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DBMS > Apache Impala vs. IBM Db2 Event Store vs. Microsoft SQL Server vs. TDengine

System Properties Comparison Apache Impala vs. IBM Db2 Event Store vs. Microsoft SQL Server vs. TDengine

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed Event Store optimized for Internet of Things use casesMicrosofts flagship relational DBMSTime Series DBMS and big data platform
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websiteimpala.apache.orgwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­sql-servergithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.ibm.com/­docs/­en/­db2-event-storelearn.microsoft.com/­en-US/­sql/­sql-serverdocs.tdengine.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIBMMicrosoftTDEngine, previously Taos Data
Initial release2013201719892019
Current release4.1.0, June 20222.0SQL Server 2022, November 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availablecommercial inforestricted free version is availableOpen 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 languageC++C and C++C++C
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeyesStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Apache ImpalaIBM Db2 Event StoreMicrosoft SQL ServerTDengine
Specific characteristicsTDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» 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 ImpalaIBM Db2 Event StoreMicrosoft SQL ServerTDengine
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