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DBMS > Drizzle vs. Impala vs. RocksDB

System Properties Comparison Drizzle vs. Impala vs. RocksDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonImpala  Xexclude from comparisonRocksDB  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Analytic DBMS for HadoopEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.65
Rank#37  Overall
#23  Relational DBMS
Score3.73
Rank#88  Overall
#14  Key-value stores
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlrocksdb.org
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperDrizzle project, originally started by Brian AkerClouderaFacebook, Inc.
Initial release200820132013
Current release7.2.4, September 20123.4.0, April 20206.22.1, July 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsFreeBSD
Linux
OS X
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsno
APIs and other access methodsJDBCJDBC
ODBC
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBCC++
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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More resources
DrizzleImpalaRocksDB
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