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DBMS > BoltDB vs. DuckDB vs. eXtremeDB vs. Hive vs. Yanza

System Properties Comparison BoltDB vs. DuckDB vs. eXtremeDB vs. Hive vs. Yanza

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDuckDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHive  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embedded key-value store for Go.An embeddable, in-process, column-oriented SQL OLAP RDBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringdata warehouse software for querying and managing large distributed datasets, built on HadoopTime Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitegithub.com/­boltdb/­boltduckdb.orgwww.mcobject.comhive.apache.orgyanza.com
Technical documentationduckdb.org/­docswww.mcobject.com/­docs/­extremedb.htmcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperMcObjectApache Software Foundation infoinitially developed by FacebookYanza
Initial release20132018200120122015
Current release0.10, February 20248.2, 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C and C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessAIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VMWindows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 infosupport of XML interfaces availableno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesyes infowith the option: eXtremeSQLSQL-like DML and DDL statementsno
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP API
Supported programming languagesGoC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyesyes infouser defined functions and integration of map-reduceno
Triggersnonoyes infoby defining eventsnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning / shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and rolesno
More information provided by the system vendor
BoltDBDuckDBeXtremeDBHiveYanza
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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BoltDBDuckDBeXtremeDBHiveYanza
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