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DBMS > Apache Pinot vs. Realm vs. Teradata

System Properties Comparison Apache Pinot vs. Realm vs. Teradata

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonRealm  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitepinot.apache.orgrealm.iowww.teradata.com
Technical documentationdocs.pinot.apache.orgrealm.io/­docsdocs.teradata.com
DeveloperApache Software Foundation and contributorsRealm, acquired by MongoDB in May 2019Teradata
Initial release201520141984
Current release1.0.0, September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java JDK11 or higherAndroid
Backend: server-less
iOS
Windows
hosted
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessaryyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standard

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Apache PinotRealmTeradata
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