DBMS > Hawkular Metrics vs. MongoDB vs. TimescaleDB
System Properties Comparison Hawkular Metrics vs. MongoDB vs. TimescaleDB
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|Editorial information provided by DB-Engines|
|Name||Hawkular Metrics Xexclude from comparison||MongoDB Xexclude from comparison||TimescaleDB Xexclude from comparison|
|Description||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||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Time Series DBMS||Document store||Time Series DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
|Developer||Community supported by Red Hat||MongoDB, Inc||Timescale|
|Current release||6.0.1, August 2022||2.6.0, February 2022|
|License Commercial or Open Source||Open Source Apache 2.0||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.|
|Server operating systems||Linux|
|Data scheme||schema-free||schema-free Although 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.||yes|
|Typing predefined data types such as float or date||yes||yes string, integer, double, decimal, boolean, date, object_id, geospatial||numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes|
|SQL Support of SQL||no||Read-only SQL queries via the MongoDB Connector for BI||yes full PostgreSQL SQL syntax|
|APIs and other access methods||HTTP REST||proprietary protocol using JSON||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||Go|
|Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||yes via Hawkular Alerting||yes in MongoDB Atlas only||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding based on Cassandra||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor based on Cassandra||Multi-Source deployments with MongoDB Atlas Global Clusters|
|Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency based on Cassandra|
Immediate Consistency based on Cassandra
Immediate Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||Multi-document ACID Transactions with snapshot isolation||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes optional, enabled by default||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes In-memory storage engine introduced with MongoDB version 3.2||no|
|User concepts Access control||no||Access rights for users and roles||fine grained access rights according to SQL-standard|
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