DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DynamoDB vs. Bangdb vs. InfluxDB vs. InterSystems Caché vs. SiriDB

System Properties Comparison Amazon DynamoDB vs. Bangdb vs. InfluxDB vs. InterSystems Caché vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBangdb  Xexclude from comparisonInfluxDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSiriDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudConverged and high performance database for device data, events, time series, document and graphDBMS for storing time series, events and metricsA multi-model DBMS and application serverOpen Source Time Series DBMS
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Time Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infowith GEO packageDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­dynamodbbangdb.comwww.influxdata.com/­products/­influxdb-overviewwww.intersystems.com/­products/­cachesiridb.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.bangdb.comdocs.influxdata.com/­influxdbdocs.intersystems.comdocs.siridb.com
DeveloperAmazonSachin Sinha, BangDBInterSystemsCesbit
Initial release20122012201319972017
Current releaseBangDB 2.0, October 20212.7.6, April 20242018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBSD 3Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++GoC
Server operating systemshostedLinuxLinux
OS X infothrough Homebrew
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsNumeric data and Stringsyesyes infoNumeric data
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
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLnoSQL like support with command line toolSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIProprietary protocol
RESTful HTTP API
HTTP API
JSON over UDP
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Java
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononoyesno
Triggersyes infoby integration with AWS Lambdayes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infoin enterprise version onlySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, 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 modeyes infoDepending on used storage engineyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)simple rights management via user accountsAccess rights for users, groups and rolessimple rights management via user accounts
More information provided by the system vendor
Amazon DynamoDBBangdbInfluxDBInterSystems CachéSiriDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Introduction to Apache Iceberg
9 May 2024

Converting Timestamp to Date in Java
7 May 2024

A Detailed Guide to C# TimeSpan
2 May 2024

The Final Frontier: Using InfluxDB on the International Space Station
30 April 2024

Getting the Current Time in C#: A Guide
26 April 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
Amazon DynamoDBBangdbInfluxDBInterSystems CachéSiriDB
DB-Engines blog posts

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

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

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

Using Elasticsearch to Offload Search and Analytics from DynamoDB: Pros and Cons
10 May 2024, hackernoon.com

How Heroku reduced their operational overhead by migrating their 30 TB self-managed database from Amazon EC2 to ...
9 May 2024, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20 March 2024, AWS Blog

Bulk update Amazon DynamoDB tables with AWS Step Functions | Amazon Web Services
20 March 2024, AWS Blog

A new and improved AWS CDK construct for Amazon DynamoDB tables | Amazon Web Services
31 January 2024, AWS Blog

provided by Google News

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, businesswire.com

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
5 April 2024, VentureBeat

provided by Google News

Defense Health Agency Awards Four Points Technology $39 Million for Intersystems Software Licenses and Maintenance
21 September 2023, ClearanceJobs

AWS, GCP, Oracle, Azure, SAP Lead Cloud DBMS Market: Gartner
12 February 2022, CRN

Announcing IBM Spectrum Sentinel: Building a Cyber Resilient Future
24 June 2022, IBM

Associative Data Modeling Demystified - Part1 - DataScienceCentral.com
9 July 2016, Data Science Central

Nearly three years on from Cambridge's Epic go-live
23 August 2017, Digital Health

provided by Google News

SiriDB tijdreeks database analyseert time series data vanuit elke bron
22 January 2017, Dutch IT Channel

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

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB 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 database to transact, analyze and contextualize your data in real time.
Try it today.

Neo4j logo

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

Present your product here