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DBMS > Cloudflare Workers KV vs. Google Cloud Bigtable vs. IBM Db2 warehouse vs. JaguarDB vs. TDengine

System Properties Comparison Cloudflare Workers KV vs. Google Cloud Bigtable vs. IBM Db2 warehouse vs. JaguarDB vs. TDengine

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonTDengine  Xexclude from comparison
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.Cloud-based data warehousing servicePerformant, highly scalable DBMS for AI and IoT applicationsTime Series DBMS and big data platform
Primary database modelKey-value storeKey-value store
Wide column store
Relational DBMSKey-value store
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvcloud.google.com/­bigtablewww.ibm.com/­products/­db2/­warehousewww.jaguardb.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdevelopers.cloudflare.com/­kv/­apicloud.google.com/­bigtable/­docswww.jaguardb.com/­support.htmldocs.tdengine.com
DeveloperCloudflareGoogleIBMDataJaguar, Inc.TDEngine, previously Taos Data
Initial release20182015201420152019
Current release3.3 July 20233.0, August 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC
Server operating systemshostedhostedhostedLinuxLinux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nonono infoImport/export of XML data possiblenono
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnonoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLnono
Triggersnonoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDno
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.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardrights management via user accountsyes
More information provided by the system vendor
Cloudflare Workers KVGoogle Cloud BigtableIBM Db2 warehouse infoformerly named IBM dashDBJaguarDBTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Cloudflare Workers KVGoogle Cloud BigtableIBM Db2 warehouse infoformerly named IBM dashDBJaguarDBTDengine
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