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DBMS > BoltDB vs. Cloudflare Workers KV vs. Databricks vs. etcd vs. Hive

System Properties Comparison BoltDB vs. Cloudflare Workers KV vs. Databricks vs. etcd vs. Hive

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonHive  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.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 Hadoop
Primary database modelKey-value storeKey-value storeDocument store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.39
Rank#274  Overall
#39  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
Websitegithub.com/­boltdb/­boltwww.cloudflare.com/­developer-platform/­workers-kvwww.databricks.cometcd.io
github.com/­etcd-io/­etcd
hive.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperCloudflareDatabricksApache Software Foundation infoinitially developed by Facebook
Initial release2013201820132012
Current release3.4, August 20193.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedhostedFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenononoyes
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.nonoyesno
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnonowith Databricks SQLnoSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
JDBC
ODBC
Thrift
Supported programming languagesGoC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Python
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
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesnoyes infouser defined functions and integration of map-reduce
Triggersnonoyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnono
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.nononono
User concepts infoAccess controlnonoAccess rights for users, groups and roles
More information provided by the system vendor
BoltDBCloudflare Workers KVDatabricksetcdHive
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BoltDBCloudflare Workers KVDatabricksetcdHive
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