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DBMS > Cloudflare Workers KV vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. searchxml

System Properties Comparison Cloudflare Workers KV vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. searchxml

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Distributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.DBMS for structured and unstructured content wrapped with an application server
Primary database modelKey-value storeGraph DBMSRelational DBMSKey-value store
Wide column store
Native XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitewww.cloudflare.com/­developer-platform/­workers-kvdgraph.iowww.esgyn.cncloud.google.com/­bigtablewww.searchxml.net/­category/­products
Technical documentationdevelopers.cloudflare.com/­kv/­apidgraph.io/­docscloud.google.com/­bigtable/­docswww.searchxml.net/­support/­handouts
DeveloperCloudflareDgraph Labs, Inc.EsgynGoogleinformationpartners gmbh
Initial release20182016201520152015
Current release1.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial
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 languageGoC++, JavaC++
Server operating systemshostedLinux
OS X
Windows
LinuxhostedWindows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nonononoyes
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsHTTP REST
Proprietary protocol
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnonoJava Stored Proceduresnoyes infoon the application server
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic single-row operationsmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Domain, group and role-based access control at the document level and for application services

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More resources
Cloudflare Workers KVDgraphEsgynDBGoogle Cloud Bigtablesearchxml
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