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

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

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonHive  Xexclude from comparisonInfluxDB  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 HadoopDBMS for storing time series, events and metrics
Primary database modelKey-value storeDocument store
Relational DBMS
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
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
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.databricks.cometcd.io
github.com/­etcd-io/­etcd
hive.apache.orgwww.influxdata.com/­products/­influxdb-overview
Technical documentationdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Homedocs.influxdata.com/­influxdb
DeveloperDatabricksApache Software Foundation infoinitially developed by Facebook
Initial release2013201320122013
Current release3.4, August 20193.1.3, April 20222.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version 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 languageGoGoJavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
OS X infothrough Homebrew
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesNumeric data and Strings
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 statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
JDBC
ODBC
Thrift
HTTP API
JSON over UDP
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
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes infouser defined functions and integration of map-reduceno
Triggersnoyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version only
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 factorselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
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 datayesACIDnonono
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.nononoyes infoDepending on used storage engine
User concepts infoAccess controlnonoAccess rights for users, groups and rolessimple rights management via user accounts
More information provided by the system vendor
BoltDBDatabricksetcdHiveInfluxDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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