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DBMS > Bangdb vs. Cloudflare Workers KV vs. GigaSpaces vs. Lovefield vs. Yaacomo

System Properties Comparison Bangdb vs. Cloudflare Workers KV vs. GigaSpaces vs. Lovefield vs. Yaacomo

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGigaSpaces  Xexclude from comparisonLovefield  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable relational database for web apps written in pure JavaScriptOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSGraph DBMS
Search engine
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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitebangdb.comwww.cloudflare.com/­developer-platform/­workers-kvwww.gigaspaces.comgoogle.github.io/­lovefieldyaacomo.com
Technical documentationdocs.bangdb.comdevelopers.cloudflare.com/­kv/­apidocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperSachin Sinha, BangDBCloudflareGigaspaces TechnologiesGoogleQ2WEB GmbH
Initial release20122018200020142009
Current releaseBangDB 2.0, October 202115.5, September 20202.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercial
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 languageC, C++Java, C++, .NetJavaScript
Server operating systemsLinuxhostedLinux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAndroid
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyesyes
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.nonono infoXML can be used for describing objects metadatanono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-99 for query and DML statementsSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP REST
Proprietary protocol
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C++
Java
Python
Scala
JavaScript
Server-side scripts infoStored proceduresnonoyesno
Triggersyes, Notifications (with Streaming only)noyes, event driven architectureUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
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 modenoyesyes infousing MemoryDByes
User concepts infoAccess controlyes (enterprise version only)Role-based access controlnofine grained access rights according to SQL-standard

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More resources
BangdbCloudflare Workers KVGigaSpacesLovefieldYaacomo
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