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DBMS > Apache Druid vs. Brytlyt vs. Drizzle vs. YDB

System Properties Comparison Apache Druid vs. Brytlyt vs. Drizzle vs. YDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBrytlyt  Xexclude from comparisonDrizzle  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.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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 DBMSRelational DBMSDocument store
Relational DBMS
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
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitedruid.apache.orgbrytlyt.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.brytlyt.ioydb.tech/­en/­docs
DeveloperApache Software Foundation and contributorsBrytlytDrizzle project, originally started by Brian AkerYandex
Initial release2012201620082019
Current release29.0.1, April 20245.0, August 20237.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGNU GPLOpen 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, C++ and CUDAC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Data schemeyes infoschema-less columns are supportedyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyes infowith proprietary extensionsSQL-like query language (YQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCRESTful HTTP API (DynamoDB compatible)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnono
Triggersnoyesno infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replication
Source-replica replication
Active-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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights defined for Yandex Cloud users

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More resources
Apache DruidBrytlytDrizzleYDB
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