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DBMS > Apache Pinot vs. Drizzle vs. Heroic vs. LevelDB vs. Teradata

System Properties Comparison Apache Pinot vs. Drizzle vs. Heroic vs. LevelDB vs. Teradata

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonTeradata  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value 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
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitepinot.apache.orggithub.com/­spotify/­heroicgithub.com/­google/­leveldbwww.teradata.com
Technical documentationdocs.pinot.apache.orgspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.teradata.com
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerSpotifyGoogleTeradata
Initial release20152008201420111984
Current release1.0.0, September 20237.2.4, September 20121.23, February 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
Linux
OS X
Illumos
Linux
OS X
Windows
hosted
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 Elasticsearchnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsnonoyes infoSQL 2016 + extensions
APIs and other access methodsJDBCJDBCHQL (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
C
C++
Java
PHP
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersno infohooks for callbacks inside the server can be used.nonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standard

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More resources
Apache PinotDrizzleHeroicLevelDBTeradata
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