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DBMS > Apache Drill vs. Cubrid vs. HEAVY.AI vs. Riak KV vs. Spark SQL

System Properties Comparison Apache Drill vs. Cubrid vs. HEAVY.AI vs. Riak KV vs. Spark SQL

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCubrid  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRiak KV  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed, fault tolerant key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitedrill.apache.orgcubrid.com (korean)
cubrid.org (english)
github.com/­heavyai/­heavydb
www.heavy.ai
spark.apache.org/­sql
Technical documentationdrill.apache.org/­docscubrid.org/­manualsdocs.heavy.aiwww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationCUBRID Corporation, CUBRID FoundationHEAVY.AI, Inc.OpenSource, formerly Basho TechnologiesApache Software Foundation
Initial release20122008201620092014
Current release1.20.3, January 202311.0, January 20215.10, January 20223.2.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++ and CUDAErlangScala
Server operating systemsLinux
OS X
Windows
Linux
Windows
LinuxLinux
OS X
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesnoyesnorestrictedno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Thrift
Vega
HTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languagesC++C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsJava Stored ProceduresnoErlangno
Triggersnoyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinSharding infono "single point of failure"yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesno
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes, using Riak Securityno

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More resources
Apache DrillCubridHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Riak KVSpark SQL
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