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DBMS > Hawkular Metrics vs. HugeGraph vs. Lovefield vs. TimescaleDB vs. TimesTen

System Properties Comparison Hawkular Metrics vs. HugeGraph vs. Lovefield vs. TimescaleDB vs. TimesTen

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSGraph DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.hawkular.orggithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefieldwww.timescale.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.timescale.comdocs.oracle.com/­database/­timesten-18.1
DeveloperCommunity supported by Red HatBaiduGoogleTimescaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20142018201420171998
Current release0.92.1.12, February 20172.15.0, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptC
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nononoyesno
Secondary indexesnoyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsHTTP RESTJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
Python
Ruby
Groovy
Java
Python
JavaScript.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellPL/SQL
Triggersyes infovia Hawkular AlertingnoUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBasenoneSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoedges in graphyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBnoyes
User concepts infoAccess controlnoUsers, roles and permissionsnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Hawkular MetricsHugeGraphLovefieldTimescaleDBTimesTen
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