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DBMS > Hawkular Metrics vs. Oracle Berkeley DB vs. Oracle Coherence vs. TimescaleDB vs. ToroDB

System Properties Comparison Hawkular Metrics vs. Oracle Berkeley DB vs. Oracle Coherence vs. TimescaleDB vs. ToroDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTimescaleDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Widely used in-process key-value storeOracles in-memory data grid solutionA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value storeTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­java/­coherencewww.timescale.comgithub.com/­torodb/­server
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.timescale.com
DeveloperCommunity supported by Red HatOracle infooriginally developed by Sleepycat, which was acquired by OracleOracleTimescale8Kdata
Initial release20141994200720172016
Current release18.1.40, May 202014.1, August 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infocommercial license availablecommercialOpen Source infoApache 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)JavaCJava
Server operating systemsLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
All OS with a Java VMLinux
OS X
Windows
All OS with a Java 7 VM
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes infostring, integer, double, boolean, date, object_id
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.noyes infoonly with the Berkeley DB XML editionnoyesno
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availablenoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTJCache
JPA
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnononouser 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 Alertingyes infoonly for the SQL APIyes infoLive Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyes, with selectable consistency levelSource-replica replication with hot standby and reads on replicas infoSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDconfigurableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnonoauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Hawkular MetricsOracle Berkeley DBOracle CoherenceTimescaleDBToroDB
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