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DBMS > Amazon Redshift vs. Apache Druid vs. Apache Kylin vs. RocksDB vs. TDengine

System Properties Comparison Amazon Redshift vs. Apache Druid vs. Apache Kylin vs. RocksDB vs. TDengine

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Kylin  Xexclude from comparisonRocksDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Time Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­redshiftdruid.apache.orgkylin.apache.orgrocksdb.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­redshiftdruid.apache.org/­docs/­latest/­designkylin.apache.org/­docsgithub.com/­facebook/­rocksdb/­wikidocs.tdengine.com
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation and contributorsApache Software Foundation, originally contributed from eBay IncFacebook, Inc.TDEngine, previously Taos Data
Initial release20122012201520132019
Current release29.0.1, April 20243.1.0, July 20208.11.4, April 20243.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoBSDOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaC++C
Server operating systemshostedLinux
OS X
Unix
LinuxLinuxLinux
Windows
Data schemeyesyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesrestrictedyesyesnono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL for queryingANSI SQL for queries (using Apache Calcite)noStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
JDBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonono
Triggersnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
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.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoyes
More information provided by the system vendor
Amazon RedshiftApache DruidApache KylinRocksDBTDengine
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
Amazon RedshiftApache DruidApache KylinRocksDBTDengine
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