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

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

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGridGain  Xexclude from comparisonHeroic  Xexclude from comparisonIngres  Xexclude from comparisonTeradata Aster  Xexclude from comparison
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 ElasticSearchWell established RDBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeKey-value store
Relational DBMS
Time Series DBMSRelational 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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.gridgain.comgithub.com/­spotify/­heroicwww.actian.com/­databases/­ingres
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroicdocs.actian.com/­ingres
DeveloperCloudflareGridGain Systems, Inc.SpotifyActian CorporationTeradata
Initial release2018200720141974 infooriginally developed at University Berkely in early 1970s2005
Current releaseGridGain 8.5.111.2, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaC
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
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 datenoyesyesyesyes
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.noyesnono infobut tools for importing/exporting data from/to XML-files availableyes infoin Aster File Store
Secondary indexesnoyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyesyes
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
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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)noyesR packages
Triggersnoyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yesIngres Replicatoryes 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
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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 implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVGridGainHeroicIngresTeradata Aster
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