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DBMS > Apache Druid vs. IBM Db2 Event Store vs. Microsoft Access vs. MySQL vs. QuestDB

System Properties Comparison Apache Druid vs. IBM Db2 Event Store vs. Microsoft Access vs. MySQL vs. QuestDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMySQL  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed Event Store optimized for Internet of Things use casesMicrosoft 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.)Widely used open source RDBMSA high performance open source SQL database for time series data
Primary database modelRelational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Relational DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitedruid.apache.orgwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­accesswww.mysql.comquestdb.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­accessdev.mysql.com/­docquestdb.io/­docs
DeveloperApache Software Foundation and contributorsIBMMicrosoftOracle infosince 2010, originally MySQL AB, then SunQuestDB Technology Inc
Initial release20122017199219952014
Current release29.0.1, April 20242.01902 (16.0.11328.20222), March 20198.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen 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 languageJavaC and C++C++C and C++Java (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Unix
Linux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL for queryingyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardyes infowith proprietary extensionsSQL with time-series extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engineyes infoproprietary syntaxno
Triggersnonoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesActive-active shard replicationnoneMulti-source replication
Source-replica replication
Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingACID infonot for MyISAM storage engineACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infothrough memory mapped files
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-standardno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Apache DruidIBM Db2 Event StoreMicrosoft AccessMySQLQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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