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DBMS > Cloudflare Workers KV vs. Google Cloud Bigtable vs. HBase vs. Titan vs. Yanza

System Properties Comparison Cloudflare Workers KV vs. Google Cloud Bigtable vs. HBase vs. Titan vs. Yanza

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonTitan  Xexclude from comparisonYanza  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableTitan is a Graph DBMS optimized for distributed clusters.Time Series DBMS for IoT Applications
Primary database modelKey-value storeKey-value store
Wide column store
Wide column storeGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvcloud.google.com/­bigtablehbase.apache.orggithub.com/­thinkaurelius/­titanyanza.com
Technical documentationdevelopers.cloudflare.com/­kv/­apicloud.google.com/­bigtable/­docshbase.apache.org/­book.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperCloudflareGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetAurelius, owned by DataStaxYanza
Initial release20182015200820122015
Current release2.3.4, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoApache license, version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedhostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or datenonooptions to bring your own types, AVROyesno
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
Secondary indexesnononoyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Clojure
Java
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javayesno
Triggersnonoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUser authentification and security via Rexster Graph Serverno

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Cloudflare Workers KVGoogle Cloud BigtableHBaseTitanYanza
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