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DBMS > Blueflood vs. ClickHouse vs. IRONdb vs. MongoDB vs. Oracle Rdb

System Properties Comparison Blueflood vs. ClickHouse vs. IRONdb vs. MongoDB vs. Oracle Rdb

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonClickHouse  Xexclude from comparisonIRONdb  Xexclude from comparisonMongoDB  Xexclude from comparisonOracle Rdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable TimeSeries DBMS based on CassandraA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMSSpatial 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score16.34
Rank#38  Overall
#23  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websiteblueflood.ioclickhouse.comwww.circonus.com/solutions/time-series-database/www.mongodb.comwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiclickhouse.com/­docsdocs.circonus.com/irondb/category/getting-startedwww.mongodb.com/­docs/­manualwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperRackspaceClickhouse Inc.Circonus LLC.MongoDB, IncOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20132016201720091984
Current releasev24.4.1.2088-stable, May 2024V0.10.20, January 20186.0.7, June 20237.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageJavaC++C and C++C++
Server operating systemsLinux
OS X
FreeBSD
Linux
macOS
LinuxLinux
OS X
Solaris
Windows
HP Open VMS
Data schemepredefined schemeyesschema-freeschema-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.Flexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLnoClose to ANSI SQL (SQL/JSON + extensions)SQL-like query language (Circonus Analytics Query Language: CAQL)Read-only SQL queries via the MongoDB Atlas SQL Interfaceyes
APIs and other access methodsHTTP RESTgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP APIGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Actionscript 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
Server-side scripts infoStored proceduresnoyesyes, in LuaJavaScript
Triggersnononoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrakey based and customAutomatic, metric affinity per nodeSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.configurable replication factor, datacenter awareMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integritynononono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoMulti-document ACID Transactions with snapshot isolationyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlnoAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.noAccess rights for users and roles
More information provided by the system vendor
BluefloodClickHouseIRONdbMongoDBOracle Rdb
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» 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
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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
3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

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

More resources
BluefloodClickHouseIRONdbMongoDBOracle Rdb
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