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DBMS > Cloudflare Workers KV vs. Dgraph vs. HugeGraph vs. IBM Db2 Event Store vs. Lovefield

System Properties Comparison Cloudflare Workers KV vs. Dgraph vs. HugeGraph vs. IBM Db2 Event Store vs. Lovefield

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDgraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLovefield  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 DBMSA fast-speed and highly-scalable Graph DBMSDistributed Event Store optimized for Internet of Things use casesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelKey-value storeGraph DBMSGraph DBMSEvent Store
Time Series DBMS
Relational DBMS
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
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvdgraph.iogithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2-event-storegoogle.github.io/­lovefield
Technical documentationdevelopers.cloudflare.com/­kv/­apidgraph.io/­docshugegraph.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCloudflareDgraph Labs, Inc.BaiduIBMGoogle
Initial release20182016201820172014
Current release0.92.02.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial infofree developer edition availableOpen 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 languageGoJavaC and C++JavaScript
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Unix
Linux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-freeyesyesyes
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.nonononono
Secondary indexesnoyesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLnononoyes infothrough the embedded Spark runtimeSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsHTTP REST
Proprietary protocol
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScript
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsyesno
TriggersnonononoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via Raftyes infodepending on used storage backend, e.g. Cassandra and HBaseActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing MemoryDB
User concepts infoAccess controlno infoPlanned for future releasesUsers, roles and permissionsfine grained access rights according to SQL-standardno

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More resources
Cloudflare Workers KVDgraphHugeGraphIBM Db2 Event StoreLovefield
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