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DBMS > Cloudflare Workers KV vs. GridGain vs. Sphinx vs. Teradata Aster vs. TinkerGraph

System Properties Comparison Cloudflare Workers KV vs. GridGain vs. Sphinx vs. Teradata Aster vs. TinkerGraph

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGridGain  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  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 IgniteOpen source search engine for searching in data from different sources, e.g. relational databasesPlatform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value storeKey-value store
Relational DBMS
Search engineRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.gridgain.comsphinxsearch.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.gridgain.com/­docs/­index.htmlsphinxsearch.com/­docs
DeveloperCloudflareGridGain Systems, Inc.Sphinx Technologies Inc.Teradata
Initial release20182007200120052009
Current releaseGridGain 8.5.13.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoApache 2.0
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++, .NetC++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or datenoyesnoyesyes
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.noyesyes infoin Aster File Storeno
Secondary indexesnoyesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)yesno
APIs and other access methodsHTTP REST
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
Python
R
Groovy
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noR packagesno
Triggersnoyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)noneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standardno

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More resources
Cloudflare Workers KVGridGainSphinxTeradata AsterTinkerGraph
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