DBMS > Apache IoTDB vs. MongoDB vs. OceanBase
System Properties Comparison Apache IoTDB vs. MongoDB vs. OceanBase
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|Editorial information provided by DB-Engines|
|Name||Apache IoTDB Xexclude from comparison||MongoDB Xexclude from comparison||OceanBase Xexclude from comparison|
|Description||An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||A distributed, high available RDBMS compatible with Oracle and MySQL|
|Primary database model||Time Series DBMS||Document store||Relational DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Vector DBMS currently available in the MongoDB Atlas cloud service only
Wide column store
|Developer||Apache Software Foundation||MongoDB, Inc||OceanBase previously Alibaba and Ant Group|
|Current release||1.1.0, April 2023||6.0.7, June 2023||3.2.3, March 2022|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source Commercial license available|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|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.|
|Server operating systems||All OS with a Java VM (>= 1.8)||Linux|
|Data scheme||yes||schema-free Although 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.||yes|
|Typing predefined data types such as float or date||yes||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|SQL Support of SQL||SQL-like query language||Read-only SQL queries via the MongoDB Atlas SQL Interface||yes|
|APIs and other access methods||JDBC|
proprietary protocol using JSON
Oracle Call Interface (OCI)
Proprietary native API
|Supported programming languages||C|
|Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Ada in MySQL-compatible model|
C in Oracle- and MySQL- compatible models
C++ in Oracle- and MySQL- compatible models
D in MySQL-compatible model
Delphi in MySQL-compatible model
Eiffel in MySQL-compatible model
Erlang in MySQL-compatible model
Haskell in MySQL-compatible model
Java in Oracle- and MySQL- compatible models
Objective-C in MySQL-compatible model
OCaml in MySQL-compatible model
Perl in MySQL-compatible model
PHP in MySQL-compatible model
Python in MySQL-compatible model
Ruby in MySQL-compatible model
Scheme in MySQL-compatible model
Tcl in MySQL-compatible model
|Triggers||yes||yes in MongoDB Atlas only||yes|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning (by time range) + vertical partitioning (by deviceId)||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||horizontal partitioning (by hash, key, range, range columns, list, and list columns)|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas||Multi-Source deployments with MongoDB Atlas Global Clusters|
|Multi-source replication using Paxos|
|MapReduce Offers an API for user-defined Map/Reduce methods||Integration with Hadoop and Spark||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Strong Consistency with Raft
|Eventual Consistency can be individually decided for each read operation|
Immediate Consistency default behaviour
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||Multi-document ACID Transactions with snapshot isolation||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes optional, enabled by default||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes In-memory storage engine introduced with MongoDB version 3.2|
|User concepts Access control||yes||Access rights for users and roles||Access rights for users, groups and roles according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|OceanBase Database is the world’s only native distributed database that has set new...|
|Competitive advantages||Built around the flexible document data model and unified API, MongoDB is a developer...|
|High Availability : The five IDCs across three sites disaster recovery solution sets...|
|Typical application scenarios||AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...|
|Key customers||ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|OceanBase Database has helped over 400 customers across industries upgrade their...|
|Market metrics||Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...|
|TPC-C No.1 Performance , achieved a result of 707.35 million tpmC in the TPC-C benchmark...|
|Licensing and pricing models||MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...|
|Mulan PubL v2 license for open source community edition. Commercial license for enterprise...|
We invite representatives of system vendors to contact us for updating and extending the system information,
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|3rd parties||Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.|
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CData: Connect to Big Data & NoSQL through standard Drivers.
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