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DBMS > Bangdb vs. Hawkular Metrics vs. Memcached vs. TimescaleDB vs. UniData,UniVerse

System Properties Comparison Bangdb vs. Hawkular Metrics vs. Memcached vs. TimescaleDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMemcached  Xexclude from comparisonTimescaleDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory key-value store, originally intended for cachingA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSKey-value storeTime Series DBMSMultivalue DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitebangdb.comwww.hawkular.orgwww.memcached.orgwww.timescale.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.bangdb.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­memcached/­memcached/­wikidocs.timescale.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperSachin Sinha, BangDBCommunity supported by Red HatDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTimescaleRocket Software
Initial release20122014200320171985
Current releaseBangDB 2.0, October 20211.6.25, March 20242.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoBSD licenseOpen Source infoApache 2.0commercial
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 languageC, C++JavaCCC
Server operating systemsLinuxLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesoptional
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.nonoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnonoyesyes
SQL infoSupport of SQLSQL like support with command line toolnonoyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP RESTProprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Java
Python
Go
Java
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
Basic infoU2 Basic
C
Java
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 shellyes
Triggersyes, Notifications (with Streaming only)yes infovia Hawkular Alertingnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on Cassandranoneyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on Cassandranone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication with hot standby and reads on replicas infoSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenono
User concepts infoAccess controlyes (enterprise version only)noyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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BangdbHawkular MetricsMemcachedTimescaleDBUniData,UniVerse
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