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DBMS > Amazon DocumentDB vs. Hawkular Metrics vs. Percona Server for MongoDB vs. TimescaleDB

System Properties Comparison Amazon DocumentDB vs. Hawkular Metrics vs. Percona Server for MongoDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeTime Series DBMSDocument storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.43
Rank#143  Overall
#23  Document stores
Score0.06
Rank#324  Overall
#29  Time Series DBMS
Score0.65
Rank#219  Overall
#33  Document stores
Score3.72
Rank#89  Overall
#5  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.hawkular.orgwww.percona.com/­software/­mongodb/­percona-server-for-mongodbwww.timescale.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmldocs.timescale.com
DeveloperCommunity supported by Red HatPerconaTimescale
Initial release2019201420152017
Current release3.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL Version 2Open Source infoApache 2.0
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 languageJavaC++C
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTproprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingyes, across time and space (hash partitioning) attributes
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 infobased on CassandraSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engineno
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBHawkular MetricsPercona Server for MongoDBTimescaleDB
Specific characteristicsTimescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosDevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersTransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsWith over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsTimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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More resources
Amazon DocumentDBHawkular MetricsPercona Server for MongoDBTimescaleDB
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