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DBMS > Apache Druid vs. Microsoft Access vs. SQL.JS vs. Teradata Aster

System Properties Comparison Apache Druid vs. Microsoft Access vs. SQL.JS vs. Teradata Aster

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSQL.JS  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore 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 dataMicrosoft 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.)Port of SQLite to JavaScriptPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score0.57
Rank#248  Overall
#114  Relational DBMS
Websitedruid.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssql.js.org
Technical documentationdruid.apache.org/­docs/­latest/­designdeveloper.microsoft.com/­en-us/­accesssql.js.org/­documentation/­index.html
DeveloperApache Software Foundation and contributorsMicrosoftAlon Zakai infoenhancements implemented by othersTeradata
Initial release2012199220122005
Current release29.0.1, April 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoBundled with Microsoft OfficeOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScript
Server operating systemsLinux
OS X
Unix
Windows infoNot a real database server, but making use of DLLsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyes infoschema-less columns are supportedyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nonoyes infoin Aster File Store
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infobut not compliant to any SQL standardyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
JavaScript APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScriptC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenoR packages
Triggersnoyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoa simple user-level security was built in till version Access 2003nofine grained access rights according to SQL-standard

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More resources
Apache DruidMicrosoft AccessSQL.JSTeradata Aster
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