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DBMS > Druid vs. Ignite vs. RocksDB

System Properties Comparison Druid vs. Ignite vs. RocksDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonIgnite  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Relational 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
Score4.65
Rank#68  Overall
#12  Key-value stores
#36  Relational DBMS
Score2.52
Rank#103  Overall
#19  Key-value stores
Websitedruid.apache.orgignite.apache.orgrocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designapacheignite.readme.io/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperMetamarkets Group and contributorsApache Software FoundationFacebook, Inc.
Initial release201220152013
Current releaseApache Ignite 2.66.3.6, October 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open 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++, Java, .NetC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL support via Apache Calcite adapterANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJSON over HTTPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
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 datanoACIDyes
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.noyesyes
User concepts infoAccess controlno infoavailable via extensionsSecurity Hooks for custom implementationsno

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More resources
DruidIgniteRocksDB
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