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DBMS > Apache Doris vs. Apache Druid vs. HEAVY.AI vs. Microsoft Access vs. SwayDB

System Properties Comparison Apache Doris vs. Apache Druid vs. HEAVY.AI vs. Microsoft Access vs. SwayDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Druid  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolOpen-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 hardwareMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
druid.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.microsoft.com/­en-us/­microsoft-365/­accessswaydb.simer.au
Technical documentationgithub.com/­apache/­doris/­wikidruid.apache.org/­docs/­latest/­designdocs.heavy.aideveloper.microsoft.com/­en-us/­access
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsHEAVY.AI, Inc.MicrosoftSimer Plaha
Initial release20172012201619922018
Current release1.2.2, February 202329.0.1, April 20245.10, January 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache license v2Open Source infoApache Version 2; enterprise edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++ and CUDAC++Scala
Server operating systemsLinuxLinux
OS X
Unix
LinuxWindows infoNot a real database server, but making use of DLLs
Data schemeyesyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesnoyesno
SQL infoSupport of SQLyesSQL for queryingyesyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
MySQL client
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes infosince Access 2010 using the ACE-engineno
Triggersnononoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomanual/auto, time-basedSharding infoRound robinnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003no

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More resources
Apache DorisApache DruidHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft AccessSwayDB
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