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DBMS > BigObject vs. Hawkular Metrics vs. TimesTen

System Properties Comparison BigObject vs. Hawkular Metrics vs. TimesTen

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#332  Overall
#147  Relational DBMS
Score0.01
Rank#371  Overall
#39  Time Series DBMS
Score1.26
Rank#164  Overall
#76  Relational DBMS
Websitebigobject.iowww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.bigobject.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperBigObject, Inc.Community supported by Red HatOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201520141998
Current releaseRelease 22.1
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo
Java
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresLuanoPL/SQL
Triggersnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
BigObjectHawkular MetricsTimesTen
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