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DBMS > BoltDB vs. Databricks vs. etcd vs. Hive vs. TDengine

System Properties Comparison BoltDB vs. Databricks vs. etcd vs. Hive vs. TDengine

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonHive  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn embedded key-value store for Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A distributed reliable key-value storedata warehouse software for querying and managing large distributed datasets, built on HadoopTime Series DBMS and big data platform
Primary database modelKey-value storeDocument store
Relational DBMS
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.databricks.cometcd.io
github.com/­etcd-io/­etcd
hive.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Homedocs.tdengine.com
DeveloperDatabricksApache Software Foundation infoinitially developed by FacebookTDEngine, previously Taos Data
Initial release2013201320122019
Current release3.4, August 20193.1.3, April 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoJavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.noyesnono
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like DML and DDL statementsStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
JDBC
ODBC
Thrift
JDBC
RESTful HTTP API
Supported programming languagesGoPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes infouser defined functions and integration of map-reduceno
Triggersnoyes, watching key changesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonono
User concepts infoAccess controlnonoAccess rights for users, groups and rolesyes
More information provided by the system vendor
BoltDBDatabricksetcdHiveTDengine
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
TDengine™ 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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