAccess rights defined for Yandex Cloud users

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More resources
Apache DruidKingbaseManticore SearchYDB
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