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DBMS > Bangdb vs. BoltDB vs. Hawkular Metrics vs. RocksDB vs. TDengine

System Properties Comparison Bangdb vs. BoltDB vs. Hawkular Metrics vs. RocksDB vs. TDengine

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBoltDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRocksDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAn embedded key-value store for Go.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable persistent key-value store optimized for fast storage (flash and RAM)Time Series DBMS and big data platform
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitebangdb.comgithub.com/­boltdb/­boltwww.hawkular.orgrocksdb.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.bangdb.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­facebook/­rocksdb/­wikidocs.tdengine.com
DeveloperSachin Sinha, BangDBCommunity supported by Red HatFacebook, Inc.TDEngine, previously Taos Data
Initial release20122013201420132019
Current releaseBangDB 2.0, October 20219.2.1, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoBSDOpen Source infoAGPL V3, also commercial editions available
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++GoJavaC++C
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxLinux
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesnoyes
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.nonononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnononono
SQL infoSupport of SQLSQL like support with command line toolnononoStandard SQL with extensions for time-series applications
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP RESTC++ API
Java API
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
GoGo
Java
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonononono
Triggersyes, Notifications (with Streaming only)noyes infovia Hawkular Alertingyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding infobased on Cassandrahorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneselectable replication factor infobased on Cassandrayesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoyes
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modenonoyes
User concepts infoAccess controlyes (enterprise version only)nononoyes
More information provided by the system vendor
BangdbBoltDBHawkular MetricsRocksDBTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
BangdbBoltDBHawkular MetricsRocksDBTDengine
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