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 > Bangdb vs. H2 vs. Microsoft Azure SQL Database vs. RRDtool

System Properties Comparison Bangdb vs. H2 vs. Microsoft Azure SQL Database vs. RRDtool

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering with high compatibility to Microsoft SQL ServerIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitebangdb.comwww.h2database.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseoss.oetiker.ch/­rrdtool
Technical documentationdocs.bangdb.comwww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­azure-sqloss.oetiker.ch/­rrdtool/­doc
DeveloperSachin Sinha, BangDBThomas MuellerMicrosoftTobias Oetiker
Initial release2012200520101999
Current releaseBangDB 2.0, October 20212.2.220, July 2023V121.8.0, 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxAll OS with a Java VMhostedHP-UX
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesNumeric data only
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.nonoyesno infoExporting into and restoring from XML files possible
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesno
SQL infoSupport of SQLSQL like support with command line toolyesyesno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
in-process shared library
Pipes
Supported programming languagesC
C#
C++
Java
Python
Java.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsTransact SQLno
Triggersyes, Notifications (with Streaming only)yesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)With clustering: 2 database servers on different computers operate on identical copies of a databaseyes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes, multi-version concurrency control (MVCC)yesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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
BangdbH2Microsoft Azure SQL Database infoformerly SQL AzureRRDtool
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

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

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

Public Preview: New Azure SQL Database skills introduced to Microsoft Copilot in Azure | Azure updates
21 May 2024, azure.microsoft.com

Copilot in Azure SQL Database in Private Preview
27 March 2024, InfoQ.com

Microsoft unveils Copilot for Azure SQL Database
27 March 2024, InfoWorld

Azure SQL Database migration to OCI - resources estimation and migration approach
11 January 2024, Oracle

Why migrate Windows Server and SQL Server to Azure: ROI, innovation, and free offers
25 April 2024, Microsoft

provided by Google News

SQLi vulnerability in Cacti could lead to RCE (CVE-2023-51448)
9 January 2024, Help Net Security

Critical IP spoofing bug patched in Cacti
15 December 2022, The Daily Swig

How to install Cacti SNMP Monitor on Ubuntu
24 November 2017, TechRepublic

Installation Guide for Collectd and Collectd-Web to Monitor Server Resources in Linux
29 November 2017, Linux.com

Cacti servers under attack by attackers exploiting CVE-2022-46169
16 January 2023, Help Net Security

provided by Google News



Share this page

Featured Products

RaimaDB logo

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

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.

SingleStore logo

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

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

Present your product here