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DBMS > Amazon DynamoDB vs. Bangdb vs. Couchbase vs. LevelDB vs. RRDtool

System Properties Comparison Amazon DynamoDB vs. Bangdb vs. Couchbase vs. LevelDB vs. RRDtool

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBangdb  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonLevelDB  Xexclude from comparisonRRDtool  Xexclude from comparison
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 graphA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesIndustry 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
Key-value store
Document store
Graph DBMS
Time Series DBMS
Document storeKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMSKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score71.85
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.06
Rank#353  Overall
#48  Document stores
#36  Graph DBMS
#35  Time Series DBMS
Score17.10
Rank#34  Overall
#5  Document stores
Score2.39
Rank#110  Overall
#18  Key-value stores
Score1.68
Rank#137  Overall
#11  Time Series DBMS
Websiteaws.amazon.com/­dynamodbbangdb.comwww.couchbase.comgithub.com/­google/­leveldboss.oetiker.ch/­rrdtool
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.bangdb.comdocs.couchbase.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdoss.oetiker.ch/­rrdtool/­doc
DeveloperAmazonSachin Sinha, BangDBCouchbase, Inc.GoogleTobias Oetiker
Initial release20122012201120111999
Current releaseBangDB 2.0, October 2021Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20231.23, February 20211.8.0, 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBSD 3Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoBSDOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C, C++, Go and ErlangC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedLinuxLinux
OS X
Windows
Illumos
Linux
OS X
Windows
HP-UX
Linux
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesnoNumeric 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.nonono infoExporting into and restoring from XML files possible
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesnono
SQL infoSupport of SQLnoSQL like support with command line toolSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesnono
APIs and other access methodsRESTful HTTP APIProprietary protocol
RESTful HTTP API
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
in-process shared library
Pipes
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
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 proceduresnonoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++nono
Triggersyes infoby integration with AWS Lambdayes, Notifications (with Streaming only)yes infovia the TAP protocolnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmAutomatic Shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication infoincluding cross data center replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistencynone
Foreign keys infoReferential integritynonononono
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 regionACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes infowith automatic compression on writesyes
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 infoEphemeral bucketsyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.nono

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More resources
Amazon DynamoDBBangdbCouchbase infoOriginally called MembaseLevelDBRRDtool
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