DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > 4D vs. Apache Pinot vs. Atos Standard Common Repository vs. IRONdb vs. Tkrzw

System Properties Comparison 4D vs. Apache Pinot vs. Atos Standard Common Repository vs. IRONdb vs. Tkrzw

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIRONdb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.4d.compinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.circonus.com/solutions/time-series-database/dbmx.net/­tkrzw
Technical documentationdeveloper.4d.comdocs.pinot.apache.orgdocs.circonus.com/irondb/category/getting-started
Developer4D, IncApache Software Foundation and contributorsAtos Convergence CreatorsCirconus LLC.Mikio Hirabayashi
Initial release19842015201620172020
Current releasev20, April 20231.0.0, September 20231703V0.10.20, January 20180.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0
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 languageJavaJavaC and C++C++
Server operating systemsOS X
Windows
All OS with a Java JDK11 or higherLinuxLinuxLinux
macOS
Data schemeyesyesSchema and schema-less with LDAP viewsschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyes infotext, numeric, histogramsno
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.yesyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languagenoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCLDAPHTTP API
Supported programming languages4D proprietary IDE
PHP
Go
Java
Python
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes, in Luano
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infocell divisionAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno
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.noyesnoyes infousing specific database classes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationnono

More information provided by the system vendor

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
4D infoformer name: 4th DimensionApache PinotAtos Standard Common RepositoryIRONdbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

StarTree broadly enhances Apache Pinot-based analytics platform
8 May 2024, SiliconANGLE News

StarTree Finds Apache Pinot the Right Vintage for IT Observability
8 May 2024, Datanami

StarTree Makes Observability Case for Apache Pinot Database
8 May 2024, DevOps.com

Open source Apache Pinot advances as StarTree boosts real-time analytics and observability
8 May 2024, VentureBeat

Real-Time Analytics for Mobile App Crashes using Apache Pinot
2 November 2023, Uber

provided by Google News

Application observability firm Apica buys telemetry data startup Circonus and adds more funding
21 February 2024, SiliconANGLE News

Apica Acquires Telemetry Data Management Pioneer Circonus And Lands New Funding
22 February 2024, Datanami

Apica gets $6 million in funding and buys Circonus -
21 February 2024, Enterprise Times

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here