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DBMS > Datastax Enterprise vs. Hawkular Metrics vs. MongoDB

System Properties Comparison Datastax Enterprise vs. Hawkular Metrics vs. MongoDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelWide column storeTime Series DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Search engine
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.67
Rank#44  Overall
#4  Wide column stores
Score0.06
Rank#312  Overall
#27  Time Series DBMS
Score443.48
Rank#5  Overall
#1  Document stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.hawkular.orgwww.mongodb.com
Technical documentationdocs.datastax.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.mongodb.com/­manual
DeveloperDataStaxCommunity supported by Red HatMongoDB, Inc
Initial release201120142009
Current release6.8, April 20204.2.8, June 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP RESTproprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
Server-side scripts infoStored proceduresnonoJavaScript
Triggersyesyes infovia Hawkular Alertingyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infobased on CassandraSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factor infobased on CassandraMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users can be defined per objectnoAccess rights for users and roles
More information provided by the system vendor
Datastax EnterpriseHawkular MetricsMongoDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
The MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsAnnual subscription
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Datastax EnterpriseHawkular MetricsMongoDB
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