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DBMS > Apache Drill vs. Drizzle vs. Kinetica vs. Kingbase vs. YDB

System Properties Comparison Apache Drill vs. Drizzle vs. Kinetica vs. Kingbase vs. YDB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonKingbase  Xexclude from comparisonYDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitedrill.apache.orgwww.kinetica.comwww.kingbase.com.cngithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdrill.apache.org/­docsdocs.kinetica.comydb.tech/­en/­docs
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerKineticaBeiJing KINGBASE Information technologies inc.Yandex
Initial release20122008201219992019
Current release1.20.3, January 20237.2.4, September 20127.1, August 2021V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLcommercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C and Java
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinux
Windows
Linux
Data schemeschema-freeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infowith proprietary extensionsSQL-like DML and DDL statementsStandard with numerous extensionsSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsuser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes infoGPU vRAM or System RAMno
User concepts infoAccess controlDepending on the underlying data sourcePluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Apache DrillDrizzleKineticaKingbaseYDB
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