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DBMS > Apache Drill vs. Drizzle vs. Heroic vs. Microsoft Azure Synapse Analytics vs. TDengine

System Properties Comparison Apache Drill vs. Drizzle vs. Heroic vs. Microsoft Azure Synapse Analytics vs. TDengine

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTDengine  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.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageMySQL 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 ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTime Series DBMS and big data platform
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational 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
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitedrill.apache.orggithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdrill.apache.org/­docsspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsdocs.tdengine.com
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerSpotifyMicrosoftTDEngine, previously Taos Data
Initial release20122008201420162019
Current release1.20.3, January 20237.2.4, September 20123.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLOpen Source infoApache 2.0commercialOpen Source infoAGPL V3, also commercial editions available
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 languageC++JavaC++C
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinux
Windows
Data schemeschema-freeyesschema-freeyesyes
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.nononono
Secondary indexesnoyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infowith proprietary extensionsnoyesStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC++C
C++
Java
PHP
C#
Java
PHP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsnonoTransact SQLno
Triggersnono infohooks for callbacks inside the server can be used.nonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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 sourceno
User concepts infoAccess controlDepending on the underlying data sourcePluggable authentication mechanisms infoe.g. LDAP, HTTPyesyes
More information provided by the system vendor
Apache DrillDrizzleHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Apache DrillDrizzleHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengine
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