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DBMS > Apache Impala vs. MongoDB vs. TDengine vs. TerarkDB

System Properties Comparison Apache Impala vs. MongoDB vs. TDengine vs. TerarkDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMongoDB  Xexclude from comparisonTDengine  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureTime Series DBMS and big data platformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument storeTime Series DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteimpala.apache.orgwww.mongodb.comgithub.com/­taosdata/­TDengine
tdengine.com
github.com/­bytedance/­terarkdb
Technical documentationimpala.apache.org/­impala-docs.htmlwww.mongodb.com/­docs/­manualdocs.tdengine.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMongoDB, IncTDEngine, previously Taos DataByteDance, originally Terark
Initial release2013200920192016
Current release4.1.0, June 20226.0.7, June 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoAGPL V3, also commercial editions availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nono
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Implementation languageC++C++CC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesno
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 indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Atlas SQL InterfaceStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBC
ODBC
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JDBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCActionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptnono
Triggersnoyes infoin MongoDB Atlas onlyyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesyesno
More information provided by the system vendor
Apache ImpalaMongoDBTDengineTerarkDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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