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DBMS > Druid vs. eXtremeDB vs. RocksDB

System Properties Comparison Druid vs. eXtremeDB vs. RocksDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisoneXtremeDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataNatively in-memory DBMS with options for persistency, high-availability and clusteringEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
Time Series DBMS
Key-value store
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
Score0.39
Rank#220  Overall
#104  Relational DBMS
#12  Time Series DBMS
Score2.52
Rank#103  Overall
#19  Key-value stores
Websitedruid.apache.orgwww.mcobject.com/­extremedbfamilyrocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.mcobject.com/­docs/­eXtremeDB.htmgithub.com/­facebook/­rocksdb/­wiki
DeveloperMetamarkets Group and contributorsMcObjectFacebook, Inc.
Initial release201220012013
Current release8.0, May 20186.3.6, October 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Unix
AIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesschema-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 infosupport of XML interfaces availableno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL support via Apache Calcite adapteryes infowith the option: eXtremeSQLno
APIs and other access methodsJSON over HTTP.NET Client API
JDBC
JNI
ODBC
proprietary protocol
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Java
Lua
Python
C++
Java
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMaster-master replication infoby means of eXtremeDB Cluster option
Master-slave replication infoby means of eXtremeDB High Availability option
none
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.noyesyes
User concepts infoAccess controlno infoavailable via extensionsno
More information provided by the system vendor
DruideXtremeDBRocksDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DruideXtremeDBRocksDB
Recent citations in the news

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Yahoo Casts Real-Time OLAP Queries with Druid
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