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DBMS > Hawkular Metrics vs. RavenDB vs. Sequoiadb vs. TimescaleDB vs. YottaDB

System Properties Comparison Hawkular Metrics vs. RavenDB vs. Sequoiadb vs. TimescaleDB vs. YottaDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonRavenDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseNewSQL database with distributed OLTP and SQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast and solid embedded Key-value store
Primary database modelTime Series DBMSDocument storeDocument store
Relational DBMS
Time Series DBMSKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.hawkular.orgravendb.netwww.sequoiadb.comwww.timescale.comyottadb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideravendb.net/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.timescale.comyottadb.com/­resources/­documentation
DeveloperCommunity supported by Red HatHibernating RhinosSequoiadb Ltd.TimescaleYottaDB, LLC
Initial release20142010201320172001
Current release5.4, July 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#C++CC
Server operating systemsLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
LinuxLinux
OS X
Windows
Docker
Linux
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes infooid, date, timestamp, binary, regexnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nonoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like query language (RQL)SQL-like query languageyes infofull PostgreSQL SQL syntaxby using the Octo plugin
APIs and other access methodsHTTP REST.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
proprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyesJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia Hawkular Alertingyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replicationSource-replica replicationSource-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableDocument is locked during a transactionACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnoAuthorization levels configured per client per databasesimple password-based access controlfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Hawkular MetricsRavenDBSequoiadbTimescaleDBYottaDB
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