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DBMS > Apache Druid vs. IBM Db2 Event Store vs. Microsoft SQL Server vs. Percona Server for MongoDB vs. TDengine

System Properties Comparison Apache Druid vs. IBM Db2 Event Store vs. Microsoft SQL Server vs. Percona Server for MongoDB vs. TDengine

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed Event Store optimized for Internet of Things use casesMicrosofts flagship relational DBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Time Series DBMS and big data platform
Primary database modelRelational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitedruid.apache.orgwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­sql-serverwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.ibm.com/­docs/­en/­db2-event-storelearn.microsoft.com/­en-US/­sql/­sql-serverdocs.percona.com/­percona-distribution-for-mongodbdocs.tdengine.com
DeveloperApache Software Foundation and contributorsIBMMicrosoftPerconaTDEngine, previously Taos Data
Initial release20122017198920152019
Current release29.0.1, April 20242.0SQL Server 2022, November 20223.4.10-2.10, November 20173.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree developer edition availablecommercial inforestricted free version is availableOpen Source infoGPL Version 2Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageJavaC and C++C++C++C
Server operating systemsLinux
OS X
Unix
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
LinuxLinux
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL for queryingyes infothrough the embedded Spark runtimeyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
proprietary protocol using JSONJDBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
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
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJavaScriptno
Triggersnonoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingtables can be distributed across several files (horizontal partitioning); sharding through federationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesActive-active shard replicationyes, but depending on the SQL-Server EditionSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infovia In-Memory Engine
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and rolesyes
More information provided by the system vendor
Apache DruidIBM Db2 Event StoreMicrosoft SQL ServerPercona Server for MongoDBTDengine
Specific characteristicsTDengineā„¢ 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
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