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DBMS > Apache Druid vs. HEAVY.AI vs. openGauss vs. OpenQM vs. SwayDB

System Properties Comparison Apache Druid vs. HEAVY.AI vs. openGauss vs. OpenQM vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonopenGauss  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiQpenQM is a high-performance, self-tuning, multi-value DBMSAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSMultivalue DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitedruid.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
gitee.com/­opengauss
opengauss.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.heavy.aidocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software Foundation and contributorsHEAVY.AI, Inc.Huawei and openGauss communityRocket Software, originally Martin PhillipsSimer Plaha
Initial release20122016201919932018
Current release29.0.1, April 20245.10, January 20223.0, March 20223.4-12
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAC, C++, JavaScala
Server operating systemsLinux
OS X
Unix
LinuxLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononoyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL for queryingyesANSI SQL 2011nono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Java
.Net
Basic
C
Java
Objective C
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonoyesyesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoRound robinhorizontal partitioning (by range, list and hash)yesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
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-standardAccess rights for users, groups and roles according to SQL-standardAccess rights can be defined down to the item levelno

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More resources
Apache DruidHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022openGaussOpenQM infoalso called QMSwayDB
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