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DBMS > Cloudflare Workers KV vs. GridGain vs. Heroic vs. Hyprcubd vs. Teradata Aster

System Properties Comparison Cloudflare Workers KV vs. GridGain vs. Heroic vs. Hyprcubd vs. Teradata Aster

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGridGain  Xexclude from comparisonHeroic  Xexclude from comparisonHyprcubd  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines 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.GridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchServerless Time Series DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeKey-value store
Relational DBMS
Time Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.gridgain.comgithub.com/­spotify/­heroichyprcubd.com (offline)
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroic
DeveloperCloudflareGridGain Systems, Inc.SpotifyHyprcubd, Inc.Teradata
Initial release2018200720142005
Current releaseGridGain 8.5.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaGo
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedLinux
Data schemeschema-freeyesschema-freeyesFlexible 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 datenoyesyesyes infotime, int, uint, float, stringyes
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.noyesnonoyes infoin Aster File Store
Secondary indexesnoyesyes infovia Elasticsearchnoyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoSQL-like query languageyes
APIs and other access methodsHTTP REST
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC (https)ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nonoR packages
Triggersnoyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yesyes 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 methodsnoyes (compute grid and hadoop accelerator)nonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonono
User concepts infoAccess controlSecurity Hooks for custom implementationstoken accessfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVGridGainHeroicHyprcubdTeradata Aster
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