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DBMS > AlaSQL vs. Brytlyt vs. Drizzle vs. Microsoft Azure Synapse Analytics vs. TDengine

System Properties Comparison AlaSQL vs. Brytlyt vs. Drizzle vs. Microsoft Azure Synapse Analytics vs. TDengine

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonBrytlyt  Xexclude from comparisonDrizzle  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.
DescriptionJavaScript DBMS libraryScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Elastic, 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 DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitealasql.orgbrytlyt.ioazure.microsoft.com/­services/­synapse-analyticsgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.brytlyt.iodocs.microsoft.com/­azure/­synapse-analyticsdocs.tdengine.com
DeveloperAndrey Gershun & Mathias R. WulffBrytlytDrizzle project, originally started by Brian AkerMicrosoftTDEngine, previously Taos Data
Initial release20142016200820162019
Current release5.0, August 20237.2.4, September 20123.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGNU GPLcommercialOpen 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 languageJavaScriptC, C++ and CUDAC++C++C
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinux
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesyes infowith proprietary extensionsyesStandard SQL with extensions for time-series applications
APIs and other access methodsJavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesJavaScript.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
C#
Java
PHP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnoTransact SQLno
Triggersyesyesno infohooks for callbacks inside the server can be used.noyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno 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 datayes infoonly for local storage and DOM-storageACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnofine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPyesyes
More information provided by the system vendor
AlaSQLBrytlytDrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengine
Specific characteristicsTDengine™ 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
AlaSQLBrytlytDrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengine
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