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DBMS > Apache Druid vs. Cubrid vs. Elasticsearch vs. EsgynDB vs. TDengine

System Properties Comparison Apache Druid vs. Cubrid vs. Elasticsearch vs. EsgynDB vs. TDengine

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCubrid  Xexclude from comparisonElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionTime Series DBMS and big data platform
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitedruid.apache.orgcubrid.com (korean)
cubrid.org (english)
www.elastic.co/­elasticsearchwww.esgyn.cngithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdruid.apache.org/­docs/­latest/­designcubrid.org/­manualswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.tdengine.com
DeveloperApache Software Foundation and contributorsCUBRID Corporation, CUBRID FoundationElasticEsgynTDEngine, previously Taos Data
Initial release20122008201020152019
Current release29.0.1, April 202411.0, January 20218.6, January 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoElastic LicensecommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, JavaJavaC++, JavaC
Server operating systemsLinux
OS X
Unix
Linux
Windows
All OS with a Java VMLinuxLinux
Windows
Data schemeyes infoschema-less columns are supportedyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
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.nonononono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLSQL for queryingyesSQL-like query languageyesStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoJava Stored ProceduresyesJava Stored Proceduresno
Triggersnoyesyes infoby using the 'percolation' featurenoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyesMulti-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nonoMemcached and Redis integrationno
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-standardyes
More information provided by the system vendor
Apache DruidCubridElasticsearchEsgynDBTDengine
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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More resources
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