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

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

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYottaDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionTime 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 CabinetA fast and solid embedded Key-value store
Primary database modelTime Series DBMSSearch engineRelational DBMSKey-value storeKey-value store
Secondary database modelsVector DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­searchdbmx.net/­tkrzwyottadb.com
Technical documentationspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­searchyottadb.com/­resources/­documentation
DeveloperSpotifyMicrosoftTeradataMikio HirabayashiYottaDB, LLC
Initial release20142015200520202001
Current releaseV10.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemshostedLinuxLinux
macOS
Docker
Linux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 Storenono
Secondary indexesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLnonoyesnoby using the Octo plugin
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
C
C#
C++
Java
Python
R
C++
Java
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonoR packagesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding 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.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworknono
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 datanonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infousing specific database classesyes
User concepts infoAccess controlyes infousing Azure authenticationfine grained access rights according to SQL-standardnoUsers and groups based on OS-security mechanisms

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More resources
HeroicMicrosoft Azure AI SearchTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYottaDB
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