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DBMS > Databricks vs. HyperSQL vs. Realm vs. TDengine

System Properties Comparison Databricks vs. HyperSQL vs. Realm vs. TDengine

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonRealm  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTime Series DBMS and big data platform
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.databricks.comhsqldb.orgrealm.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.databricks.comhsqldb.org/­web/­hsqlDocsFrame.htmlrealm.io/­docsdocs.tdengine.com
DeveloperDatabricksRealm, acquired by MongoDB in May 2019TDEngine, previously Taos Data
Initial release2013200120142019
Current release2.7.2, June 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen SourceOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAndroid
Backend: server-less
iOS
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava, SQLno inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesyes infoChange Listenersyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardyesyes
More information provided by the system vendor
DatabricksHyperSQL infoalso known as HSQLDBRealmTDengine
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
TDengine™ 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
News

Seamless Data Integration from MQTT and InfluxDB to TDengine
22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

What Is Predictive Maintenance?
17 May 2024

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatabricksHyperSQL infoalso known as HSQLDBRealmTDengine
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