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DBMS > Amazon DocumentDB vs. Bangdb vs. etcd vs. RavenDB

System Properties Comparison Amazon DocumentDB vs. Bangdb vs. etcd vs. RavenDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBangdb  Xexclude from comparisonetcd  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceConverged and high performance database for device data, events, time series, document and graphA distributed reliable key-value storeOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­documentdbbangdb.cometcd.io
github.com/­etcd-io/­etcd
ravendb.net
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bangdb.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
ravendb.net/­docs
DeveloperSachin Sinha, BangDBHibernating Rhinos
Initial release201920122010
Current releaseBangDB 2.0, October 20213.4, August 20195.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++GoC#
Server operating systemshostedLinuxFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsnono
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
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLnoSQL like support with command line toolnoSQL-like query language (RQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol
RESTful HTTP API
gRPC
JSON over HTTP
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyes
Triggersnoyes, Notifications (with Streaming only)yes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor, Knob for CAP (enterprise version only)Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
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 modeno
User concepts infoAccess controlAccess rights for users and rolesyes (enterprise version only)noAuthorization levels configured per client per database

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More resources
Amazon DocumentDBBangdbetcdRavenDB
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