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DBMS > Druid vs. RocksDB vs. Yanza

System Properties Comparison Druid vs. RocksDB vs. Yanza

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonRocksDB  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Time Series DBMS for IoT Applications
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.79
Rank#117  Overall
#58  Relational DBMS
#7  Time Series DBMS
Score2.52
Rank#103  Overall
#19  Key-value stores
Score0.00
Rank#344  Overall
#30  Time Series DBMS
Websitedruid.apache.orgrocksdb.orgyanza.com
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­facebook/­rocksdb/­wiki
DeveloperMetamarkets Group and contributorsFacebook, Inc.Yanza
Initial release201220132015
Current release6.3.6, October 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSDcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLSQL support via Apache Calcite adapternono
APIs and other access methodsJSON over HTTPC++ API
Java API
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonono
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
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 controlno infoavailable via extensionsnono

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More resources
DruidRocksDBYanza
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