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DBMS > Amazon DocumentDB vs. BigObject vs. Newts vs. Prometheus vs. Quasardb

System Properties Comparison Amazon DocumentDB vs. BigObject vs. Newts vs. Prometheus vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigObject  Xexclude from comparisonNewts  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for real-time computations and queriesTime Series DBMS based on CassandraOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelDocument storeRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­documentdbbigobject.ioopennms.github.io/­newtsprometheus.ioquasar.ai
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bigobject.iogithub.com/­OpenNMS/­newts/­wikiprometheus.io/­docsdoc.quasar.ai/­master
DeveloperBigObject, Inc.OpenNMS Groupquasardb
Initial release20192015201420152009
Current release3.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaGoC++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes infointeger and binary
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.nononono infoImport of XML data possibleno
Secondary indexesyesyesnonoyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)fluentd
ODBC
RESTful HTTP API
HTTP REST
Java API
RESTful HTTP/JSON APIHTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoLuanonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on CassandraShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneselectable replication factor infobased on Cassandrayes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesnononoCryptographically strong user authentication and audit trail

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More resources
Amazon DocumentDBBigObjectNewtsPrometheusQuasardb
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