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DBMS > Apache Pinot vs. Microsoft Access vs. Quasardb vs. Riak TS

System Properties Comparison Apache Pinot vs. Microsoft Access vs. Quasardb vs. Riak TS

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyMicrosoft 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.)Distributed, high-performance timeseries databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitepinot.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessquasar.ai
Technical documentationdocs.pinot.apache.orgdeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation and contributorsMicrosoftquasardbOpen Source, formerly Basho Technologies
Initial release2015199220092015
Current release1.0.0, September 20231902 (16.0.11328.20222), March 20193.14.1, January 20243.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Erlang
Server operating systemsAll OS with a Java JDK11 or higherWindows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Linux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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 indexesyesyes infowith tagsrestricted
SQL infoSupport of SQLSQL-like query languageyes infobut not compliant to any SQL standardSQL-like query languageyes, limited
APIs and other access methodsJDBCADO.NET
DAO
ODBC
OLE DB
HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesGo
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-enginenoErlang
Triggersyes infosince Access 2010 using the ACE-enginenoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient mode
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Cryptographically strong user authentication and audit trailno

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More resources
Apache PinotMicrosoft AccessQuasardbRiak TS
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