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

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Pinot  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDistributed 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.)
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitedruid.apache.orgpinot.apache.orgwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.pinot.apache.orgwww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­access
DeveloperApache Software Foundation and contributorsApache Software Foundation and contributorsIBMMicrosoft
Initial release2012201520171992
Current release30.0.0, June 20241.0.0, September 20232.01902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercial infofree developer edition availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C++
Server operating systemsLinux
OS X
Unix
All OS with a Java JDK11 or higherLinux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLs
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
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
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engine
Triggersnonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
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 logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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 2003

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More resources
Apache DruidApache PinotIBM Db2 Event StoreMicrosoft Access
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