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DBMS > HarperDB vs. Sadas Engine vs. Spark SQL vs. TDengine

System Properties Comparison HarperDB vs. Sadas Engine vs. Spark SQL vs. TDengine

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platform
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.harperdb.iowww.sadasengine.comspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.harperdb.io/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.com
DeveloperHarperDBSADAS s.r.l.Apache Software FoundationTDEngine, previously Taos Data
Initial release2017200620142019
Current release3.1, August 20218.03.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++ScalaC
Server operating systemsLinux
OS X
AIX
Linux
Windows
Linux
OS X
Windows
Linux
Windows
Data schemedynamic schemayesyesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyes
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 indexesyesyesnono
SQL infoSupport of SQLSQL-like data manipulation statementsyesSQL-like DML and DDL statementsStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1nonono
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioningyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definednonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardnoyes
More information provided by the system vendor
HarperDBSadas EngineSpark SQLTDengine
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
HarperDBSadas EngineSpark SQLTDengine
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