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DBMS > Dolt vs. EJDB vs. PieCloudDB vs. Prometheus vs. TDengine

System Properties Comparison Dolt vs. EJDB vs. PieCloudDB vs. Prometheus vs. TDengine

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEJDB  Xexclude from comparisonPieCloudDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A cloud-native analytic database platform with new technologoy for elastic MPPOpen-source Time Series DBMS and monitoring systemTime Series DBMS and big data platform
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.25
Rank#304  Overall
#138  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­Softmotions/­ejdbwww.openpie.comprometheus.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.dolthub.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdprometheus.io/­docsdocs.tdengine.com
DeveloperDoltHub IncSoftmotionsOpenPieTDEngine, previously Taos Data
Initial release2018201220152019
Current release2.1, January 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2commercialOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCGoC
Server operating systemsLinux
macOS
Windows
server-lesshostedLinux
Windows
Linux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesNumeric data onlyyes
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.nono infoImport of XML data possibleno
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyesnoyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsCLI Client
HTTP REST
in-process shared libraryCLI Client
JDBC
ODBC
RESTful HTTP/JSON APIJDBC
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
PL/SQL
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenouser defined functionsnono
Triggersyesnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.noneyesyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.no
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoUser Roles and pluggable authentication with full SQL Standardnoyes
More information provided by the system vendor
DoltEJDBPieCloudDBPrometheusTDengine
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more

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More resources
DoltEJDBPieCloudDBPrometheusTDengine
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