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DBMS > Bangdb vs. Cloudflare Workers KV vs. FoundationDB vs. Teradata Aster

System Properties Comparison Bangdb vs. Cloudflare Workers KV vs. FoundationDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonFoundationDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be 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.Ordered key-value store. Core features are complimented by layers.Platform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational 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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Websitebangdb.comwww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­apple/­foundationdb
Technical documentationdocs.bangdb.comdevelopers.cloudflare.com/­kv/­apiapple.github.io/­foundationdb
DeveloperSachin Sinha, BangDBCloudflareFoundationDBTeradata
Initial release2012201820132005
Current releaseBangDB 2.0, October 20216.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++
Server operating systemsLinuxhostedLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeschema-free infosome layers support schemasFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnono infosome layers support typingyes
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.nonoyes infoin Aster File Store
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnonoyes
SQL infoSupport of SQLSQL like support with command line toolnosupported in specific SQL layer onlyyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoin SQL-layer onlyR packages
Triggersyes, Notifications (with Streaming only)nonono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyLinearizable consistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
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 modenono
User concepts infoAccess controlyes (enterprise version only)nofine grained access rights according to SQL-standard

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More resources
BangdbCloudflare Workers KVFoundationDBTeradata Aster
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