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DBMS > Apache Druid vs. Atos Standard Common Repository vs. Microsoft Access vs. QuestDB

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. Microsoft Access vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuestDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMicrosoft 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.)A high performance open source SQL database for time series data
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#97  Overall
#50  Relational DBMS
#7  Time Series DBMS
Score92.15
Rank#12  Overall
#8  Relational DBMS
Score2.83
Rank#95  Overall
#6  Time Series DBMS
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.microsoft.com/­en-us/­microsoft-365/­accessquestdb.io
Technical documentationdruid.apache.org/­docs/­latest/­designdeveloper.microsoft.com/­en-us/­accessquestdb.io/­docs
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsMicrosoftQuestDB Technology Inc
Initial release2012201619922014
Current release30.0.0, June 202417031902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Unix
LinuxWindows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingnoyes infobut not compliant to any SQL standardSQL with time-series extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPADO.NET
DAO
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnoneSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACID infobut no files for transaction loggingACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesyes infothrough memory mapped files
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Apache DruidAtos Standard Common RepositoryMicrosoft AccessQuestDB
News

Time-series and analytical databases walk into a bar
28 October 2024

Monitoring QuestDB with simple curl commands
24 October 2024

QuestDB and Raspberry Pi 5 benchmark, a pocket-sized powerhouse
22 October 2024

The future of fast databases: Lessons from a decade of QuestDB
10 October 2024

QuestDB 8.1.2 - Tabs & Balance
8 October 2024

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More resources
Apache DruidAtos Standard Common RepositoryMicrosoft AccessQuestDB
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