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DBMS > Apache Impala vs. Microsoft SQL Server vs. SAP HANA vs. TDengine vs. TerarkDB

System Properties Comparison Apache Impala vs. Microsoft SQL Server vs. SAP HANA vs. TDengine vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP HANA  Xexclude from comparisonTDengine  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopMicrosofts flagship relational DBMSIn-memory, column based data store. Available as appliance or cloud serviceTime Series DBMS and big data platformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteimpala.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­hana.htmlgithub.com/­taosdata/­TDengine
tdengine.com
github.com/­bytedance/­terarkdb
Technical documentationimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hanadocs.tdengine.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftSAPTDEngine, previously Taos DataByteDance, originally Terark
Initial release20131989201020192016
Current release4.1.0, June 2022SQL Server 2022, November 20222.0 SPS07 (April 4, 2023), April 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availablecommercialOpen Source infoAGPL V3, also commercial editions availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonono infoalso available as a cloud based servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++C++CC++
Server operating systemsLinuxLinux
Windows
Appliance or cloud-serviceLinux
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
JDBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, Rnono
Triggersnoyesyesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server Editionyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyesyesno
More information provided by the system vendor
Apache ImpalaMicrosoft SQL ServerSAP HANATDengineTerarkDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache ImpalaMicrosoft SQL ServerSAP HANATDengineTerarkDB
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