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DBMS > Bangdb vs. Cloudflare Workers KV vs. Geode vs. mSQL

System Properties Comparison Bangdb vs. Cloudflare Workers KV vs. Geode vs. mSQL

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGeode  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websitebangdb.comwww.cloudflare.com/­developer-platform/­workers-kvgeode.apache.orghughestech.com.au/­products/­msql
Technical documentationdocs.bangdb.comdevelopers.cloudflare.com/­kv/­apigeode.apache.org/­docs
DeveloperSachin Sinha, BangDBCloudflareOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hughes Technologies
Initial release2012201820021994
Current releaseBangDB 2.0, October 20211.1, February 20174.4, October 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC
Server operating systemsLinuxhostedAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialnonoyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query language (OQL)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP REST
Proprietary protocol
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersyes, Notifications (with Streaming only)noyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesno
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyesno
User concepts infoAccess controlyes (enterprise version only)Access rights per client and object definableno

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More resources
BangdbCloudflare Workers KVGeodemSQL infoMini SQL
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