DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Firebase Realtime Database vs. IBM Db2 vs. Microsoft Azure Cosmos DB vs. Oracle Berkeley DB vs. TDengine

System Properties Comparison Firebase Realtime Database vs. IBM Db2 vs. Microsoft Azure Cosmos DB vs. Oracle Berkeley DB vs. TDengine

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Common in IBM host environments, 2 different versions for host and Windows/LinuxGlobally distributed, horizontally scalable, multi-model database serviceWidely used in-process key-value storeTime Series DBMS and big data platform
Primary database modelDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score123.05
Rank#9  Overall
#6  Relational DBMS
Score24.97
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2azure.microsoft.com/­services/­cosmos-dbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationfirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2learn.microsoft.com/­azure/­cosmos-dbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.tdengine.com
DeveloperGoogle infoacquired by Google 2014IBMMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleTDEngine, previously Taos Data
Initial release20121983 infohost version201419942019
Current release12.1, October 201618.1.40, May 20203.0, August 2022
License infoCommercial or Open Sourcecommercialcommercial infofree version is availablecommercialOpen Source infocommercial license availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesnoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLnoyesSQL-like query languageyes infoSQL interfaced based on SQLite is availableStandard SQL with extensions for time-series applications
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesJavaScriptnono
TriggersCallbacks are triggered when data changesyesJavaScriptyes infoonly for the SQL APIyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)yes infoImplicit feature of the cloud serviceSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelnoyes
More information provided by the system vendor
Firebase Realtime DatabaseIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBOracle Berkeley DBTDengine
Specific characteristicsTDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
News

Optimize Data Consolidation for Multi-Site Renewable Energy Operations
9 September 2024

Connect Power BI to TDengine
6 September 2024

Using Streams and Subscriptions for Alerting
5 September 2024

Solar Panel Monitoring: OPC UA Ingestion
2 September 2024

Time-Series Databases: A Game Changer for the Renewable Energy Industry
30 August 2024

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 partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Firebase Realtime DatabaseIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBOracle Berkeley DBTDengine
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Realtime vs Cloud Firestore: Which Firebase Database to Choose
8 March 2024, Appinventiv

Misconfigured Firebase instances leaked 19 million plaintext passwords
19 March 2024, BleepingComputer

Don't be like these 900+ websites and expose millions of passwords via Firebase
18 March 2024, The Register

Misconfigured firebase: A real-time cyber threat
18 January 2024, Atos

Google launches Firebase Genkit, a new open source framework for building AI-powered apps
14 May 2024, TechCrunch

provided by Google News

Db2 is a story worth telling, even if IBM won't
4 July 2024, The Register

Data migration strategies to Amazon RDS for Db2
15 May 2024, AWS Blog

Six new Db2 capabilities DBAs must try today with Db2 11.5.9
9 April 2024, IBM

Using Oracle Cloud Infrastructure (OCI) GoldenGate with Db2 for z Database
31 May 2024, Oracle

Precisely Supports Amazon RDS for Db2 Service with Real-Time Data Integration Capabilities
3 April 2024, precisely.com

provided by Google News

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, azure.microsoft.com

Public Preview: DiskANN vector indexing and search in Azure Cosmos DB NoSQL
21 May 2024, azure.microsoft.com

Public preview: Filtered vector search in vCore-based Azure Cosmos DB for MongoDB
24 April 2024, azure.microsoft.com

Public Preview: vCore-based Azure Cosmos DB for MongoDB cross-region disaster recovery (DR)
21 May 2024, azure.microsoft.com

Generally Available: Index Advisor in Azure Cosmos DB helps optimize your index policy for NoSQL queries
24 April 2024, azure.microsoft.com

provided by Google News

What is NoSQL (Not Only SQL database)?
28 February 2022, TechTarget

Margo I. Seltzer
18 August 2020, Berkman Klein Center

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADT Magazine

How to store financial market data for backtesting
26 January 2019, Towards Data Science

A complete beginners guide to installing a Bitcoin Full Node on Linux (2018 Edition)
3 May 2018, hackernoon.com

provided by Google News

TDengine Cloud released to developers
19 October 2022, App Developer Magazine

TDengine Brings Open Source Time-Series Database to Kubernetes
19 April 2023, Cloud Native Now

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

MindsDB is now the leading and fastest growing applied ML platform in the world
3 November 2022, PR Newswire

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

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

The data platform to build your intelligent applications.
Try it free.

RaimaDB logo

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

Neo4j logo

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

Present your product here