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DBMS > Amazon DocumentDB vs. LevelDB vs. TDengine vs. YottaDB

System Properties Comparison Amazon DocumentDB vs. LevelDB vs. TDengine vs. YottaDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonLevelDB  Xexclude from comparisonTDengine  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTime Series DBMS and big data platformA fast and solid embedded Key-value store
Primary database modelDocument storeKey-value storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaws.amazon.com/­documentdbgithub.com/­google/­leveldbgithub.com/­taosdata/­TDengine
tdengine.com
yottadb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.tdengine.comyottadb.com/­resources/­documentation
DeveloperGoogleTDEngine, previously Taos DataYottaDB, LLC
Initial release2019201120192001
Current release1.23, February 20213.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
Windows
Docker
Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesnonono
SQL infoSupport of SQLnonoStandard SQL with extensions for time-series applicationsby using the Octo plugin
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
RESTful HTTP API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonono
Triggersnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesnoyesUsers and groups based on OS-security mechanisms
More information provided by the system vendor
Amazon DocumentDBLevelDBTDengineYottaDB
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
Amazon DocumentDBLevelDBTDengineYottaDB
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