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DBMS > BoltDB vs. Cloudflare Workers KV vs. Spark SQL vs. SwayDB

System Properties Comparison BoltDB vs. Cloudflare Workers KV vs. Spark SQL vs. SwayDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  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.Spark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value storeKey-value storeRelational DBMSKey-value store
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
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitegithub.com/­boltdb/­boltwww.cloudflare.com/­developer-platform/­workers-kvspark.apache.org/­sqlswaydb.simer.au
Technical documentationdevelopers.cloudflare.com/­kv/­apispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCloudflareApache Software FoundationSimer Plaha
Initial release2013201820142018
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesno
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.nononono
Secondary indexesnononono
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
Supported programming languagesGoC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnonono

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More resources
BoltDBCloudflare Workers KVSpark SQLSwayDB
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