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DBMS > Apache Impala vs. STSdb vs. TDengine vs. WakandaDB

System Properties Comparison Apache Impala vs. STSdb vs. TDengine vs. WakandaDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonSTSdb  Xexclude from comparisonTDengine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS and big data platformWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSKey-value storeTime Series DBMSObject oriented DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websiteimpala.apache.orggithub.com/­STSSoft/­STSdb4github.com/­taosdata/­TDengine
tdengine.com
wakanda.github.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.tdengine.comwakanda.github.io/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSTS Soft SCTDEngine, previously Taos DataWakanda SAS
Initial release2013201120192012
Current release4.1.0, June 20224.0.8, September 20153.0, August 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPLv2, commercial license availableOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPLv3, extended commercial license 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#CC++, JavaScript
Server operating systemsLinuxWindowsLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yesyes
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnoStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBC
ODBC
.NET Client APIJDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes
Triggersnonoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyesyes
More information provided by the system vendor
Apache ImpalaSTSdbTDengineWakandaDB
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 ImpalaSTSdbTDengineWakandaDB
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