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DBMS > CrateDB vs. Hawkular Metrics vs. MongoDB vs. Teradata Aster vs. TimescaleDB

System Properties Comparison CrateDB vs. Hawkular Metrics vs. MongoDB vs. Teradata Aster vs. TimescaleDB

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMongoDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionDistributed Date Store based on LuceneHawkular 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 infrastructurePlatform for big data analytics on multistructured data sources and typesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS
Search engine
Time Series DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Time Series DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.90
Rank#186  Overall
#91  Relational DBMS
#11  Search engines
Score0.06
Rank#324  Overall
#29  Time Series DBMS
Score496.50
Rank#5  Overall
#1  Document stores
Score3.72
Rank#89  Overall
#5  Time Series DBMS
Websitecrate.iowww.hawkular.orgwww.mongodb.comwww.timescale.com
Technical documentationcrate.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.mongodb.com/­manualdocs.timescale.com
DeveloperCrateCommunity supported by Red HatMongoDB, IncTeradataTimescale
Initial release20132014200920052017
Current release5.0, July 2021
License infoCommercial or Open SourceOpen SourceOpen 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.commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
  • 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.
Implementation languageJavaJavaC++C
Server operating systemsAll OS with a Java 7 (and higher) VMLinux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-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.Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesnumerics, 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.nonoyes infoin Aster File Storeyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraintsnoRead-only SQL queries via the MongoDB Connector for BIyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HTTP RESTproprietary protocol using JSONADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
Go
Java
Python
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C
C#
C++
Java
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoJavaScriptR packagesuser 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 Alertingyes infoin MongoDB Atlas onlynoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on CassandraMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-memory storage engine introduced with MongoDB version 3.2nono
User concepts infoAccess controlrights management via user accountsnoAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBHawkular MetricsMongoDBTeradata AsterTimescaleDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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More resources
CrateDBHawkular MetricsMongoDBTeradata AsterTimescaleDB
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