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DBMS > Cloudflare Workers KV vs. HugeGraph vs. QuestDB vs. Stardog

System Properties Comparison Cloudflare Workers KV vs. HugeGraph vs. QuestDB vs. Stardog

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonHugeGraph  Xexclude from comparisonQuestDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A fast-speed and highly-scalable Graph DBMSA high performance open source SQL database for time series dataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeGraph DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­hugegraph
hugegraph.apache.org
questdb.iowww.stardog.com
Technical documentationdevelopers.cloudflare.com/­kv/­apihugegraph.apache.org/­docsquestdb.io/­docsdocs.stardog.com
DeveloperCloudflareBaiduQuestDB Technology IncStardog-Union
Initial release2018201820142010
Current release0.97.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, RustJava
Server operating systemshostedLinux
macOS
Unix
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesnoyes infoalso supports composite index and range indexnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoSQL with time-series extensionsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHTTP REST
Proprietary protocol
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Groovy
Java
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication with eventual consistencyMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoedges in graphnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped filesyes
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users and roles
More information provided by the system vendor
Cloudflare Workers KVHugeGraphQuestDBStardog
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Cloudflare Workers KVHugeGraphQuestDBStardog
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