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DBMS > Apache Pinot vs. Heroic vs. Microsoft Azure AI Search vs. Teradata Aster vs. Tkrzw

System Properties Comparison Apache Pinot vs. Heroic vs. Microsoft Azure AI Search vs. Teradata Aster vs. Tkrzw

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSearch-as-a-service for web and mobile app developmentPlatform for big data analytics on multistructured data sources and typesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSSearch engineRelational DBMSKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitepinot.apache.orggithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­searchdbmx.net/­tkrzw
Technical documentationdocs.pinot.apache.orgspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation and contributorsSpotifyMicrosoftTeradataMikio Hirabayashi
Initial release20152014201520052020
Current release1.0.0, September 2023V10.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java JDK11 or higherhostedLinuxLinux
macOS
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 Storeno
Secondary indexesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL-like query languagenonoyesno
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
C#
Java
JavaScript
Python
C
C#
C++
Java
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoR packagesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infousing specific database classes
User concepts infoAccess controlyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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More resources
Apache PinotHeroicMicrosoft Azure AI SearchTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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