DBMS > Hawkular Metrics vs. Quasardb vs. TimescaleDB
System Properties Comparison Hawkular Metrics vs. Quasardb vs. TimescaleDB
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Hawkular Metrics Xexclude from comparison||Quasardb 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.||Distributed, high-performance timeseries database||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Time Series DBMS||Time Series DBMS||Time Series DBMS|
|Secondary database models||Relational DBMS|
|Developer||Community supported by Red Hat||quasardb||Timescale|
|Current release||3.13.3, April 2022||2.11.0, May 2023|
|License Commercial or Open Source||Open Source Apache 2.0||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||yes integer and binary||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||no||yes|
|Secondary indexes||no||yes with tags||yes|
|SQL Support of SQL||no||SQL-like query language||yes full PostgreSQL SQL syntax|
|APIs and other access methods||HTTP REST||HTTP API||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||Go|
|Server-side scripts Stored procedures||no||no||user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell|
|Triggers||yes via Hawkular Alerting||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding based on Cassandra||Sharding consistent hashing||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor based on Cassandra||Source-replica replication with selectable replication factor||Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||with Hadoop integration||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency based on Cassandra|
Immediate Consistency based on Cassandra
|Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes by using LevelDB||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes Transient mode||no|
|User concepts Access control||no||Cryptographically strong user authentication and audit trail||fine grained access rights according to SQL-standard|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news|
Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived ...
5 DevOps Tools for Logging and Monitoring
Interview with Tim Fox About Vert.x 3, the Original Reactive ...
Time Series Database : qu'est-ce que c'est, à quoi ça sert ?
provided by Google News
Quasar and PTC Establish a Data-Driven Partnership for IoT
Quasar Partners with PTC to Empower IoT Customers with High ...
Time Series Databases Software Market (2023-2030): Emerging Technologies, Business Models, and Future Dev
Cloud-Based Time Series Database Market [Adaptive Report] 2023 | International Markets and Trends by 2030
Dark matter halos measured around ancient quasars
provided by Google News
TimescaleDB Is a Vector Database Now, Too
TimescaleDB setzt nun auch auf Vektordatenbanken | heise online
Visualizing IoT Data at Scale With Hopara and TimescaleDB
InfluxDB Clustered targets on-premises time-series database deployments
New TDengine Benchmark Results Show Up to 37.0x Higher Query ...
provided by Google News
Rust Engineers (Multiple Openings) - Remote
Full Stack Developer
Senior Full Stack Developer
Financial Markets Data Specialist
Share this page