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DBMS > Apache Drill vs. Heroic vs. Kinetica vs. Microsoft Azure Synapse Analytics vs. Teradata

System Properties Comparison Apache Drill vs. Heroic vs. Kinetica vs. Microsoft Azure Synapse Analytics vs. Teradata

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitedrill.apache.orggithub.com/­spotify/­heroicwww.kinetica.comazure.microsoft.com/­services/­synapse-analyticswww.teradata.com
Technical documentationdrill.apache.org/­docsspotify.github.io/­heroicdocs.kinetica.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.teradata.com
DeveloperApache Software FoundationSpotifyKineticaMicrosoftTeradata
Initial release20122014201220161984
Current release1.20.3, January 20237.1, August 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C++
Server operating systemsLinux
OS X
Windows
Linuxhostedhosted
Linux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesnoyes infovia Elasticsearchyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-like DML and DDL statementsyesyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++C++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsTransact SQLyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users and roles on table levelyesfine grained access rights according to SQL-standard

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More resources
Apache DrillHeroicKineticaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradata
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