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

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

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonFoundationDB  Xexclude from comparisonHugeGraph  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionA 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.A fast-speed and highly-scalable Graph DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apiapple.github.io/­foundationdbhugegraph.apache.org/­docs
DeveloperCloudflareFoundationDBBaiduTeradata
Initial release2018201320182005
Current release6.2.28, November 20200.9
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Unix
Linux
Data schemeschema-freeschema-free infosome layers support schemasyesFlexible 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 datenono infosome layers support typingyesyes
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 indexesnonoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnosupported in specific SQL layer onlynoyes
APIs and other access methodsHTTP REST
Proprietary protocol
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoin SQL-layer onlyasynchronous Gremlin script jobsR packages
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes 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 methodsnonovia hugegraph-sparkyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyLinearizable consistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoin SQL-layer onlyyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.noyesno
User concepts infoAccess controlnoUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVFoundationDBHugeGraphTeradata Aster
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