DBMS > Hawkular Metrics vs. NSDb vs. TimescaleDB
System Properties Comparison Hawkular Metrics vs. NSDb vs. TimescaleDB
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|Editorial information provided by DB-Engines|
|Name||Hawkular Metrics Xexclude from comparison||NSDb 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.||Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes||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||Timescale|
|Current release||2.6.0, February 2022|
|License Commercial or Open Source||Open Source Apache 2.0||Open Source Apache Version 2.0||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|
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|Implementation language||Java||Java, Scala||C|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||yes: int, bigint, decimal, string||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||all fields are automatically indexed||yes|
|SQL Support of SQL||no||SQL-like query language||yes full PostgreSQL SQL syntax|
|APIs and other access methods||HTTP REST||gRPC|
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||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding based on Cassandra||Sharding||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 hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency based on Cassandra|
Immediate Consistency based on Cassandra
|Eventual Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||Using Apache Lucene||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||no||fine grained access rights according to SQL-standard|
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