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DBMS > AlaSQL vs. Elasticsearch vs. H2 vs. Microsoft Azure SQL Database vs. TDengine

System Properties Comparison AlaSQL vs. Elasticsearch vs. H2 vs. Microsoft Azure SQL Database vs. TDengine

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonElasticsearch  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionJavaScript DBMS libraryA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering with high compatibility to Microsoft SQL ServerTime Series DBMS and big data platform
Primary database modelDocument store
Relational DBMS
Search engineRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMSDocument store
Graph DBMS
Spatial DBMS
Relational 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
Score135.35
Rank#7  Overall
#1  Search engines
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitealasql.orgwww.elastic.co/­elasticsearchwww.h2database.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­azure-sqldocs.tdengine.com
DeveloperAndrey Gershun & Mathias R. WulffElasticThomas MuellerMicrosoftTDEngine, previously Taos Data
Initial release20142010200520102019
Current release8.6, January 20232.2.220, July 2023V123.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoElastic LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen 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 languageJavaScriptJavaJavaC++C
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VMAll OS with a Java VMhostedLinux
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
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.nononoyesno
Secondary indexesnoyes infoAll search fields are automatically indexedyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageyesyesStandard SQL with extensions for time-series applications
APIs and other access methodsJavaScript APIJava API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesJavaScript.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined FunctionsTransact SQLno
Triggersyesyes infoby using the 'percolation' featureyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesMemcached and Redis integrationyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
AlaSQLElasticsearchH2Microsoft Azure SQL Database infoformerly SQL AzureTDengine
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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AlaSQLElasticsearchH2Microsoft Azure SQL Database infoformerly SQL AzureTDengine
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