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DBMS > Apache Druid vs. Cubrid vs. FeatureBase vs. HEAVY.AI

System Properties Comparison Apache Druid vs. Cubrid vs. FeatureBase vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCubrid  Xexclude from comparisonFeatureBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitedruid.apache.orgcubrid.com (korean)
cubrid.org (english)
www.featurebase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdruid.apache.org/­docs/­latest/­designcubrid.org/­manualsdocs.featurebase.comdocs.heavy.ai
DeveloperApache Software Foundation and contributorsCUBRID Corporation, CUBRID FoundationMolecula and Pilosa Open Source ContributorsHEAVY.AI, Inc.
Initial release2012200820172016
Current release29.0.1, April 202411.0, January 20212022, May 20225.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2; enterprise edition 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++, JavaGoC++ and CUDA
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
macOS
Linux
Data schemeyes infoschema-less columns are supportedyesyesyes
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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL for queryingyesSQL queriesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
gRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Thrift
Vega
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 datanoACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
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-standardfine grained access rights according to SQL-standard

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More resources
Apache DruidCubridFeatureBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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