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DBMS > Apache Pinot vs. EXASOL vs. Heroic vs. Teradata

System Properties Comparison Apache Pinot vs. EXASOL vs. Heroic vs. Teradata

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEXASOL  Xexclude from comparisonHeroic  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational 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
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitepinot.apache.orgwww.exasol.comgithub.com/­spotify/­heroicwww.teradata.com
Technical documentationdocs.pinot.apache.orgwww.exasol.com/­resourcesspotify.github.io/­heroicdocs.teradata.com
DeveloperApache Software Foundation and contributorsExasolSpotifyTeradata
Initial release2015200020141984
Current release1.0.0, September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java JDK11 or higherhosted
Linux
Data schemeyesyesschema-freeyes
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
Secondary indexesyesyes infovia Elasticsearchyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageyesnoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC.Net
JDBC
ODBC
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
Python
Java
Lua
Python
R
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache PinotEXASOLHeroicTeradata
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