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DBMS > Apache Druid vs. CockroachDB vs. TDengine vs. Valentina Server vs. WakandaDB

System Properties Comparison Apache Druid vs. CockroachDB vs. TDengine vs. Valentina Server vs. WakandaDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCockroachDB  Xexclude from comparisonTDengine  Xexclude from comparisonValentina Server  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Time Series DBMS and big data platformObject-relational database and reports serverWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMSObject oriented DBMS
Secondary database modelsRelational 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
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitedruid.apache.orgwww.cockroachlabs.comgithub.com/­taosdata/­TDengine
tdengine.com
www.valentina-db.netwakanda.github.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.cockroachlabs.com/­docsdocs.tdengine.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwakanda.github.io/­doc
DeveloperApache Software Foundation and contributorsCockroach LabsTDEngine, previously Taos DataParadigma SoftwareWakanda SAS
Initial release20122015201919992012
Current release29.0.1, April 202423.1.1, May 20233.0, August 20225.7.52.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0, commercial license availableOpen Source infoAGPL V3, also commercial editions availablecommercialOpen Source infoAGPLv3, extended commercial license 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 languageJavaGoCC++, JavaScript
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supporteddynamic schemayesyesyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL for queryingyes, wire compatible with PostgreSQLStandard SQL with extensions for time-series applicationsyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJDBC
RESTful HTTP API
ODBCRESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
JavaScript
Server-side scripts infoStored proceduresnononoyesyes
Triggersnonoyes, via alarm monitoringyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication using RAFTyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlyesfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Apache DruidCockroachDBTDengineValentina ServerWakandaDB
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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More resources
Apache DruidCockroachDBTDengineValentina ServerWakandaDB
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