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DBMS > Cloudflare Workers KV vs. Elasticsearch vs. GridGain vs. SQL.JS vs. Teradata Aster

System Properties Comparison Cloudflare Workers KV vs. Elasticsearch vs. GridGain vs. SQL.JS vs. Teradata Aster

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonElasticsearch  Xexclude from comparisonGridGain  Xexclude from comparisonSQL.JS  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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGridGain is an in-memory computing platform, built on Apache IgnitePort of SQLite to JavaScriptPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeSearch engineKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.elastic.co/­elasticsearchwww.gridgain.comsql.js.org
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.gridgain.com/­docs/­index.htmlsql.js.org/­documentation/­index.html
DeveloperCloudflareElasticGridGain Systems, Inc.Alon Zakai infoenhancements implemented by othersTeradata
Initial release20182010200720122005
Current release8.6, January 2023GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen Sourcecommercial
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 languageJavaJava, C++, .NetJavaScript
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesFlexible 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.nonoyesnoyes infoin Aster File Store
Secondary indexesnoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageANSI-99 for query and DML statements, subset of DDLyes infoSQL-92 is not fully supportedyes
APIs and other access methodsHTTP REST
Proprietary protocol
Java API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JavaScript APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)noR packages
Triggersnoyes infoby using the 'percolation' featureyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)noneyes 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 methodsnoES-Hadoop Connectoryes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVElasticsearchGridGainSQL.JSTeradata Aster
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